Module 5: Fundamental Analysis and Tokenomics
Valuation Frameworks
Chapter 8 of 15 · about 6 minutes
8.1 What's it actually worth?
Mint had gathered a lot of information about a lending protocol token: supply schedule, distribution, unlocks, value accrual, revenue. But one question remained.
"I know a lot about it now," said Mint. "But is $300 million a fair price or not?"
"There's no single right answer," said Hash. "But there are several ways to approach it. Each gives you a different lens. When several lenses point the same way, you can be more confident. When they disagree, that's a warning to be careful."
This chapter covers four approaches: relative valuation, cash flow valuation, network-based models, and store-of-value comparisons.
8.2 Relative valuation
The simplest approach compares a token with similar projects, using the ratios from Chapter 7.
Here are three fictional lending protocols:
| Lending A | Lending B | Lending C | |
|---|---|---|---|
| Market cap | $1,200 million | $400 million | $150 million |
| Annual protocol revenue | $60 million | $8 million | $12 million |
| Price to sales (P/S) | 20x | 50x | 12.5x |
| Revenue growth over the past year | +25% | +80% | −10% |
| Share of revenue to token holders | 50% | 0% | 30% |
At first glance, Lending C looks cheapest at 12.5x, and Lending B looks most expensive at 50x. But the other rows change the picture. Lending B is growing fast, which can justify a higher multiple, but none of its revenue reaches holders. Lending C is cheap, but shrinking. Lending A is in between, with strong value accrual.
"So cheap isn't always good, and expensive isn't always bad," said Mint.
"Right," said Hash. "Relative valuation tells you how the market prices things compared to each other. Then you have to judge whether those differences make sense."
Strengths: quick, intuitive, and based on real market prices.
Weaknesses: if the whole sector is overvalued, comparing within it won't reveal that. And no two protocols are truly identical.
8.3 Cash flow valuation
For tokens that pass real cash flows to holders, you can borrow a method from stock analysis: the discounted cash flow (DCF) model. It estimates the value today of all the cash a token will produce for holders in future.
The idea: money in the future is worth less than money today, because of risk and time. So future cash flows are discounted back to today's value using a discount rate. The riskier the investment, the higher the discount rate. For crypto, discount rates are typically set much higher than for established companies, often 20% or more, reflecting higher uncertainty.
A simplified example. A protocol currently sends $10 million a year to token holders. Assume:
- Holder revenue grows 30% a year for three years, then 5% a year.
- Discount rate of 25%.
- After year 5, growth continues at 5% forever.
| Year | Holder revenue | Discounted to today's value |
|---|---|---|
| 1 | $13.0 million | $10.4 million |
| 2 | $16.9 million | $10.8 million |
| 3 | $22.0 million | $11.2 million |
| 4 | $23.1 million | $9.4 million |
| 5 | $24.2 million | $7.9 million |
| Years 1 to 5 total | $49.9 million | |
| Value of all years after 5, discounted to today | $41.7 million | |
| Estimated value | ~$91.5 million |
If this token's market cap is $300 million, the model suggests the market is pricing in much faster growth, a lower discount rate, or something beyond cash flows, such as governance value or speculation.
Strengths: forces you to make assumptions explicit, and links value to actual cash.
Weaknesses: extremely sensitive to assumptions. Change the growth rate or discount rate slightly, and the answer changes dramatically. Only works for tokens with real, measurable cash flows to holders.
Node, the stock investor, nodded. "Same weakness as in stocks. Garbage in, garbage out."
"Even more so in crypto," said Hash. "But the exercise is valuable. Writing down what you'd need to believe to justify the current price is often more useful than the final number."
8.4 Network-based models
For networks like Bitcoin and Ethereum, analysts have used models based on network activity.
Metcalfe's law suggests a network's value grows with the square of its number of users, because each new user can connect with every existing user. Some analysts have compared crypto network values with active addresses using this idea. It's an interesting lens, but active addresses are an imperfect measure of users, and the relationship is loose.
Network value to transactions (NVT) is sometimes called crypto's P/E ratio. It divides network value (market cap) by the value of transactions on the network over a period. A high NVT suggests the network is valued highly relative to how much it's being used for transfers. A low NVT suggests the opposite. It's best used to compare a network with its own history.
These models are rough guides. They don't account for every reason people hold a token, such as as a store of value or collateral.
8.5 Store-of-value comparisons
Bitcoin is often valued not on cash flows, since it has none, but as a potential store of value, compared with gold.
Here's how that comparison works, using an illustrative figure for gold's total market value.
| Scenario | Bitcoin's value as a share of gold's ($25 trillion, illustrative) | Implied value per bitcoin (more than 20 million coins) |
|---|---|---|
| 10% of gold | $2.5 trillion | ~$125,000 |
| 25% of gold | $6.25 trillion | ~$312,500 |
| 50% of gold | $12.5 trillion | ~$625,000 |
These aren't predictions. They're a way of framing the question: what share of the world's store-of-value demand might Bitcoin capture? People's answers to that question differ enormously, which is one reason Bitcoin's price is so volatile.
"So the valuation depends on a belief about the future that nobody can prove," said Node.
"Yes," said Hash. "Which is true of every valuation. It's just more obvious here."
8.6 Scenario analysis
Because every valuation method depends on uncertain assumptions, many analysts use scenario analysis: estimating value under bear, base, and bull cases.
| Scenario | Key assumptions | Estimated value |
|---|---|---|
| Bear | Revenue shrinks, incentives stay high, unlocks pressure supply | Lower value |
| Base | Moderate growth, gradual reduction in incentives | Middle value |
| Bull | Strong growth, fee switch turned on, broad adoption | Higher value |
Then compare the current price with the range. If the price is above even your bull case, the market is more optimistic than your most optimistic assumptions. If it's below your bear case, it may be worth a deeper look.
8.7 Margin of safety
Because valuations are uncertain, cautious investors look for a margin of safety: buying only when the price is meaningfully below their estimated value, to allow for errors in their assumptions. In crypto, where uncertainty is high, a large margin of safety makes sense.
8.8 Try it yourself
Choose three tokens in the same sector. Build a comparison table like the one in section 8.2, including market cap, annual protocol revenue, P/S, revenue growth, and share of revenue to holders. Which looks cheapest? Which looks most justified? Then, for the one with real holder cash flows, write down what growth and discount rate you'd need to assume to justify its current market cap.
Key takeaways from this chapter
- No single valuation method gives the right answer. Use several lenses and look for agreement.
- Relative valuation compares similar tokens using ratios, but can't detect sector-wide overvaluation.
- Discounted cash flow valuation works for tokens with real holder cash flows but is very sensitive to assumptions.
- Crypto warrants high discount rates because of its uncertainty.
- Network models like Metcalfe's law and NVT are rough guides, best used for comparison over time.
- Store-of-value comparisons frame Bitcoin's value as a share of gold's, as scenarios, not predictions.
- Scenario analysis and a margin of safety help manage uncertainty.