Validators process transactions and receive fees from users (supply-side fees).

Aptos is a smart contract platform for decentralized applications (a blockchain). Aptos was founded by Mo Shaikh and Avery Ching and launched in 2022.

APT token holders own and govern the protocol. They currently don’t take a cut of the total transaction fees paid by users (revenue). Aptos’ investors include Binance Labs, Jump Crypto, Apollo, etc.

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Blockchains (L1)

Aptos

# Aptos Revenue Methodology

## 1. Overview

The Aptos revenue metric represents the total fees collected by the Aptos network from user transactions, measured in USD. This metric answers the question "How much revenue does the Aptos blockchain generate from network fees?" The calculation follows a straightforward approach: extract all transaction fees paid in APT tokens, convert them to USD using market prices, and aggregate them daily. For Aptos, revenue directly equals network transaction fees, representing the primary value capture mechanism of the Layer 1 blockchain.

## 2. Data sources

The calculation relies on three primary data sources:

- **Blockchain transactions**: Raw Aptos transaction records containing gas usage, gas unit prices, timestamps, transaction hashes, and sender addresses for all network transactions
- **Price feeds**: Chainlink APT/USD price feeds providing accurate daily price data from August 2023 onwards through feed address `0x88a98431c25329aa422b21d147c1518b34dd36f4`
- **External price data**: CoinGecko daily market data for APT token prices covering the historical period before Chainlink coverage began, sourced using coingecko ID `aptos`

## 3. Step-by-step calculation

### Component A: Transaction data processing
- **Purpose**: Extract and normalize gas fee data from all Aptos transactions
- **Logic**: The process begins by retrieving all Aptos transaction records and applying several transformations. Transactions with timestamps after 2000-01-01 are processed normally, while any transactions with earlier timestamps (representing genesis or test data) are reassigned to the genesis timestamp of 2022-10-12 00:00:00 UTC. The `gas_unit_price` field is converted from its raw format to APT tokens by dividing by 10^8 to account for Aptos' 8-decimal precision. Both `gas_used` and `gas_unit_price` are safely cast to high-precision numeric types to prevent overflow during calculations.
- **Key fields**: `block_timestamp`, `transaction_hash`, `sender`, `gas_used`, and `gas_unit_price`

### Component B: Price data integration
- **Purpose**: Provide comprehensive APT/USD price coverage across the entire Aptos network history
- **Logic**: The system implements a hybrid pricing strategy to ensure complete historical coverage. For dates from August 10, 2023 onwards, it uses high-quality Chainlink price feed data from the specified feed address. For earlier dates, it falls back to CoinGecko daily market data using the `aptos` identifier. The CoinGecko data uses distinct daily timestamps to avoid duplicates and safely casts price values to high-precision numerics. This approach ensures accurate price conversion across the full timeline while prioritizing the most reliable price source when available.
- **Key fields**: `timestamp`, `price`, `feed_address`, `coingecko_id`, and `daily_timestamp`

### Component C: Daily fee aggregation
- **Purpose**: Calculate total transaction fees paid per day in APT tokens
- **Logic**: Transaction data is grouped by day using timestamp truncation to create daily buckets. For each day, the total fee amount is calculated by summing the product of `gas_used` and `gas_unit_price` across all transactions. This multiplication is performed using safe arithmetic operations to prevent overflow. The aggregation uses incremental processing with configurable lookback days for efficiency, ensuring complete daily totals while maintaining performance.
- **Key fields**: `timestamp`, `timestamp_grain`, and `fee_amount`

### Final aggregation
- **Combining components**: Daily APT fee amounts are joined with corresponding daily APT/USD prices based on timestamp matching. This inner join ensures only days with both fee and price data contribute to the final calculation.
- **Currency conversion**: USD conversion is performed by multiplying each day's `fee_amount` (in APT) by the corresponding daily `price` (APT/USD rate). This produces daily revenue figures in USD terms.
- **Time aggregation**: Data is aggregated at daily granularity using day-truncated timestamps, with a `timestamp_grain` field set to 'day' to indicate the aggregation level.
- **Final calculation**: The final revenue metric equals the sum of daily USD-converted transaction fees. Business metadata is applied including `chain_id` set to 'aptos', `market_sector_id` set to 'blockchains_l1', and `business_segment_id` set to 'blockchain'. The metric undergoes schema validation and gap-filling using a 'fill_zeros' strategy to ensure complete time series data. Revenue is defined as exactly equal to the calculated fees, establishing that Aptos network revenue consists entirely of transaction fees paid by users.

*This methodology was automatically generated by Token Terminal's methodology analyzer.*

fees * take_rate (illustrative — revenue is observed directly per project, not derived from take_rate)

Fee revenue retained after supply-side payouts. Before cost of revenue (e.g. L2 DA fees) and before operating expenses.

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