STARTUP • BUSINESS VALUATION The Chartered Accountant • January 2023 • Vol. 71 • pp. 41–46 (Journal pp. 753–758)

The ABC of valuing startups

VP
CA. Vijaykumar Puri
Author is member of the Institute • Contact: vkrpuri@gmail.com / eboard@icai.in

The New Paradigm: Profitability is No Longer the Core Value Driver

The traditional approaches to valuation are inadequate for the valuation of new-age startups. The business model has undergone a fundamental transformation in the 21st century. Profitability is no longer a key value driver for new-age startups. Listed tech entities like Paytm openly submit that profitability is not their goal in the foreseeable future.

By its very nature, valuation is highly subjective—like the world-famous Mona Lisa painting, worth billions to some and considered average by others. In startups, where historical financials do not exist, a good valuer understands that actual value lies less in the numbers and more in the story of the startup.

1. The Three Traditional Valuation Approaches & Why They Fail for Startups

Traditional methods pre-suppose an established, profitable business with tangible assets, established competitors, and predictable cash flows. Startups, by definition, disrupt industries and burn cash on customer acquisition.

Method Traditional Description Why It Fails for New-Age Startups
Income Approach (DCF) Discounted Cash Flow method: estimated future cash flows discounted to present value. A vast majority of startups operate under the premise of negative cash flows in the foreseeable future. Since there are minimal/no positive cash flows, DCF cannot compute intrinsic value reliably.
Asset Approach Used during liquidation/distress: net realisable value of physical assets and liabilities. 1. Startups have negligible tangible assets; their value resides in intellectual property and code.
2. Startups are going concerns; their enterprise value cannot be reduced to today’s asset liquidation price.
Market Approach Assigns value based on trading/transaction multiples of listed comparable peers. Startups create novel, unproven markets without established listed competitors. Comps are other nascent peers with skewed metrics (though useful in later-stage growth rounds).
The Major Roadblock: Absence of Past Performance Indicators: Valuing a startup can be equated to “founders walking in the dark and making investors believe they are wearing night vision goggles.” The role of the professional valuer is to help investors navigate the dark using rigorous facts, rather than fairy tales.

2. The 7 Core Value Drivers for Startups

Since historical financial statements cannot guide valuation, professional valuers assess 7 critical qualitative and operational value drivers:

1. Product Readiness & Uniqueness:

A functional product or working MVP commands significantly higher valuation than a conceptual idea. Market validation and customer feedback are vital sub-drivers.

2. Management Team Pedigree:

Over half of Indian unicorn founders hail from IITs or IIMs. A balanced team combining software engineers, finance professionals, and MBA graduates commands premium pricing.

3. Quantifiable Traction:

Empirical evidence that customer demand exists (active user growth, engagement retention, cohort progression). The stronger the traction, the higher the valuation.

4. Revenue Streams:

While profitability is not mandatory, tangible top-line monetization provides concrete proof of customer willingness to pay beyond vanity usage metrics.

5. Industry Attractiveness:

Macro tailwinds, TAM (Total Addressable Market), supply chain scalability, and regulatory stability. (e.g. tourism tech depressed during pandemic lockdowns).

6. Demand - Supply Dynamics:

When an industry enjoys immense venture capital attention and high dry powder, fierce investor competition elevates individual startup valuations.

7. Competitiveness & Moat:

First-mover advantage vs. fast followers. While existing global models ease validation (e.g. Ola pitching Uber’s model), startups must demonstrate sustainable differentiation.

Note on Unicorn Terminology: “Unicorn” was coined in 2013 by venture capitalist Aileen Lee (founder of Cowboy Ventures, Palo Alto) to designate privately held startups valued at over $1 Billion.

3. Six Innovative Startup Valuation Methods

1. The Berkus Approach

Developed by Dave Berkus (Angel Investor & VC)

Assigns up to $500,000 across 5 quantitative success factors: (1) Sound basic value/idea, (2) Functional prototype/tech, (3) Quality management execution, (4) Strategic core relationships, (5) Production rollout and sales.

