The Valuation Of High-tech Start-up Companies

Business
42 min, 53 sec read Download Article

Abstract

The research topic will explore various valuation methods for start-up companies mainly technology and social media or social network ‘SocNet’ companies. Startup companies are recognized as young business ventures just beginning to develop. These are small companies whose initial financing and operations are catered for by the founder, family, friends or a single individual. In most cases, such companies offer unique products or services which are not common in the market or which the founder is passionate about. This dissertation seeks to evaluate the operation of such companies focusing on high-tech companies. Such companies are known to have existed for a short period in the market and are characterized by low cash flow. It has been established that the valuation of such companies is largely dependent on the stage of development of the company. According to Leiblein, Chen,and Posen (2017), the valuation of start-up companies is influenced by the business model, the team, the risk, the market and the option to exit from the market. Actually, venture capitalists founded their valuation on the potentiality of the company to grow.

This paper will factor the issue of intangible assets. As noted by Mehralian, Akhavan, Reza Rasekh and Rajabzadeh (2013), hi-tech companies earn most of their value from their intellectual capital, websites and brand equity. We shall analyze how such intangible assets are treated. The study will evaluate various methods applicable in valuing start-up companies. As indicated before these companies are characterized by pure equity financing, negative earnings, and binary business models. The earlier methods used to value them which include discounted cash flow, comparable transactions or valuation multiples cannot be applied because these companies have a high degree of uncertainty, volatile discount rates, short histories, limited financial data, comparable transactions or comparable companies. In this case, new valuation methods such as venture capital, real options valuation, and discounted cash flow will be evaluated and applied to a case study. This dissertation will also discuss non-financial aspects in valuation since experience, and personal skills of the management team and the founder have a great impact on the value of a start-up. The structuring will include an introduction, aims, and objectives of the study, literature review, methodology, analysis and discussion. The conclusion will include proposals for further research which is crucial in understanding the operation and valuation of start-up companies.

Introduction

According to Ruokolainen and Aarikka-Stenroos (2016), startup companies are firms in early stages of growth and have unique characteristics. In most cases, they have new products or services and ideas that have market potential. They are run by the founders who capitalize on innovation and quality services and products. Such companies require more funding from venture capitals (VCs) since they not only have limited revenue and have high operational costs and more importantly because the founders lack enough capital. Startup companies can seek to fund from angel investors, venture capital firms or commercial banks. However, investing in such firms has a high risk, as well as high reward, in case the business succeeds. Investors in start-ups risk a lot due to the uncertainty of the business. Once they invest in the firms, they take an equity stake and share in the company’s upside and downside. According to Caldararo (2015), most of the startup companies have been trying to chase unicorn valuations. Investors such as capitalists are evaluating new ideas, great business models, and improved management skills to make huge success through investments.

 As noted by Weinman (2007), startups in areas of technology, internet and digital health are some of the common trends in the current business environment. Many graduates are inspired by the tremendous growth of startups such as Snapchat, Dropbox, and Facebook. Some veterans like Bill Gates are of the opinion that people should be cautious when valuing unicorns since young companies such as cloud storage company Box and Payment Provider Square have been on record due to stock market fluctuations that have disappointed the investors. Before agreeing to finance startup companies, it is inevitable that investors and founders would determine the value of the company. Sophia van Zyl (2009) asserts that some websites among the YouNoodle have been tailored to predict the value of startups through algorism. However, such valuations are not factual. It has been established that assessing the value of a startup company is not an easy task due to their uncertain growth, short financial history, past transactions and little comparability to other companies. Therefore, more investors and founders of such companies have been wondering how best to assess the valuation of start-up companies.

Research Aim and Objectives

This research will evaluate various methods used to value start-up companies and how the process is done during early stages of the business. The seeding phase, growth and exit phases will be discussed. Also, this research will factor the process undertaken by start-ups when the matters of fundraising and investment arise. We shall discuss how the companies are valued during exit to facilitate IPO, acquisition, and merger. It shall be noted that at the initial stage the valuation of a start-up provides investors with a high share price than the pre-IPO stage where the valuation is at a lower price. This creates doubts and questions about the accuracy of various assumptions adopted in valuation as well as the process of valuing a new business. This research aims to understand various methods used to value a new start-up company and one at the exit point. We shall note the similarities and differences of various methods of valuation and how they interlink. This will help in understanding whether the valuation of a start-up company at its initial stage is correct and if the value of such a business is the same today as predetermined earlier. The objective of this work is to note how various valuation methods relate and the relationship between early stages valuation and exit stages valuation.  As observed by Saunders and Lewis (2012), the use of case study assists in understanding a concept. This research shall adopt a case study to explore different valuation methods of start-ups.

