A crypto token can carry a $10 billion fully diluted valuation even when only a fraction of its supply is trading. The number looks like a company valuation, but the economics behind it are very different, and the tokens waiting to enter circulation can change the picture entirely.
Imagine a token trading at $10.
A few months earlier, the project launched with considerable attention. Its technology promised to improve blockchain infrastructure, developers were building applications around it, and investors were discussing its long-term potential.
Now a market-data dashboard displays a striking figure: $10 billion in fully diluted valuation, or FDV.
For a relatively young crypto project, that sounds enormous.
It invites comparisons with established technology companies. Commentators might describe the project as being worth $10 billion, while investors debate whether that valuation can be justified by its adoption, revenue, or growth prospects.
But there is a problem with that interpretation.
Suppose only 100 million of the project’s one billion tokens are circulating. The remaining supply is reserved for investors, contributors, ecosystem incentives, and other allocations scheduled for release over time.
At $10 per token, its circulating market capitalization is $1 billion.
The $10 billion FDV comes from applying the same price to all one billion tokens, including those that are not yet freely circulating.
Nobody needed to purchase the entire supply at $10 for that calculation to appear.
The market priced the tokens available for trading. The dashboard extended that price to a much larger supply.
This feature is what makes FDV both useful and potentially misleading.
It exposes the scale of a token’s future supply obligations, but it does not establish that the underlying project has the same financial value as a corporation with an equivalent equity valuation.
Nor does it tell investors whether the token’s market could absorb additional supply at the quoted price.
To understand what FDV actually measures, it is necessary to examine three things the headline number compresses into one figure: the supply being valued, the market that establishes the price, and the economic rights attached to the token.
The $10 Billion Valuation That Nobody Had to Pay
Fully diluted valuation begins with a simple calculation.
Take the market price of one token and multiply it by the supply assumed to exist under the fully diluted scenario.
Under CoinGecko’s definition of FDV, the calculation estimates a token’s theoretical market capitalization if its entire relevant supply were circulating at the current market price.
For tokens with fixed maximum supplies, that usually means multiplying price by maximum supply.
However, data providers do not always use identical conventions.
Some calculations reference total supply, while others use maximum supply. Those figures can differ when future issuance remains possible, tokens have been burned, or a fixed maximum has not been established.
CoinMarketCap’s September 2026 supply methodology explicitly distinguishes circulating market capitalization, unlocked market capitalization, minted market capitalization, and FDV.
This matters because a token’s supply is not necessarily a single number.
Circulating supply generally attempts to measure tokens available in the public market under the provider’s methodology.
Total supply describes tokens already issued or minted, excluding verifiably burned tokens.
Maximum supply represents the projected upper limit of tokens that may exist, where such a limit can be meaningfully defined.
Consider the hypothetical project introduced earlier.
| Measurement | Amount |
|---|---|
| Token market price | $10 |
| Circulating supply | 100 million |
| Maximum supply | 1 billion |
| Circulating market capitalization | $1 billion |
| Fully diluted valuation | $10 billion |
| Circulating share of maximum supply | 10% |
Ravel’s hypothetical valuation model. Assumes a fixed maximum supply and a market-data provider that classifies all 100 million tradable tokens as circulating.
The circulating market capitalization is:
100 million × $10 = $1 billion.
The FDV is:
1 billion × $10 = $10 billion.
The difference is $9 billion.
It would be incorrect to describe that difference as money already invested in the project, cash held by its treasury, or capital waiting to enter the market.
It is the marked value of the additional supply under the assumption that each future token could be valued at the same price.
That assumption is the weak point.
The Last Traded Price Cannot Value Every Token as Cash
Suppose a buyer purchases 100 tokens at $10 each.
The transaction establishes a market price around $10, subject to the exchange’s pricing mechanism and available liquidity.
A valuation model can then apply that price to one billion tokens.
But the buyer spent only $1,000.