Caps: Pre-revenue capped at $2 Million; Post-revenue capped at $2.5 Million.

2. Cost-to-Duplicate Approach

Historical Replacement Costing

Calculates all historical expenses incurred to build the product, software architecture, and physical assets from scratch.

Limitation: Heavily criticised for ignoring future revenue potential, market size, and intangible moats.

3. Comparable Transactions Method

Precedent M&A Multiples

Uses unit multiples from comparable acquisition deals. E.g., if XYZ Ltd. is acquired for Rs 560 Crores with 24 Crore active users (Rs 23.33/user), target ABC Ltd. with 1.75 Crore users is valued at ~Rs 40 Crores, adjusted for proprietary tech and geography.

4. Scorecard Valuation Method

Bill Payne Method (Pre-Revenue)

Adjusts average sector pre-money valuations by weighting key factors: Team Strength (0–30%), Market Opportunity (0–25%), Product/Service (0–15%), Competition (0–10%), Marketing/Channels (0–10%), Investment Need (0–5%), Others (0–5%). Weighted comparison factors are multiplied against the benchmark.

5. First Chicago Method

Scenario-Based Hybrid (DCF + Multiples)

Constructs three distinct operating scenarios—Worst-Case, Normal-Case, and Best-Case. Cash flows and terminal values are computed for each and weighted by probability factors to establish an expected intrinsic value.

6. Venture Capital (VC) Method

Target Multiple & Hurdle Rate Back-Solving

Back-solves from expected terminal exit valuation at a future date (e.g. 5–7 years). Discounts terminal value by the VC’s targeted multiple of money (e.g. 10x, 20x, 30x) or required IRR to determine current post-money valuation.

4. Rising Above Numbers: Narrative & Numbers (Aswath Damodaran Framework)

“If all you have are numbers on a spreadsheet, you don’t have valuation. You just have a collection of numbers.”
— Professor Aswath Damodaran (Stern School of Business, NYU)

The Rolex Valuation Case Study: Numbers vs. Story vs. The Synthesis

Scenario 1: Pure Numbers

Earnings grow at 9.5% for 8 years, then drop to GDP rate; Operating Margin is 43%; Net Margin is 16%; generates Rs 2.54 per rupee invested. Result: Cold figures that fail to inspire conviction.

Scenario 2: Pure Story

Rolex manufactures luxury watches charging astronomical prices and generating vast margins due to scarcity among the ultra-wealthy. Result: Exciting narrative, but impossible to price.

Scenario 3: Narrative-Tied Numbers (The Synthesis)

Because Rolex strictly limits supply to maintain exclusivity, revenue grows at a modest 9.5% for 5 years. That very exclusivity sustains a 43% operating margin insulated from economic recessions. Result: The true hallmark of sound valuation.

Prof. Aswath Damodaran’s 5-Step Process for Integrating Story into Numbers:

Step 1:
Develop a Narrative for the Business Being Valued:

Construct a clear, logical story about how the business model evolves, expands, and monetizes over time.

Step 2:
Test the Narrative: Possible, Plausible, and Probable:

Many narratives are possible; only a fraction are plausible; and very few are truly probable. Filter out corporate fiction.

Step 3:
Convert the Narrative into Drivers of Value:

Deconstruct the story into valuation inputs: potential market size, revenue growth rate, operating margins, reinvestment needs, and cost of capital.

Step 4:
Connect Value Drivers to a Valuation Model:

Build an intrinsic financial model linking these narrative-driven inputs into a definitive enterprise end-value.

Step 5:
Keep the Feedback Loop Open:

Actively solicit critical feedback from operators and industry specialists who know the market intimately, iteratively updating the narrative.

Conclusion: Valuation as a “Scientific Art”

Valuation is universally recognized as a blend of art and science. The author’s unique thesis is that valuation is a scientific art: an art constructed by the valuer, yet grounded in definite method within the madness. Its sanctity is preserved when every quantitative projection is anchored by rational operational facts.

Final Verdict: A sound startup valuation is an elegant cocktail of the narrative and the numbers, empowering investors and founders to navigate the uncertainty of the future.