Literature Review

The valuation of start-ups is difficult due to various reasons. According to Backes-Gellner and Werner (2007), start-up companies are characterized by negative cash flows, little or no revenue at all, making losses, binary models, equity financing, and short history. This results in uncertainty and volatility since economic models have to be built. Such volatility and uncertainty affect the valuation of start-up companies at their primary stages, and just a small percentage of them survive in the market. Different researchers have published data showing the longevity of startups in various sectors showing that only an average of 44% of the companies makes it through the fourth year. The data shows an average of 31% of the startups survived the seventh year. Therefore, the rate of failure of such companies decreases at a decreasing rate hence if a startup survives for long the possibility of it growing in employment and sales is high. The table below portrays statistics of startups’ survival over the last seven years (Pryor, 2017).

Sector

 

First year

%

Second year

%

Third year

%

Fourth year

%

Fifth year

%

Sixth year

%

Seventh year

%

Natural Resources

82.3

69.5

59.4

49.5

43.4

39.9

36.6

Construction

80.7

65.8

53.6

42.6

37.0

33.4

30.0

Manufacturing

84.2

68.7

57.0

47.4

40.9

37.1

33.9

Transportation

82.6

66.8

54.7

44.7

38.2

34.1

31.0

Information

80.8

62.9

49.5

37.7

31.3

28.3

24.8

Financial activities

84.1

69.6

58.6

49.3

43.9

40.3

36.9

Business services

82.3

66.8

55.1

44.3

38.1

34.5

31.1

Health services

85.6

72.8

63.7

55.4

50.1

46.5

43.8

Leisure

81.2

65.0

53.7

43.8

38.1

34.6

31.4

Other services

80.7

64.8

53.3

43.9

37.0

32.3

28.8

Total start-ups

81.2

65.8

54.3

44.4

38.3

34.4

31.2

 

Fig 1: The probability of start-ups’ survival per industry

 

Davila and Foster (2007) assert that startup companies take a lot of time before flourishing into established ventures. In the process, they experience different stages ranging from the early stage, middle and the final stage as analyzed below:

Idea Companies-At the first stage the founders work on their idea and test it to evaluate whether further investments are necessary. During this phase, no income is generated because the product has to be developed first. The testing and the development cost a lot of revenue leading to huge operating losses. This is considered the highest stage of risk since the product has to be tested, developed and launched to access the market.

Start-up Companies-At this level the company launches its product and receives the first revenue from the customers. However, the revenue generated is not enough to position the company steadily in the market. This is due to high cost of development, growth, and marketing. A start-up at this stage proves to have succeeded in marketing for presenting its product but requires strategizing on profit making to survive.

Second Stage Companies-At this level the company increases its revenues to the point of generating profits. It is characterized by a laid down business model and operating history as well as reduced losses. Start-ups at this stage try to access more capital through IPO or merger or acquisition to expand their ventures hence the need for valuation (Clark & Mills 2013).

Figure 2: Different phases of start-ups (Duarte 2016)

 

 

Figure 3: Different phases of start-ups

As noted by Damodaran (2009), investments in start-up companies are usually illiquid due to the fact that they are privately owned by the founders and follow the negotiated terms. Such terms are agreed upon depending on the level of the investment risk. In this regard, the company is valued at different intervals to establish the share of the investor. The founder focuses on getting as much investment as possible from external investors to foster growth while the investors aim at buying shares at a low price waiting to sell later at a higher price. Damodaran observed various risks associated with start-ups. For instance, such companies have limited information available as compared to larger listed companies thus exposing investors to information risk. Also, considering that the investors are likely to gain value in future, the companies are characterized by uncertainty and one cannot be sure what value the start-up will provide. Such companies are privately owned which makes investment process a risky venture. Therefore, start-ups are expected to carry out liquidity discount because investors are faced with liquidity risk. Such companies require a higher estimate of returns of about 20% to 30%.

The fact that these young companies have limited history, depend on equity from private sources and have a high probability of failure, contribute to making it more harder to value. It would therefore be important to factor in the estimation or valuation issues which challenge investors in these young ventures. In intrinsic valuation, there are four things that present a challenge in valuation. They are cash flows from existing assets, the expected growth on both new and existing investment, improved efficiency on existing assets and the discount rates which emerge from the assessment of risks in both operations and equity. On each of these issues, young businesses face challenge which can be traced to their characteristics stated above. The common procedure for estimating existing assets on business is to use the latest financial statement and other records within the firm to estimate their potential cash flow and attach some value to them. Some young businesses do not have enough historical financial statements to serve this purpose. For instance, it is not possible to estimate the potential cash flow of an asset of a company that has no history. Any attempt to do that will result to erroneous estimations, which may completely be wrong.

 As it is often the case, valuation of start-ups becomes difficult due to the uncertainty of their business models, future revenues, earnings, and cost. Since the technological ideas instituted in such companies are new, it is difficult to predict investment and cash flow requirements as well as future growth. The process of valuation includes factoring intangible assets which in most cases may not appear on the balance sheet. Most of the value of these companies is based on terminal value due to the losses incurred by the companies. Additionally, due to negative cash flows and earnings, both equity multiples and enterprise may not be used unless there are projected future values. Studies have shown that income generation does not provide the required information for valuing start-ups, but such is factored when the company continues to grow. The characteristics of these companies which include short history, loss-making, binary business model, and equity financing make it difficult to apply valuation method which is commonly used in valuing a company.