The transaction does not prove that enough buyers exist to purchase one billion tokens at the same price.
This is not a problem unique to cryptocurrencies. Public companies also have market capitalizations calculated from marginal share prices.
A company’s market capitalization does not mean all shareholders could simultaneously sell their shares at the quoted price.
The crucial distinction is what the market capitalization represents.
For a corporation, ordinary shares generally represent legal ownership interests in a business.
For a crypto token, the associated rights may be governance participation, access to services, staking functionality, exposure to a token-burning mechanism, or something else entirely.
FDV extends a marginal market price across a token supply. It does not establish the cash value of that supply if everyone attempted to sell it.
That makes FDV an accounting-style valuation reference, not a statement about the amount of money committed to the project.
A Token Allocation Isn’t the Same as Publicly Owned Capital
The next complication is hidden inside token distribution schedules.
When a project announces a one-billion-token supply, those tokens may be distributed among parties with very different objectives and restrictions.
Some belong to public investors.
Others are reserved for teams, early backers, ecosystem development, foundations, or governance-controlled treasuries.
A substantial portion might not be transferable for months or years.
Applying a single market price across all those allocations produces an easily understood FDV. But the resulting number conceals important differences in ownership, accessibility, and potential selling behavior.
Arbitrum’s original token distribution provides a useful example.
The Arbitrum DAO’s official distribution documentation records the allocation of its initial 10 billion ARB tokens following governance proposals AIP-1.1 and AIP-1.2.
Among the largest allocations were 35.28% for the DAO treasury, 26.94% for team members, contributors, and advisers, 17.53% for investors, and 11.62% for users receiving the airdrop.
These figures are historical allocation data rather than current circulating balances.
They nevertheless illustrate how differently a token’s nominal supply can be held.
The Tokens Reserved for Everyone Aren’t Necessarily Available to Anyone
Consider the DAO treasury allocation.
Those tokens are not equivalent to unrestricted tokens deposited in every investor’s personal exchange account.
They exist to support activities subject to governance and other applicable arrangements.
Their eventual use might involve grants, development funding, incentives, or strategic initiatives.
Those activities can be economically productive.
But it would be misleading to assume that the entire treasury allocation represents freely tradable supply or that its current quoted value can be converted into cash without market impact.
Team and investor allocations introduce another distinction.
Arbitrum’s original distribution established multiyear vesting arrangements, with the first scheduled unlocks for team and investor allocations beginning in March 2024, followed by monthly releases.
Its official circulating-supply documentation separately explains how scheduled unlocks influence the reported circulating supply.
The important detail is that vesting affects when a token becomes available under a particular arrangement.
It does not necessarily determine when its holder sells.
An investor whose tokens become transferable might continue holding them.
A foundation might deploy newly accessible tokens gradually.
A contributor might transfer an allocation to a custodian without selling it.
And a governance treasury might hold unlocked tokens for years.
An unlocked token is not automatically a token sold. A token included in the maximum supply is not automatically a token available for purchase today.
These distinctions can have significant consequences for how investors interpret FDV.
A project with a large proportion of tokens reserved for future distribution carries potential changes in market supply that may not be visible from its current circulating market capitalization alone.
But the relevant risk depends on the release schedule, ownership concentration, incentives, and liquidity conditions.
The percentage of supply that remains outside public circulation is an important starting point.
It is not a complete forecast of future selling pressure.
The Unlock Paradox: Market Cap Can Rise While the Token Falls
Imagine that the hypothetical $10 token approaches a major unlock.
The project originally had 100 million circulating tokens and a maximum supply of one billion.
Now another 100 million previously locked tokens become available.
For this scenario, assume that all newly unlocked tokens qualify as circulating under the chosen data methodology.
That assumption is important because market-data providers do not universally treat every unlocked allocation as part of public float.
Suppose the token’s market price subsequently declines from $10 to $6.
There could be many reasons for the decline, including changes in demand, market conditions, or expectations surrounding the release.
