¿Cuáles son las mejores herramientas de valoración para startups?

The valuation is typically set by the amount of money the startup is being able to raise. In general the rule of thumb is: the more you can raise, the higher the valuation. Average startup dilution is: - small seed round (10% - 20% - huge seed round, for example in deeptech / biotech (35% - 40%) - A-round (30%) - B-round (25%) - C-round (20%) - D-round (15%)

Valuations are a black art and weird science. If the team is good enough, the chase is the right thing, and the money required is about right, think no more than 20% dilution at a first round and the valuation isn't so high it sets the founder up for a problematic next round, that usually works.

This approach determines the value of a startup by comparing it to similar companies in the market that have been recently sold or are publicly traded. Common methods within this approach include the comparable transactions method and the guideline public company method. This approach can be useful when there are comparable transactions or publicly available data for similar startups.

When valuing startups, several effective tools aid in determining their worth. Discounted Cash Flow (DCF) analysis evaluates a startup's future cash flows, considering the time value of money. Comparable Company Analysis (CCA) compares the startup to similar businesses in the market, examining their valuation metrics. The Berkus Method provides a structured framework, assigning values to key elements like the startup's prototype and management team. Precedent Transactions Analysis reviews previous acquisitions of comparable startups. While no single tool guarantees accuracy, combining these methods and adapting to the startup's unique characteristics enhances the valuation process for a more comprehensive and reliable assessment.

In my experience, the income approach is probably the least reliable and valued (and therefore least useful) of the valuation approaches with a startup, exactly because the enterprise is a startup and so it’s quite difficult to project with any high degree of confidence what the future revenues and profits will actually be. Founders tend to be overly optimistic about the inputs - which is not a necessarily a bad thing from at least one perspective, because investors want the founders to believe in the company and in themselves, but it can lead to unreliable and overly optimistic DCF results without some realistic tempering of these inputs.

The sensitivity of the inbound assumptions of these models means that, unless the logic and reasoning behind the assumption can be understood and verified, founders can utilise these figures to report ridiculous self-valuations, particularly in pre-revenue and pre-profit states. This is definitely only recommended for mid-later-stage startups.

This approach is based on the startup's ability to generate future cash flows. It's often used for startups with a proven business model and revenue streams.

Begin with a basic DCF model and gradually add complexity as needed. Don't overestimate future growth or underestimate expenses. Focus on defensible assumptions. Clearly document your discount rate selection, terminal value methodology, and key assumptions. he DCF is a way to tell a story about your company's future potential. Make sure it's a compelling and believable narrative. Clearly communicate the risks and uncertainties associated with your projections. Be prepared to discuss alternative scenarios and how they might impact your valuation.

The income approach values startups by forecasting future cash flows and discounting them to present value, considering risk with a discount rate like WACC. It's beneficial for startups with clear models or high growth potential but relies heavily on projections and is sensitive to changes in the discount rate. However, it may not suit pre-revenue or unprofitable startups due to its reliance on income forecasts.

The scorecard approach evaluates the value of a startup based on various qualitative and quantitative factors such as the team's experience, market opportunity, product differentiation, and traction. This approach involves assigning scores to different factors and applying weights to calculate an overall valuation. The scorecard approach is useful for early-stage startups with limited financial data but strong potential.

Also known as the Bill Payne valuation method, this approach compares the startup to other startups with known valuations, adjusting for factors such as management, product, market size, and competition.

The scorecard approach is a valuation method specifically designed for startups. It combines elements of both the market approach and the income approach, adjusting them with various factors that impact the startup's attractiveness. Here's a more detailed explanation of the scorecard approach: Comparison to Comparable Startups: The process begins by identifying comparable startups in the same stage and industry. Factors for Adjustment: Various factors that affect the startup's attractiveness and potential for success are assessed. Percentage Adjustment: The average pre-money valuation of the comparable startups is then considered as a baseline.

Select factors most relevant to your industry and stage. Include unique strengths not captured by standard factors. Assign higher weights to more critical factors for your business model. Supplement scores with a compelling story highlighting your strengths and potential. Ensure chosen factors truly measure your company's value drivers. Don't blindly rely on the final score; consider broader market context and investor sentiment. Involve your team in selecting and scoring factors for diverse perspectives. Use the scorecard for internal goal setting and performance measurement.