Growth Phase

The biggest part of a young company’s value comes from the growth of assets. The biggest challenge comes in determining whether these companies, or rather assets should be valued, and if so, how and what accuracy shall such valuation bear. There is several challenges business run while trying to use this method to value businesses. For instance, the absence of revenue, or lack of history on the same means valuers have nothing to base their valuations on. Note that valuers use the assets historical performance to project the expected growth rate, which is not often possible in the case where the assets are new. In most cases, the firm’s founders are left to give their estimations, which are taken as the true value of the assets, despite the numerous disadvantages associated with that. Even in cases where it is possible to make estimations, projections are necessary on future income. Given the fact that young companies report losses, and have no history of operating income makes it harder to do a credible value estimation of the firm’s assets. Overall, in estimating young company growth, it is not growth in revenue or other things which determined its value, it is the quality if such growth.

Exit Value

Valuation in the terminal phase is even more complicated. It is common for young companies to have a terminal value accounting for a significant portion of the business. It can be 90 percent, or even 100 percent or even more. Therefore, assumptions as to when such a firm will become stable, a pre-requisite for estimating terminal value have a substantial effect on the whole process of valuing the business. However, the hardest part is brought it comes hard to address three key concerns. First, is establishing whether the firm will make it to the stable growth, when will that happen, and how the firm will look like at the stable growth. All these concerns are subject to assumptions, which can differ from different parties com0licating the whole issues of valuing start-ups in the exit phase. All these complications or challenges in valuing startup companies emerge from the basic characteristics of the firms; young, no history, majorly funded by private equities among other things.

Methodology

Research Approach: The research approach adopted is deductive. The existing literature on various methods used to value start-up companies will be looked into to evaluate propositions given and other related hypotheses.

Data Collection Method: The data collection method used is the focus group. The study will focus on start-up companies in the technology and social nets and evaluate the various valuations methods thereof. A case study shall be used to show the real application of these valuation methods and to explore the links of such methods. It will involve the review of the existing literature and journals as well as different theories by the scholars.

Ethical Issues: This research is guided by the highest ethical standards expected. Individuals who contributed to the research and asked for anonymity will not be mentioned. All the arguments will be provided with a supporting reference to ensure that everybody trusts this research. Fairness will be observed when addressing different valuation methods and arguments by different scholars.

Research Design: The research design adopted is the exploration of available literature and the use of a case study in real life showing the application of different valuation methods. This study is reliable and provides insight information regarding startups and their valuation.

Research Limitations and Appropriateness: The research is limited due to few available kinds of literature about the valuation of start-up companies. However, the design adopted is appropriate due to the in-depth analysis of different valuation methods by use of a case study.

 

 

Analysis and Discussion

1. Discounted Cash Flow Method. As illustrated by Götze, Northcott, and Schuster (2015), the Discounted Cash Flow Method (DCM) is based on valuing the whole company by discounting the free cash flows to the firm (FCFF) with the firm’s weighted average cost of capital (WACC). By deducting the net debt from the company value of the discounted cash flow, the shareholders’ equity is realized. The value of an enterprise can also be calculated as follows:

EV = Market Value of Debt + Market Capitalization – Cash and Equivalents

The cash flows are predicted for a given number of years. Terminal value (TV) is calculated for the cash flows received after the projected period. Below is the formula for calculating the free cash flows:

FCFF = operating income (EBIT) × (1-Tax rate)-Capital expenditures + Amortization and depreciation – Change in net working capital

 

The terminal value is calculated with either the continuous growth method or the multiple terminal methods.  The terminal method applies average multiple arrived at after selecting trading multiples of a company and then multiplying with the forecasted figures of the last projected period.

TV = Terminal multiple × Corresponding financials for projected period

These are commonly enterprise value multiples like EV/EBITDA or EV/Sales because DCF approach values the overall company and not just the equity which is applicable for equity multiples like Price-Earnings-Ratio (P/E).

    The terminal value gotten from free cash flow after the forecasting assumes that the start-up will continually grow and earn FCFF with time. The perpetual rate of growth (g) is the historical rate of inflation or GDP growth rate. If the rate of growth is higher than one of the values, then the firm is predicted to outgrow the economy. Below is the formula for the terminal value with FCFF:

TV =   FCFF t X × (1+g)

WACC-g

If most of the cash flows are realized after the forecasting period, then the TV of the firm forms a big part of the valuation. Bodie (2013) asserts that valuation using the DCF approach is founded on the assumptions of future growth, weighted average cost of capital and the company’s history. However, the approach can’t be used in valuing start-ups due to the basic characteristics of the startups stated in the paper.

