Fully Diluted Valuation (FDV) is a financial metric used in the cryptocurrency market to project the total market capitalization of a coin or token if its entire maximum supply were in circulation at the current market price. It serves as a forward-looking indicator that helps investors assess the long-term valuation of a crypto-asset and understand its potential for future supply-based dilution. Unlike the standard market capitalization, which only accounts for tokens currently available to the public, FDV provides a theoretical representation of a project's maximum potential value. [1] [2]
Fully Diluted Valuation offers a comprehensive, long-term perspective on a crypto project's valuation by including all tokens that will ever exist. This includes tokens currently circulating, those that are locked in vesting schedules for team members or investors, tokens reserved for future rewards or ecosystem development, and any tokens that have yet to be mined or minted. The metric is founded on the principle of full dilution, providing a glimpse into how the market might value a project once its entire token supply is available. [1] [3]
The concept is analogous to "fully diluted shares" or "fully diluted market capitalization" in traditional equity markets. In stock market analysis, this calculation considers not only the outstanding shares available for public trading but also all potential shares that could be created from the exercise of stock options, warrants, and the conversion of convertible debt instruments. In both traditional finance and crypto, the purpose is to provide a complete picture of a company's or project's valuation by accounting for all potential sources of new equity or tokens that could dilute the value for existing holders. [3] [4]
The calculation for Fully Diluted Valuation is direct and relies on two primary data points: the current market price of the token and its maximum possible supply.
The formula to calculate FDV is as follows:
Fully Diluted Valuation = Current Token Price × Maximum Token Supply[1] [3]
For clarity, Maximum Supply is distinct from two other common supply metrics:
The relationship between these metrics is generally: Circulating Supply ≤ Total Supply ≤ Max Supply. [2]
FDV and Market Capitalization are two of the most fundamental valuation metrics in the crypto space, but they provide different insights by focusing on different time horizons and supply figures. Market Cap offers a snapshot of a project's present value, while FDV provides a hypothetical projection of its future value. [1]
A project's Market Cap will equal its FDV only when its entire maximum supply is in circulation. This is often the case for older, well-established cryptocurrencies like Bitcoin, where the majority of the supply has already been mined and entered the market. [3]
| Feature | Market Capitalization (Market Cap) | Fully Diluted Valuation (FDV) |
|---|---|---|
| Formula | Current Price × Circulating Supply | Current Price × Maximum Supply |
| Focus | Represents the current network value based on publicly available and tradable tokens. | Represents the hypothetical future network value if all possible tokens were issued. |
| Time Horizon | Short-to-medium term. | Long-term. |
| Supply Focus | Circulating Supply: Tokens actively traded and available to the public. | Maximum Supply: All tokens that will ever exist over the project's lifetime. |
| Primary Use Case | Gauging a project's current market size, liquidity, and ranking. | Assessing a project's ultimate size and the potential risk of future supply dilution. |
These differences are based on information synthesized from multiple sources. [2] [3] [4]
Investors and analysts utilize FDV as a crucial tool for fundamental analysis to gain deeper insights into a project's long-term viability and potential risks.
One of the primary uses of FDV is to identify the risk of future token supply inflation. A significant gap between a project's current Market Cap and its FDV indicates that a large percentage of its tokens are not yet in circulation. The eventual release of these tokens—often through vesting schedules for early investors and team members, mining/staking rewards, or airdrops—increases the circulating supply. If this increase in supply is not met with a proportional increase in demand, it can exert downward pressure on the token's price, thereby diluting the value for existing holders. FDV helps to quantify this forward-looking risk. [3] [4]
Many new crypto projects launch with a very small portion of their total supply in circulation, a strategy that results in a low initial market cap. This can make a project appear undervalued or attract speculative interest due to its perceived potential for high-multiple growth. However, this low market cap can be misleading. FDV provides a more sober and realistic valuation by calculating what the project would be "worth" at its current price if all tokens were available. This helps investors identify potentially overvalued assets masquerading behind a deceptively low market cap. [3]
FDV serves as a valuable metric for comparing different crypto projects on a more equivalent basis. When comparing a new project with a low circulating supply to an established one where most of the supply is already issued, a direct market cap comparison can be misleading. FDV normalizes the valuation by using the maximum supply for both, allowing for a better "apples-to-apples" assessment of their long-term valuation potential. [1] [2]
A useful derivative metric is the Market Cap to FDV ratio, which provides a quick indication of what proportion of a token's maximum supply is currently circulating.
Ratio = Market Cap / FDV
While a valuable tool, FDV has significant limitations and should not be used in isolation for making investment decisions.
To use FDV effectively, investors should integrate it into a broader analytical framework rather than relying on it as a standalone metric. A comprehensive approach includes:
Consider two hypothetical projects, Token A and Token B, both trading at a price of $1.00, to illustrate the practical application of FDV.
These examples highlight how FDV can reveal underlying risks not apparent from looking at market cap alone. [2] [3]