The scorecard approach combines market and income methods for startup valuation, adjusting for factors like market size and team quality. It offers a tailored valuation by applying percentage adjustments to the average valuation of comparable startups. While useful for startups with traction but insufficient data for traditional methods, it's subjective and relies on potentially outdated data.

Explicitly state your assumptions for volatility, risk-free rate, and time to exit. Compare your results with alternative valuation methods and expert opinions. Acknowledge the inherent subjectivity and limitations of the option approach. Don't Overhype: Avoid using the option approach solely to inflate your valuation without a strong justification.

This method is used for startups with high levels of uncertainty and treats the valuation like an option, considering the potential for significant future value.

Be transparent about assumptions regarding volatility, risk-free rate, and time to exit. Compare results with other valuation methods and seek expert opinions. Recognize the subjectivity and limitations of the option approach. Avoid using it solely to inflate valuation without strong justification.

For me, 𝘁𝗵𝗲 𝗯𝗲𝘀𝘁 𝘁𝗼𝗼𝗹 𝗶𝘀 𝘁𝗵𝗲 𝗼𝗻𝗲 𝘆𝗼𝘂𝗿 𝗶𝗻𝘃𝗲𝘀𝘁𝗼𝗿 𝗯𝗲𝗹𝗶𝗲𝘃𝗲𝘀 𝗶𝗻. Particularly for startups, valuations are very imprecise and sensitive to assumptions. So, 𝘁𝗵𝗲 𝘃𝗮𝗹𝘂𝗮𝘁𝗶𝗼𝗻 𝗶𝘀 𝗮 𝗿𝗲𝗳𝗲𝗿𝗲𝗻𝗰𝗲 𝗳𝗼𝗿 𝘁𝗵𝗲 𝗺𝗼𝗺𝗲𝗻𝘁 𝘁𝗵𝗲 𝗻𝗼𝗴𝗼𝘁𝗶𝗮𝘁𝗶𝗼𝗻𝘀 𝘀𝘁𝗮𝗿𝘁. The goal is to find some common ground to discuss. A good alignment of assumptions, criteria, and strategic alternatives for the company is a great way to start a relationship of transparency and trust with your investors. The best part of it all: it will be really useful in finding the 𝗿𝗶𝗴𝗵𝘁 𝗶𝗻𝘃𝗲𝘀𝘁𝗼𝗿 𝘁𝗼 𝗯𝗲 𝘆𝗼𝘂𝗿 𝗽𝗮𝗿𝘁𝗻𝗲𝗿 𝗶𝗻 𝘁𝗵𝗲 𝗷𝗼𝘂𝗿𝗻𝗲𝘆 !!

Probability Weighted Expected Return Method (PWERM) is a valuation method that incorporates probability-weighted scenarios to estimate the expected return on investment for different outcomes. This approach considers multiple scenarios, such as best-case, base-case, and worst-case scenarios, and assigns probabilities to each outcome to derive a weighted average valuation. In valuing a biotech startup with promising drug candidates, I applied the PWERM to assess the potential returns under various regulatory approval scenarios. By assigning probabilities to different outcomes, we quantified the expected return on investment and adjusted the startup's valuation accordingly.

Ultimately, the value is whatever the investor is willing to pay and you are willing to accept. Figure out what capital you need and how much dilution you're willing to accept and work from there. It's not an exact science and most methods can be manipulated to reach a desired figure, the important part is finding someone who agrees with you.

Berkus Method: Applicable to pre-revenue startups, this method assesses valuation based on qualitative factors such as the team, product, market, and business model. Risk Factor Summation Method: This involves adjusting a baseline valuation by adding or subtracting value based on an assessment of risk factors such as management, market, competition, and technology. Cost-to-Duplicate Approach: This method calculates how much it would cost to replicate the startup's technology or product from scratch. Comparable Transactions Method: Similar to the market approach, this method looks at the sale prices of similar companies in recent transactions.

Here are some Startup Valuation Methods 1. Berkus Method 2. Revenue Multiplier 3. Scorecard Method 4. Accelerator Equivalent 5. Antler Table