2. Real Options Method. According to Collan, Fullér, and Mezei (2009), traditional methods do not estimate the uncertainty of hi-tech startups. DCF approach shows that investors do not shift from the original investment plan but stick to it for the period of investment. Dimakopoulou, Pramatari, and Doukidis (2012) assert that with time DCF undervalues the projects because it doesn’t consider the value of flexibility in the investment. In reality, the changes and the uncertainty in the market force businesses to come up with new plans and strategies. The real options analyses focus on the idea that investors are capable of controlling flexibility and uncertainty which other valuation approaches don’t factor. This method approaches investments given multiple stages. The primary idea is to shift the pricing models to the valuation of uncertain and risky projects. The goal of real options is to reduce risk and increase the potential for investments. Contrary to financial options, real option factors investments in real assets. This method is becoming popular in the market but still appears more in research studies than in reality. The major reason is that the method demands complex calculations that small businesses are not familiar with.

2.1Financial Options: Real options approach depends highly on financial option theory. Financial options have been common for many years, but they became more relevant after the publishing of Black-Scholes pricing theory in 1972. Financial options are contracts between sellers and buyers that provide the buyer with a right not obligation to sell or buy an asset at a later period for a predetermined cost. Such buying option is regarded as call option while the option to sell is a put option. Damodaran explains a call option as a choice where the buyer is given a right to purchase a machine at an agreed price anytime after the expiry of the option. The buyer is required to pay a premium to earn this right. When the predetermined period expires, and the asset has lost value, the buyer does not necessarily exercise the right and the loss applicable is the paid premium. However, if the asset increases in value, the buyer exercises the right and gains on the difference. A put option provides the buyer with an option of selling the asset in question anytime before the given period lapses. The buyer must pay a premium to obtain this right. If the asset gains in value the buyer will not be allowed to access the right. Therefore, the put option has a negative payoff when the value of the asset is more than the strike price. On the other hand, it has a gross payoff similar to the strike price less the cost of the asset when the asset costs less than the strike price. The option value is influenced by a list of variables that relate to the financial markets and the underlying asset. Such variables affect the pricing as indicated in the following table:

Variables

Call option

Put option

Increase in the price of the current asset

Increase the call price and the pay off

Reduced value of put and payoff

Increased strike price

Reduced value and payoff

Increase value and payoff

Greater the maturity time

Increased call  value because the asset has chances of attaining high value

Increased put value since the asset has high chances of attaining low values

Greater stock volatility

Increased value because the asset has high chances of attaining high values

 Increased put value since the asset has high chance of attaining low values

High rates of  interest

High rate of interests equal low  PV strike price thus increased call value

 High rates of interest lower the strike price PV hence decreased  put value

Fig Variables affecting option pricing

Thakoor, Tangman, and Bhuruth (2014) suggested three possible solutions for option valuation. The first one relates to partial differential equations (PDE) which are analytical models commonly used in valuing Black-Scholes model. The other possible methods include numerical simulations such as binomial analyses. The last solution entails simulations such as Monte Carlo model. The analysis of option pricing considers uncertainty as a crucial factor in valuation. Black-Scholes model was tailored to price monthly times founded on historical information. However, hi-tech startups are characterized by many years of investing horizon. Thus Black-Scholes model is not applicable in arriving at a correct valuation. Therefore, pricing analyses are helpful in valuing startups and binomial model may predict the future outcome better as compared to traditional l methods. Some scholars found that binomial model have good predictions on long horizon since they factor the changes on option maturity. An article writer introduced a pricing model based on binomial tree. The primary idea is that the higher the number of steps the closer it is towards valuing Black-Scholes model. The process may be complicated but it is rated more reliable than Black-Scholes model due to its accommodation of American style option and dividend paying assets.

2.2 Real Options. In this model, investments are divided in various phases the first phase having more information than the rest. After this level, the re-evaluation of investment is carried out and decisions for the second investment realized. Hi-tech start-ups are understood as a group that has opportunities in the advanced technology, big market potential and high R&D investments. In most cases such opportunities are the only valuable asset relied on by the company. The process of valuing such assets is not clear hence investors wait to know whether the company has potential before investing leading to over or under investment. As noted by Trigeorgis and Reuer (2017), real options share similar features with financial options. As noted before, the call option provides the buying right to the buyer. Similarly, the real option provides investors with the right to commit at a predetermined value. The ideal real option asset is considered the start-up. The more uncertain the companies are on profits and revenues the higher the value of the option and the more the waiting period of investment by the investors. The following table shows how similar real and financial options are:

Financial option

Real option

Underlying asset’s value

Present value of the expected cash flows

Option strike value

Investment cost

Maturity time

Time towards expiry date of investment

Uncertainty in the value of asset

Uncertainty of value of the start-up

Risk-free rate

Risk-free rate

 Fig Similarity between real and financial options

The above objective factors influence the valuing of an option. Real options help in recognizing aspects that create uncertainty thus making it possible for investors in the real option to examine the possible outcomes. Scholars have suggested that investors should apply real options method when considering investing in ventures with uncertainty which include start-ups. There is a high rate of uncertainty about the trend of the business, so the investors are advised to advance from flexibility since the value of the investment is determined by the growth opportunities and not from cash flows. Also, investors should factor different investments or strategies in the future.