The model does not assume that the unlock alone caused the price movement.
What happens to the valuation figures?
Before the unlock, the circulating market capitalization was $1 billion.
After the unlock, 200 million circulating tokens valued at $6 each produce a circulating market capitalization of $1.2 billion.
The token price has fallen 40%, but its circulating market capitalization has increased 20%.
Meanwhile, FDV falls from $10 billion to $6 billion because the assumed maximum supply remains one billion tokens.
| Measurement | Before | After |
|---|---|---|
| Token price | $10 | $6 |
| Circulating supply | 100M | 200M |
| Maximum supply | 1B | 1B |
| Circulating market cap | $1B | $1.2B |
| FDV | $10B | $6B |
| FDV / circulating market cap | 10× | 5× |
Ravel’s original scenario calculation. The post-unlock $6 price is an independent assumption, not a prediction or estimated price impact.
The result reveals why token valuation metrics can move in apparently contradictory directions.
An increase in circulating market capitalization does not necessarily mean existing investors have gained wealth.
The circulating supply can expand enough to offset a decline in price.
A person who owned 1,000 tokens before the event would see the quoted value of that unchanged holding fall from $10,000 to $6,000.
Yet the circulating market capitalization would show an increase.
Both figures are mathematically correct.
They answer different questions.
One measures the market value of the tokens classified as circulating.
The other reflects the price applied to the total number of tokens held by an individual.
FDV introduces a third perspective by applying that market price to the full assumed supply.
A token can become less expensive, its circulating market capitalization can grow, and its FDV can shrink—all at the same time.
Why Unlocks Matter Without Guaranteeing a Price Collapse
Scheduled token releases can alter supply conditions.
But there is no mechanical rule stating that releasing 10% more tokens must reduce the market price by 10%.
The result depends on several factors.
Holders might sell only a small portion of their unlocked allocations. Other investors may have anticipated the event well in advance and adjusted their positions.
The project might have new sources of demand, while broader market conditions may support higher prices.
Some unlocks may simply change transferability without substantially changing the amount being offered for sale.
Conversely, concentrated selling can place considerable pressure on a market even when the unlocked allocation represents a relatively small percentage of total supply.
The schedule alone therefore cannot establish the outcome.
The more useful analysis combines the unlock calendar with the holders receiving tokens, their likely financing needs, historical behavior, and the liquidity available to absorb potential sales.
A large scheduled unlock is an exposure worth investigating.
It is not a guaranteed bearish event.
The Missing Variable in FDV Is How Much the Market Can Actually Buy
Let’s return to the hypothetical token that has a $10 billion FDV.
Its market price is $10, and the maximum supply is one billion tokens.
Now assume that the aggregated order books across a defined set of exchanges contain $5 million in visible buy orders within 1% of the current market price.
This is a simplified market-depth snapshot, not observed liquidity data for a real token.
Suppose 100 million tokens are scheduled to unlock.
At the quoted market price, their nominal value would be:
100 million × $10 = $1 billion.
Compare that amount with the hypothetical $5 million in near-market buy orders.
Nominal unlock value / visible 1% bid depth = $1 billion / $5 million = 200×.
The unlock’s marked value is 200 times the immediately displayed buying interest within that price band.
That comparison is revealing, but it must be interpreted carefully.
It does not mean that all 100 million tokens will be sold.
It does not mean $5 million is the maximum amount the market could absorb over a week or month.
And it certainly does not mean the price must fall by any predetermined percentage.
Market makers can replenish orders, new buyers can enter, holders can sell gradually, and large transactions can occur outside ordinary exchange order books.
Nevertheless, it demonstrates why FDV alone says little about the market’s ability to absorb supply.
Trading Volume Is Not the Same as Buying Capacity
A token may report hundreds of millions of dollars in daily trading volume.
That does not mean investors could immediately sell an equivalent amount without moving its price.
Trading volume records completed activity over a period.
