
Liquity V2 vs Aave, Morpho & Compound: ETH Borrowing Costs
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In this article
Compare Liquity V2 with Aave, Morpho, Compound, and Spark using 365-day borrowing costs, rate volatility, and ETH capital efficiency.
Overview
Key takeaways
Liquity V2’s user-set borrowing rates produced lower realized ETH and LST borrowing costs than the compared money markets during the 365-day sample.
Liquity’s borrowing rates were less correlated with Aave, Morpho, and Compound because its rate mechanism does not use the same utilization-curve model.
Liquity V2 supported higher LTVs on ETH and liquid staking tokens, improving capital efficiency for long-horizon borrowers.
On a $500k wstETH loan, the difference between borrowing at 4.5% and 3.27% is approximately $6,150 annually. This gap reflects the realized 365-day average for Liquity V2 relative to its competitors. That is the crux of what follows. Over the past year, borrowing against ETH and liquid staking tokens (LSTs) on Liquity V2 has consistently been materially cheaper than on Aave, Morpho, Compound, or Spark. The rates have also been less volatile, with Liquity’s ETH and wstETH borrow rates never breaching 5% and 6%, respectively, in the sample period. At the same time, other competitors recorded daily maxima well above those levels. Furthermore, the protocol offers loan-to-value ratios (LTVs) of 91% on ETH and 83% on LSTs, compared to 66% on Spark and 70-80% on Aave. Three independent advantages. This article examines each one.
The Rate Gap Is Realized, Not Projected
Begin with the 365-day average borrowing rates. Over that period, Liquity V2 came in at roughly 3% for ETH, 3.24% for wstETH, and 2.5% for rETH. The next closest pool, Spark, averaged around 4.32%. Aave, Morpho, and Compound were generally in the 5% range or higher; Aave’s USDC borrow APY sat between 4.5% and 8%, while Compound reached as high as 7% over the same time period.’ The key point here is that this is not just a launch-period incentive rate; it reflects realized borrowing cost over time.
For wstETH, using the same 3.24% figure, a $500k loan saves around $8,800 annually at a 5% rate from another competitor pool. Those differences are significant enough to matter, wherein, for borrowers carrying ETH or LST leverage over a long period, funding costs are among the main variables that determine whether the position is actually viable.
Why is Liquity Cheaper? The Mechanism Matters
Most DeFi lending protocols operate on a utilization-curve model, in which interest rates rise automatically as more of the pool is borrowed out. When a large borrower draws down liquidity, or when stablecoin demand spikes during a market event, utilization climbs and the curve outputs a higher rate, sometimes sharply. Aave’s governance was recently debating a proposal to set the borrow slope1 parameter to 9.5% for stablecoins across all instances, illustrating that rates can be pushed up by DAO vote at any point. Spark’s rates are set directly by sky governance. Borrowers on these platforms are, in practice, renting capital at a rate controlled by a third party and reflexively linked to pool utilization.
Liquity V2 works differently. Borrowers set their own annual interest rate when opening a collateralized loan position, known as a Trove, and it is kept that way until they decide to change it or close. There is no utilization-curve pushing rates up, no DAO that can reprice existing positions overnight. The rate a borrower picks is what they pay. Market forces operate through a redemption mechanism, where BOLD holders can exchange their stablecoin for ETH at face value, typically starting with the lowest-rate Troves, which creates a natural floor preventing rates from staying unrealistically low. The result is a rate environment that behaves more like an ETH funding rate than a stablecoin money market. Borrowers are not fighting for pool liquidity against yield chasers; they are pricing their own cost of capital.
One caveat to note: the 365-day averages reflect realized borrower behaviour under specific market conditions, from a still-nascent protocol. As Liquity V2 scales up TVL, competitive dynamics may modestly shift rates upward. That said, the structural mechanism that produced those rates remains intact.
Low Correlation and Rate Spikes That Did Not Materialize
The second advantage is less visible but arguably more important for risk-managed borrowers: Liquity’s borrow rates do not move in sync with Aave, Morpho, or Compound. The correlation evidence: Analysis of daily borrow rates across these protocols shows that Aave, Morpho, and Compound are closely tied together.
Correlation coefficients:
Aave-Morpho: 0.51
Morpho-Compound: 0.43
Aave-Compound: 0.39
They share utilization-based rate models, draw from similar stablecoin liquidity pools, and respond to the same on-chain demand events. When rates spike on one, they typically spike on all three.