Limitations of Real Option Approach. Damodaran (2016) noted that real options approach has some limitations. As outlined before, the method is founded on assumptions that could hinder the valuing of hi-tech startups. First, start-up companies are not listed. Option pricing theory assumes that a replicate portfolio can be made on the basis of riskless borrowing and lending and the underlying asset. Secondly, the value of a start-up has no continuous process as it is the assumption of Black-Scholes model. Thirdly, the variance of an option should be known, and it should not change throughout the maturity period. However, hi-tech start-ups have long horizons of investment, and the variance of the process is not constant thus rendering the assumption futile. The Black-Scholes model is limited because the process is instantaneous and cannot justify the real option and the hi-tech start-ups. Binominal models require fewer skills and mathematical background. Therefore, it should be more applied than real options models. The binomial model illustrates the changes in the value of a start-up. The investor is provided with an opportunity to build a tree from expected outcomes. Such outcomes form the basis of finding alternatives of the underlying asset. Advantages of binomial model include that it provides a huge number of options applicable and it is the most applicable method for users, and its consequences and uncertainty are illustrated with visual images.

3. Venture Capital Method. As noted by Miloud, Aspelund, and Cabrol (2012), this method was established in 1987 by William Sahlman who founded it on the assumption that the value the investor gains in a startup is the value of the company at early stage calculated at an exit event. The method consists of income and market approach. The primary idea of the approach is based on combining DCF analysis with multiples. The rationale of the model is that after investing an investor will want to exit at a certain point and time. Also, it factors the percentage of the equity an investor wishes to acquire. As asserted by the scholars, venture capital method is applied during seeding, when the price is dominant and when a startup is experiencing negative earnings and cash flows. That is when the company has potential future gains, but the uncertainty is high. The method is based on the amount of investment an investor wishes to commit for a share and the money required investing. It is essential to calculate the ownership an investor receives after committing to a start-up. The company will always want to have a proportion that is equitable to the size of the investment and the risk thereof. On the other hand, investors would want to earn an equitable proportion based on the risk involved and not less. Damodaran illustrates the process of valuation using venture capital method:

First, the earnings to future are estimated where 2 to 5 years is the period estimated for investment. In this case, the better becomes the four years since the forecasted period is provided to the exit point. Secondly, the value at the end of the forecasted time (n) is multiplied by the P/E ratio that listed firms in the industry apply in trading. The multiple may also be obtained from the sold companies in the industry or the recently listed companies.

Value of Equity n = Earnings n × P/E

Just as applied to other models the time value of money is considered. Therefore, the third step involves the discounting of estimated equity value at a targeted rate of return. Due to related risks in the investment and the concerns that the company may not survive the target rate of return is set high. In most cases, VCs apply a discount rate of 30% to 70%. In this case, the PV is calculated as follows:

PV equity = Value of equity n

        (1+r) n   

The fourth stage involves the calculation of the proportion that an investor receives from the company. This is done by summing the introduced capital and the estimated present value (PV) of equity. At step 3 the PV of equity calculated is known as pre-money value while the value arrived at after adding the introduced capital is known as post-money value. In this case;

Post-money value= Pre-money valuation (PV equity) + New capital

The equity proportion of the venture capitalist is arrived at by dividing the introduced capital by post-money valuation as shown below:

Equity proportion to investor = Capital provided ∕ Post-money valuation

4. Mergers and Acquisitions in Startups. One of the greatest exit strategies amidst all the challenges faced by startups is to merge or be acquired by another company, which shall use the product or service the company had created. These present a set of challenges in valuing the business, and the deal can go wrong for either side. For instance, the acquiring company can pay more than the firm is, or the founder can get a raw deal. There is no clear way to avoid this, given the challenge that exists in valuing young companies when they are merging or are being acquired by bigger companies. Valuation becomes tricky when the buyer is looking for low valued products, as is the case in the technology industry. They may be after something which is strategically placed and would serve their mission. In merger and acquisitions, various methodologies discussed above are used to estimate the value of the company. In the end, they also face similar challenges faced by all firms which try to put values to startups.

Case Company

This chapter seeks to test the three valuation methods of start-up companies in real life of high-tech start-up companies. The company discussed operates in a market with the high potential of innovation. The objective is to find out how the models are applied in valuing start-ups. The case company, in this case, is Maas Global. The NPV for investment will not necessarily be positive for all the models. Maas Global is eying an investment of 1 million euro. As per the focus of this study, Maas Global is in its early stages of growth, and the valuation will be founded on the future expectations. The company is actively looking forward to having the first phase of external investments whose purpose is to facilitate commercial operations. The case company operates in a market with a niche and has few competitors thus allowing it to expand easily.