Market depth describes the standing buy and sell interest within specified price ranges at particular moments.
Slippage reflects the difference between expected and actual execution prices.
In its research on liquidity and large sell orders, Kaiko explains why these measures need to be examined together when assessing the market impact of significant asset sales.
For an unlock analysis, this distinction is crucial.
Imagine a token trading $200 million daily, but displaying only $5 million in bids within 1% of its current price at the observed moment.
The daily volume might reflect the same capital repeatedly changing hands.
It does not represent a standing $200 million commitment to purchase newly released tokens at current prices.
Nor can a snapshot of bid depth establish how much demand will become available over the entire unlock period.
That requires examining liquidity across venues, different price bands, time intervals, and trading conditions.
Ravel’s Unlock-to-Liquidity Test
A practical screening measure is to compare the marked value of a scheduled unlock against observable market depth.
For the hypothetical token, the inputs are:
| Liquidity assessment | Value |
|---|---|
| Unlock amount | 100M tokens |
| Current token price | $10 |
| Nominal unlock value | $1B |
| Visible bids within 1% | $5M |
| Unlock-to-visible-bid-depth ratio | 200× |
Ravel’s hypothetical liquidity test. The ratio is a stress-screening reference, not an estimated sell-through rate, realized price impact, or forecast.
The test deliberately measures a mismatch between a potential source of token supply and visible immediate buying interest.
It cannot determine what proportion of the unlocked allocation will actually reach exchanges.
It also cannot substitute for properly modeled execution costs.
But it provides a more grounded starting point than looking only at FDV and assuming all tokens could command the same price.
A high FDV can coexist with a thin order book.
The market’s quoted valuation may be enormous even when comparatively little liquidity supports near-term trading.
The question is not how much the entire token supply is worth on paper. It is how much demand exists at prices close to the one being used to value that supply.
FDV Is Not a Company Valuation, and the Token’s Rights Explain Why
The most consequential mistake occurs when investors compare a token’s FDV directly with the valuation of a company.
They may see a crypto project’s $10 billion FDV alongside the $10 billion equity valuation of a technology business and assume the two represent comparable claims on economic value.
They do not necessarily.
The distinction begins with what ownership means.
According to the US Securities and Exchange Commission’s Investor.gov explanation of stocks, corporate shares represent equity ownership and a proportional claim on a company’s assets and profits, subject to the rights and limitations of the particular shares.
A token can represent something very different.
Its holders might possess voting rights over protocol parameters or treasury decisions.
They may receive staking rewards, access to applications, or benefits related to network fees.
Some tokens include mechanisms that redistribute value through buybacks, burning, or other arrangements.
Others provide limited economic rights beyond governance or utility.
No general rule makes a token equivalent to an equity stake in the company that originally developed its ecosystem.
Uniswap Shows Why Token Value Capture Must Be Examined Separately
Uniswap offers a useful historical example because its token design has evolved.
When UNI launched in September 2020, the project’s original token announcement described a one-billion-token genesis allocation spread across community members, the team, investors, and advisers.
The announcement also established governance as a central purpose of the token.
At launch, the community treasury received approximately 43% of the Genesis supply, while another 15% became available through the historical user airdrop. Team and investor allocations followed multiyear vesting arrangements.
The token’s economic design did not remain static.
In December 2025, Uniswap governance approved the UNIfication initiative, activating protocol fees and a mechanism connecting certain protocol-generated fees to UNI burning.
Under the updated official UNI token documentation, fee-collection arrangements can convert protocol fees into UNI that is permanently burned.
The mechanism establishes a way for protocol activity to affect token supply.
But burning tokens is not equivalent to paying every tokenholder a cash dividend.
The documentation explicitly distinguishes governance rights and the burn mechanism from an individual, proportional claim on protocol revenue.
That difference is relevant for valuation.
An equity investor examining a corporation may evaluate earnings, cash flow, assets, and rights to residual value.
