Phil walks through the blockchain fee review.
Pick a time window and you pick a ranking. BSC trails Ethereum on today's fees by nearly half, yet beats it over thirty days. Base's fees halved last week. Fees tell you what users spent on execution, not why, and not who profits.
| Chain | 24h | 7d | 30d |
|---|---|---|---|
| Solana | $970k | $7.19M | $27.74M |
| Tron | $863k | $5.71M | $24.00M |
| Ethereum | $730k | $4.19M | $17.70M |
| BSC | $390k | $4.20M | $20.79M |
| Base | $122k | $596k | $4.52M |
DefiLlama chain fees · 6 Oct 2026 · baselines derived
Solana and Tron hold first and second place in all three windows. Below them, the order shifts. Over the last day Ethereum is third with $730k and BSC fourth with $390k, about 53% of Ethereum. Over seven days they're nearly level ($4.20M vs $4.19M). Over thirty days BSC is clearly ahead, $20.8M against $17.7M, about 17.5% higher.
A review based only on the current day would miss that reversal. It also shows why every fee ranking should state its window.
DefiLlama chain fees · USD
1 = highest fees · hover for values
BSC and Ethereum swap places between the 24-hour and 7-day windows; at 7 days they are separated by about $10k.
Thirty-day fees divided by thirty give an average day. Against that baseline, BSC's latest day is about 43.7% lower, while Ethereum's is about 23.7% higher. Compared with the weekly average, BSC is still 35% down and Ethereum 22% up.
Splitting the month into the last 7 days and the 23 before shows direction. Solana's last week ran about 15% above the rest of the month. BSC's ran about 17% below. Base's last week averaged roughly half its daily fees from earlier in the month, even though its latest day bounced 43% above the weekly average. These describe recent activity against each chain's own baseline; they don't explain the demand shift.
Weekly average = 7d ÷ 7 · monthly average = 30d ÷ 30 · derived
Average daily fees · last 7 days vs the 23 days before · derived as (30d − 7d) ÷ 23
Steady pace = 7 ÷ 30 ≈ 23%.
Five-chain totals: $3.08M (24h) · $94.75M (30d) · Base, far right: 4.0% and 4.8%
Fees rise when more people use a chain, but also when block space gets scarcer and pricier, when fee rules change, or when activity shifts toward expensive operations. A chain serving many cheap interactions can collect less than one serving fewer costly transactions.
Clarity comes from separating transaction count from the average fee paid, then looking at the mix of activity. Dollar fees also move with the price of the token used to pay them. And fees are user spending: not audited profit, and not automatically income for token holders. Application fees are a separate layer on top.
Drivers a fee change can't distinguish on its own
More transactions at similar prices.
Check: tx countSame activity, higher price per unit.
Check: avg feeProtocol upgrades altering pricing.
Check: changelogMix shifts to heavier contract calls.
Check: tx mixIllustrative · two hypothetical chains each collecting $1M a day
Chain A: 100M transactions at $0.01. Chain B: 1M transactions at $1.00. Identical fee totals, very different networks. Bars use log scales.
Layers of economic activity
What users paid the network for execution. This review.
What users paid apps on top: swap fees, lending spreads.
Fees minus validator and infrastructure costs; not audited here.
Only if the chain routes fees to holders; not automatic.
What the snapshot supports today
$970k (24h) to $27.7M (30d).
+17.5% monthly; 53% daily.
Derived from window differences.
Could be price, rules or mix.
User spending only.
Transaction coverage not harmonised; deliberately not calculated.
Solana leads fee collection on every window. Below it, the ranking depends on whether you look at a day, a week or a month, and BSC and Ethereum trade places. Base's fees dropped sharply over the last week. None of this, on its own, says whether usage, pricing or fee rules drove the change.
The next step is to split fees into transaction count and average fee on harmonised data, then look at the activity mix and the token price behind the dollar figures.
For a recurring fee report
Methodology and limits. Uses one DefiLlama chain-fee rankings page retrieved on 6 Oct 2026. Baselines divide 30-day fees by 30 and 7-day fees by 7; the "earlier 23 days" average is (30d − 7d) ÷ 23 and assumes aligned windows. Fees are user spending, not audited operating profit or automatic token-holder income; application charges are a separate layer. No fee-per-transaction estimate is presented because cross-page transaction coverage has not been harmonised. Dashboard 08 is illustrative. Exact upstream cutoffs were unavailable. Dated research, not a live feed. Not investment advice.