Discounted Cash Flow: This method is the one usually used among VCs. This chapter will analyze DCF about the case study. The first part of such analysis will be the evaluation of the future income statement with an emphasis on the cost of goods sold (COGS), the revenue, EBIT, and EBITDA. The tax rate applicable is the Finnish corporation rate of 20% (Hanson & Brannon 2017). Also, the losses incurred in the first year are deductible thus the payment is made starting from the sixth year.

The second step involves the calculating the free cash flows (FCFF) for the projected period which is eight years. The weighted average cost of capital will be applied to discount the free cash flows. The cost of debt will be the interest rate on the cost of equity and bank loans and is arrived at using CAPM. The sector levered beta will be used in CAPM. The betas will be calculated in two phases because the competitors of Maas Global come from different industries. The Finnish ten years bond at an interest rate of 1.92% will be used as the risk-free rate. The market premium will be factored at 5%.As provided by Modigliani-Miller theory, the debt-to-equity ratio will be considered as well as the effects it posses on the cost of equity since Maas Global is not wholly financed with equity (Alawiye-Adams & Babatunde 2013). Moreover, the amount of equity will be adjusted with capital loan also considered as equity. The following table shows the calculations of Maas Global’s NPV:

 

 

 

 

 

 

 

 

 

            NPV Calculations Maas Global

1000€                                               Industry 1                         Industry 2

Beta

Perpetuity growth rate

PV FCF

Terminal Value PV

Terminal % total

PV total

NPV total

Profit

2.73

2%

1612.02

1765.62

52.1

3386.63

2386.63

239%

3.08

2%

1420.37

1229.66

46.4%

2650.04

1650.04

165%

NPV of Maas Global

The above table shows that even when the growth rate is low and there is a high beta, the NPV exceeds 2 million. In the industry 2 with a beta which is higher than industry one the NPV is over 1.5 million. The projected period has a longer horizon for start-ups, but the hi-tech market does not change rapidly like in other industries so the forecast can be applied further to future. In both instances, the terminal value when valuing is approximately 50% for both industries. However, a shorter forecast period leads to a higher terminal value. When hi-tech start-ups are valued, the terminal value is almost 100% of the PV because most of their growth and profits result from the forecast period. For instance, the forecast period of this study is high with profits being realized after three years hence the terminal value appears lower than in normal cases. The high profits and NPV in Maas Global can be further outlined through the market potential. It is interesting that the company’s competitors lack the same cost-benefit and technology Maas Global enjoys. Therefore, the market potential is high with such innovation and the profits and revenues are collected within a short period due to innovation and efficiency.

Real Option Based Method. The real options are used in this study to complement other models and as a strategic tool. In this case, there will be no specific mathematical figures, but the aim is to create discussion and give new perspectives. As provided by Yin (2013), the real options model should not be used alone thus the purpose is to show how well the method works when used as a secondary method of valuation. Valuation of startups is founded on a valuation of opportunities, so the real options method is essential in its application. The main question is what and which situations can the method be used.

Option to defer-The option lacks much value for VCs since it is based on decreasing uncertainty through the strategy of waiting for a fall in price. Maas Global is actively in business. Therefore, waiting for the prices to go down may give room for inviting competition and yet the company has no enough cash flows. In such a condition there is no value in waiting.

Time to build option-This can be valuable because of the possibilities of abandoning the project and staging the investment. In this regard, the option is expanded since most of the R&D applied. The VCs have a staging choice because the expansion of the market follows certain steps to new markets. The investment in Maas Global is used to establish the operations so there lack options of staging the invested amount though after the first round of investment VCs can assist the company finds investors for increased cash flows and strategic expansion.

The option of altering operating scale-This option is meant to expand the scale of investment in case the conditions are more feasible than projected. This is a call option. The cost of investment is not volatile, and therefore it can’t affect the option value. However, VCs can gain from the volatility of the start-ups. If the market potential and the market price increases, the option value increases since investments may be made in faster phase.

The option of abandoning a project- In case an investment is a failure then the stock of a firm may be sold. This happens to be a put option. The strike price of such an option is the value of the share of a start-up’s stock if it is shifted or sold to a higher value use. Maas Global may opt to sell the machinery which is not earning the company value. The option increases if there is a decrease in cash flows, volatility is small, the expiry date is short, and investment cost is increasing. In such a case, the option has good value since the money obtained is directed to machinery building and facility. Investors may claim control of the tangible assets in case a company fails.

The option of switching inputs or outputs-This option is observed as a management option. It requires the process and product flexibility. Maas Global’s output cannot be tampered with, but it is crucial that the invention and innovation are applicable in different industries. The option of switching the inputs or the outputs is not an option of VCs but can be applied in agreement with the management.