An investor examining UNI must consider governance arrangements, token supply, the actual operation of its fee-and-burn mechanism, and the economic effects on tokenholders.
Even if the protocol generates substantial trading activity, that does not automatically mean every dollar paid by traders becomes value belonging to UNI holders.
Fees can be distributed to liquidity providers, retained or redirected under governance arrangements, or used in mechanisms with different economic consequences.
A token may derive value from expectations about future utility, scarcity, governance influence, or demand generated by protocol activity.
But those expectations are not equivalent to ownership of a company’s assets.
The size of the ecosystem is not necessarily the size of the economic claim represented by its token.
The same distinction applies when examining ARB.
The Arbitrum token was established to support governance of the Arbitrum ecosystem and its associated protocols.
That governance role is economically and institutionally meaningful.
It does not, by itself, make ARB equivalent to ordinary equity in an operating company.
Treating governance rights as a direct claim on corporate earnings would misrepresent what the token is designed to do.
This is why FDV cannot replace an assessment of tokenholder rights.
Two tokens displaying identical FDVs may expose holders to fundamentally different economic relationships.
One might have a functioning mechanism connecting protocol revenue to token supply.
Another might primarily provide governance influence.
A third could be needed to pay network fees or secure a blockchain.
A fourth could involve enforceable financial rights established through a different legal structure.
The dollar figures alone reveal none of those distinctions.
What FDV Can Tell Investors and What It Cannot
FDV is not useless.
It is especially valuable when examining dilution and comparing token supply structures.
If two tokens have similar circulating market capitalizations but radically different FDVs, that difference deserves attention.
One may have a substantially larger proportion of its supply scheduled for future circulation.
But FDV should be read alongside several other measurements.
Circulating market capitalization establishes the marked value of the supply classified as circulating.
FDV-to-market-cap ratio reveals how much larger the fully diluted supply assumption is relative to the circulating denominator.
Unlock schedules identify when restricted allocations may become available.
Market depth provides evidence about near-term trading liquidity.
Token value capture explains whether protocol activity creates a measurable economic benefit for the token and identifies the mechanism through which this occurs.
Together, these measurements can expose risks that a standalone valuation number conceals.
They still do not establish a definitive fair value.
That requires expectations about future demand, utility, economic rights, risks, and market conditions.
But they help prevent a fundamental category error: treating a token’s implied supply-wide market value as if it were automatically equivalent to a company’s equity value.
The Valuation Is Real as a Calculation, Not Necessarily as an Economic Claim
A token’s fully diluted valuation can be calculated precisely from an assumed supply and a market price.
There is nothing inherently deceptive about the arithmetic.
The problem is what happens when the result is treated as a complete economic statement.
A $10 billion FDV does not mean investors deposited $10 billion into the project.
It does not establish that the project’s treasury holds assets worth that amount.
It does not prove that all outstanding and future tokens can be liquidated at the market price used in the calculation.
And it does not tell holders whether they own a claim on corporate profits, governance authority, network utility, or a token whose economics depend on future changes.
The distinction matters most when a large proportion of supply remains outside ordinary public circulation.
Under those circumstances, a market that trades only a fraction of the units eventually expected to exist may establish the quoted price.
Scheduled unlocks can change the supply available for trading. Market demand might not expand sufficiently to absorb it.
The resulting price is not determined by the unlock schedule alone.
And even if the token maintains its market value, that stability says little about what economic rights its holders possess.
A serious valuation assessment must therefore move beyond multiplying the last traded price by a supply estimate.
It must identify which tokens exist, which are circulating, who controls future allocations, what liquidity supports the price, and how value generated by the ecosystem reaches the asset being valued.
Only then can FDV serve its intended purpose: helping investors understand the scale and implications of a token’s supply structure.
FDV tells you what the entire token supply would be marked at today’s price. It does not tell you whether the market would pay that price for the supply or what owning those tokens actually entitles you to.
