DeFiEarns

Best stablecoin yields on Ink

USDC, USDT, DAI, USDS, USDe and other dollar-pegged coins: every liquid pool with live APY, the base/reward split and a 30-day average. Sorted by liquidity so the biggest, most reliable markets come first.

4.07%
Median single-asset APY
3.50%
Best APY (liquid)
1
Liquid pools
$9.4M
Total liquidity
1
Protocols
All chains Ink
Pool APY 30d avg TVL ▾ 30d Risk
USDC Tydro 4.07% base 4.07% 3.50% $9.4M Stable Single Down Deposit ↗

By stablecoin

Where stablecoin yield comes from

Three sources. Lending markets (Aave, Morpho, Spark, Compound) pay you the interest that borrowers pay, minus a protocol fee; rates rise when leverage demand rises. Savings tokens (sUSDS, sUSDe, USDY, BUIDL) pass through treasury-bill income or funding-rate income. Liquidity pools (Curve, Uniswap) pay trading fees, sometimes topped up with reward tokens. The base/reward split under each APY tells you which part is durable.

Compare the base rate with the median above: a stablecoin pool paying three times the median is either tiny, new, or paying in a token you may not want. Custodial alternatives are on the CeFi rates page.

Questions people ask

What is the best stablecoin yield on Ink right now?
The highest APY among stablecoin pools with at least $1M of liquidity is 3.50%. The median stablecoin single-asset rate is 4.07%. Rates refresh every hour.
Which stablecoins pay the most?
Rates differ by coin and venue. USDC up to 3.50%. Open a coin page for every pool.
Why do stablecoin APYs differ so much between protocols?
Lending markets pay what borrowers pay, minus a protocol cut. Liquidity pools earn trading fees. Some pools add token rewards on top (shown as “reward” in the APY split), and those emissions can stop at any time. Higher APY usually means a smaller market, a newer protocol or extra risk.
Are stablecoin yields safe?
No yield is risk-free. Stablecoins can lose their peg, smart contracts can be exploited, and lending markets can run out of liquidity. Prefer large TVL, audited protocols and rates that are close to the median. See our methodology.