Growth option-The option is almost the same as the time to build option. This option can be identified as an essential one for this case study. Almost all the investments in the early stages of hi-tech start-ups are viewed as growing investments. Maas Global’s investments provide a basis for future avenues through a pilot project. Such market potential is available across the globe. An investor can first confirm how one facility is working and later invest in new facilities in other countries. Such a call option is valuable for VC investors since the cash flow increases once the first investment is placed and VCs benefit from hi-tech’ volatility. The recommended combination of real options in Maas Global will be an option to abandon, time to build option and growth option.

Venture Capital Method: This method is used to value long-term, high-risk start-up companies. In the valuation of our case company, the assumption is that there exists a single financing round towards the exit point. In this case, there is no need to be concerned about the dilution of shares. This process kicks off after the estimation of future returns and it the same process that was applied in the DCF analyses is used. The exit period is fixed for five years and the discount rate applied is the projected return on investment. Santarelli and Vivarelli (2007) suggest that in most cases VCs demand a profit of 30% to 70%. The required return, in this case, is set at 30% which is the applicable relatively low discount rate. This discount rate is set low due to the presence of a management team in the company with vast experience in the industry, pending patents, identified customers, innovation, intellectual property and careful studies that portray a new technology. Considering that the company has competitive advantage and expertise, the discount rate could still be reduced. Equity-based numbers are used to calculate the exit value. The sector P/E ratio is multiplied by the net income. After this, three different scenarios are established. The base scenario assumes that whatever is planned works smoothly. The downside case assumes that the project suffers a one year delay. Finally, the upside case assumes that the project kicks off faster than expected by one year. The following table shows the results of the VC method:

 

 

 

 

 

 

 

            NPV Calculations Maas Global

1000€                                                   

                                                  Base case                             Downside                      Upside                

 Exit value

P/E ratio

Time to exit

Discount rate

Investment amount

Equity value post-money

Equity value pre-money

Proportion of equity to VC

No. of shares pre-money

No. of new shares

No. of shares post money

Price per share

 

11775.92

17.42

5

30.0%

1000

3171.60

2171.60

31.53%

605

275

884

3.59

9337.12

17.42

5

30.0%

1000

2514.76

15.14.76

39.77%

605

399

1004

2.50

25816.14

17.42

5

30.0%

1000

6953.12

5953.12

14.38%

605

102

707

9.84

Fig The Venture Capital Method results for Maas Global (Bandera & Thomas 2017)

The above results show that VCs acquires 14 to 39% of the firm depending on the scenario. The best position for the company is that it goes public when the VCs exit and the acquired shares should be sold through the IPO.  The downside case shows that VCs will acquire the highest proportion of the firm through the scenario is not meant for VCs or entrepreneurs as the cash flows and the profits are earned at a later phase with more uncertainty.

The base case valuation is quite the same as the DCF model. However, the venture capital approach focuses more on situation based method. It is essential for entrepreneurs to ensure they retain the biggest proportion of the company. In this case, they will obtain 85 to 60% of the shares. In real life situation, the scenario will follow one of the above-provided outcomes. Therefore, he gains obtained by VCs for investing is more likely to be a negotiation aspect and not mathematical calculations. The venture capital method assists the negotiations but cannot solely solve the problems faced in valuation.

Summary of the Findings

This chapter seeks to compare the findings of the valuation models discussed in this paper. The research problem was to evaluate the available valuation methods for hi-tech startups and to understand how these models are similar or different with one another. Also, the study sought to research on improved models that can be employed in valuing the startups. The major finding is that there is no exact way of using the available models in valuation. However, the interlinking of several methods has proven to be useful in arriving at the possible valuations. DCF is the commonly used model, but it is strongly founded on assumptions depending on the business being valued. An assumption has to be made to arrive at the cost of capital to be used for the discount rate. It has been noted that there is no specific way to determining the cost of capital when valuing hi-tech startups which have high peer group and do not trade publicly. The greatest challenge is how to find the cost of equity. Scholars have suggested the use of adjusted CAPM to arrive at the cost of equity. This study factored the adjustment of CAMP through the beta ratio. On the other hand, the free cash flows were based on investors’ and entrepreneurs’’ projections though there exist other good FCF calculation methods. These methods are applicable if the calculation of the gross profits and the cost structure of the start-ups are properly done. The DCF is popular among VCs and is commonly used base on its easiness of use and its flexibility of allowing different scenarios to be factored. In the process of valuing start-ups using the DCF, it is important to carry out sensitivity analyses and establishes the kind of effects that changes in cash flows, beta and the rate of growth have to the NV. This will enable the investors to consider better the volatility and the changing environment of the start-ups.