Liquity’s correlation to this group is negligible. The correlation between Liquity’s wstETH borrow rate and Aave is -0.12; with Morpho, 0.13; with compound, 0.21. For the ETH portion, the figures are 0.15, 0.06, and 0.04 respectively. At face value, these assets may appear weakly correlated; however, the more important point is that their underlying rate mechanisms differ, so borrowing on Liquity provides genuine diversification away from traditional lenders, since it does not track the same funding cycle as the other pools. The true benefit here is that the borrower is less exposed to the kind of synchronized repricing that could hit Aave, Morpho, or Compound. This matters in three practical ways:
Lower Surprise Costs: If a position is open for several weeks or months, avoiding rate spikes matters more than just the initial APR
Cleaner Budgeting: A fixed user-set rate makes it easier for the user to estimate the cost of the position and manage allocation.
Better for carry trade: Long term strategies sensitive to funding rates need predictable costs.
Rate spikes matter more than averages. Realized average cost is half the story, the other half is what happens during market stress, which are the periods when positions are most vulnerable and when surprise rate jumps are most damaging.
Looking at the maximum daily rate observed across the same sample period:
Compound’s borrow rate was much less stable, rising to nearly 12% at its peak from a 4.85% average, which is a difference of 700 basis points. Aave has a 240bps spread; Morpho has a nearly 300bps spread. Liquity’s ETH portion moved by only 144 bps from average to maximum. Liquity’s wstETH spread was 200bps, which is still tighter than all three peers.
Practically, this means, a borrower running a $1 million wstETH position into a market-wide stablecoin de-peg event would have faced rates upwards of 7-12% on Compound or Aave for the duration of that spike. On Liquity, the same period would have remained sub-6%. Because the borrower’s rate is user-set and not algorithmically repriced in response to pool utilization, there is no mechanism by which an external liquidity shock would force their cost up. The isolation is structural, not incidental.
Capital Efficiency and the Rate You Control
The third angle is both a practical borrowing benefit as well as an explanatory lens for the above. Liquity V2 supports up to 91% LTV on ETH and 83.33% on wstETH and rETH. When compared to Spark’s roughly 66% LTV for ETH and Aave’s typical 70-80% band for ETH/LST collateral, the gap is not insignificant. A borrower with $1 million of wstETH can extract roughly $830k of BOLD on Liquity versus perhaps $750k on Aave or $660k on Spark. That additional $80-170k of borrowing capacity, compounding at a 6-10% yield on BOLD, meaningfully changes the economics of levered positions over time.
The LTV advantage is possibly partly due to Liquity’s liquidation system, which is designed to clear positions instantly and efficiently at the protocol level, without relying on external liquidators competing under high gas fees. This mechanical tightness is what allows the lower minimum collateral ratio.
In addition to the LTV benefit, users retain direct control over their borrowing rate for the life of the position. Rate management can be delegated to a third party for passive strategies, but the key point is that no governance body, no utilization algorithm, and no market maker can unilaterally raise the rate on an open Trove.’ That predictability has tangible value for any borrower running a multi-month position, it eliminates a form of invisible cost risk that most blue-chip lending users absorb without quantifying it.
Who This Is Actually For
The case above is clearest for a specific type of borrower: long-horizon ETH or LST holders who carry leverage for weeks or months, use BOLD proceeds for delta-neural strategies, basis trades, or re-deployment into yield, and need reliable, low-cost funding that will not spike during the periodic stress events that characterise cryptocurrency markets.
For that profile, the data presented above is genuinely significant. Lower realized rates, uncorrelated rate behaviour, tighter spike ranges, and higher LTV add up to a structural advantage, not just a cheaper headline number.
The case is weaker for short-horizon traders, for whom a few hundred basis points of annual APR are irrelevant relative to gas costs and order-execution slippage. It is also limited by collateral scope: Liquity V2 supports only ETH, wstETH, and rETH.’ Anyone needing to borrow against WBTC, weETH, or other assets must look elsewhere.
The distinction worth preserving is this: Aave, Morpho, and Compound are money markets with governance-managed rate curves, where the borrower’s cost is partly a function of what everyone else in the pool is doing. Liquity V2 is closer to an ETH-native funding desk, where the borrower prices their own rate against a market-clearing mechanism, protocol revenues flow entirely back to users with no DAO treasury, and the rate complex remains structurally insulated from the stablecoin liquidity cycles that drive spikes on the other platforms.
Frequently asked questions
Why was Liquity V2 cheaper than Aave in the sample?
Liquity V2 lets borrowers set their own interest rate instead of relying on a utilization curve that automatically reprices borrowing as pool demand changes.
What is the main advantage of Liquity V2 for long-term ETH borrowers?
Its combination of user-set rates, lower realized borrowing costs, and higher LTVs can make funding more predictable for multi-week or multi-month positions.
What are the limitations of Liquity V2?
The analysis is based on a historical 365-day sample, and Liquity V2 supports a narrower collateral set than larger money markets such as Aave.


