Ethereum mainnet · Live on-chain comparison
Uniswap vs SushiSwap
Compare Uniswap and SushiSwap on Ethereum by trusted TVL, volume, trades, active addresses and pool coverage.
Data updated Jul 28, 2026, 9:31 PM UTC
| Metric | Uniswap | SushiSwap |
|---|---|---|
| TVL | $1.16B | $26.83M |
| Volume 24h | $810.77M | $1.90M |
| Volume 7d | $980.62M | $2.52M |
| Active addresses 24h | 8,715 | 292 |
| Trades 24h | 128,881 | 2,006 |
| Tracked pools | 1,184 | 20 |
| Volume / TVL | 69.61% | 7.08% |
Uniswap vs SushiSwap: what the data shows
CoinVerum combines Uniswap V2 and V3 for the venue total. The SushiSwap view currently reflects qualifying Ethereum V3 pools, so pool count is also a coverage comparison rather than a full all-version inventory.
Volume, trades and observed senders measure indexed Ethereum activity. TVL measures the current qualifying liquidity base and can remain high or low independently of short-term trading demand.
Uniswap currently has the higher Ethereum TVL at $1.16B, compared with $26.83M for SushiSwap. Uniswap currently has the higher 24-hour Ethereum volume at $810.77M, compared with $1.90M for SushiSwap.
How to read this comparison
A higher value is not a universal quality score. TVL describes qualifying liquidity, volume and trades show recent indexed use, and volume-to-TVL estimates how intensively liquidity was used in the last 24 hours. The figures use the same Ethereum mainnet scope on both sides.
Frequently asked questions
Which has more TVL, Uniswap or SushiSwap?
Uniswap currently has the higher Ethereum TVL at $1.16B, compared with $26.83M for SushiSwap.
Which has more trading volume, Uniswap or SushiSwap?
Uniswap currently has the higher 24-hour Ethereum volume at $810.77M, compared with $1.90M for SushiSwap.
Are active addresses the same as unique users?
No. CoinVerum counts distinct observed Ethereum transaction senders. Routers, aggregators and smart accounts can represent activity from multiple people.
Explore Uniswap analytics and SushiSwap analytics, inspect their Uniswap pools and SushiSwap pools, or review the data methodology.