Real options and financial options are similar tools which give numerical values of companies. However, according to Schachter and Mancarella (2016), the mathematical use of real options is difficult in real cases hence not widely applied. Instead, they are used as analytical tools to advance other models. For instance, DCF doesn’t factor the changing environment where real options are applied to DCF investors have a chance to make various investment strategies and what if situations. When considered mathematically, real options make the NPV as follows:

Strategic NPV = Static NPV + Option Value

For example; if investors have assumptions to the DCF model then they may validate different what if situations and assumptions with real options analyses. When the investment horizon is the long, real options are considered very effecting tools and one can trust the model with complete assurance. 

    Venture capital method is considered to have certain advantages when compared with the real option and DCF models. The venture capital does not factor free cash flows which are commonly difficult to ascertain in startups. In most cases, the slightest assumptions and estimates of investments and operating expenses are better than the failure to estimate. The discount rate used by the VC approach shows the risk of VCs. However, in many instances, the investment appears unprofitable due to the high discount rate. Real option and venture capital methods are more concerned about the changing environment than the DCF model. However, venture capital method is challenged because in the end the entrepreneurs and the investors have to negotiate and agree on the proportion.

    DCF gives the best statistical measures for start-ups when the adjustment of risks is correctly made, and few assumptions are adopted because the method is easy to manipulate. According to Bos, Sanders, and Secchi (2013), real options are best applied in analytical thinking and are difficult to apply if entrepreneurs or investors require the exact numbers after the evaluation. On the other hand, venture capital model is considered an essential tool for VCs but has no much help for the entrepreneur. VCs can use venture capital to analyze the proportion they are likely to get for investing. The proportion gained from the company is an important factor for the VCs when deciding to invest, when making an exit and when considering the IPO. When the VC method is applied, entrepreneurs often lose because VCs demand as high proportion as possible to themselves and possess high negotiation power. In this case, post-money valuation is usually negotiated with investors and entrepreneurs hence the scenarios appear to have more symbolic values than fundamentals.

Conclusion and Recommendation

    Some of the challenging tasks noted in start-ups include changing discount rates, fluctuating free cash flows, lack of financial data and low survival rates. These challenges make it difficult to value start-up companies. The companies have peculiar characteristics which include binary business models, equity financing and loss-making thus differentiating them from large companies. This study has outlined various limitations of traditional valuation methods with a specific interest in hi-tech start-ups. In real life, the valuation of start-ups depends on the willingness of the investors and the entrepreneurs to agree on a common price in investments and the relevant proportion of equity. The necessity of non-financial data in valuing start-ups has been noted. The decision to invest in a startup is based on the management ability, founders’ industry experience, the quality of the founders, and the team experience. The study has to a conclusion that there is no specific method applicable for valuing start-ups with accuracy. However, any attempts to answer questions relating to uncertain investments and high risks as is the case for startups would highly improve the process of decisions making for investors and the founders. 

    For future research, it is recommendable to establish whether the discussed methods are applicable in different industries. For instance, according to Krychowski and Quélin (2010) research shows that real option is applicable in pharmaceutical, mining and technology industries. Further research could establish whether the real option can apply in other industries such as engineering, fashion, and automotive startups. Additionally, start-up companies require a different amount of capital. Further research should investigate whether it is necessary to have multiple rounds of financing start-ups as well as other available sources of financing. It should also be established how such financing may impact the valuation of the companies. The available valuation methods should be compared and reviewed in details to find out which technique is more appropriate in valuing start-ups. This can be done by evaluating the similarities and differences of the valuing methods as they are applied in different situations and industries. The focus should be on start-up companies. As noted in this study, various non-financial aspects affect the valuation of the start-ups. Further research should focus on investigating such factors and avail information as to which aspects are very influencing and how the investors and the founders should treat them during the valuation process. This may depend on the industry, the type of investors and the necessity to investigate.

    In conclusion, this dissertation examines various valuations methods applicable for start-up companies. The objective was to explore different models and provide insight on how best to value the start-ups at different stages of seeding, growth and exit point. The findings would be relevant in decisions making during investment, acquisition, merger, and IPO. The study focused on hi-technology start-up companies due to their unique features. It involved the analyses and examination of previous studies and literature. The three models evaluated were arrived at based on their characteristics and literature. The models were tested by adopting a case study where Maas Global, a hi-tech start-up was analyzed. Considering the popularity of this topic nowadays, only a few studies are available concerning the valuation. Most of them consider strategic management of start-ups which is an important avenue. Several valuations were discussed to assist in the decision making of the investors and the founders as well as the public while the companies issue IPO. Further research should be carried out regarding risk-adjusted CAPMs for hi-tech start-ups and evaluate the effect of risk adjustment on valuation. The research should factor other aspects as recommended in this study.

Share this post:

Cite this Page

APA 7
MLA 9
Harvard
Chicago

GradShark (2023). The Valuation of High-tech Start-up Companies. GradShark. https://gradshark.com/example/the-valuation-of-high-tech-start-up-companies

Finding it challenging to complete your essay within the given deadlines?