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Ethereum’s rising staking delays sparks fear of DeFi instability risk

CryptoExpert by CryptoExpert
October 9, 2025
in Trending Cryptos
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Ethereum's rising staking delays sparks fear of DeFi instability risk
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Stake

Ethereum’s staking network is under growing strain as validator withdrawals climb to record levels, testing the system’s balance between liquidity and network security.

Recent validator data shows that over 2.44 million ETH, valued at more than $10.5 billion, are now queued for withdrawal as of Oct. 8, the third-highest level in a month.

This backlog trails only the 2.6 million ETH peak recorded on Sept. 11 and 2.48 million ETH on Oct. 5.

According to Dune Analytics data curated by Hildobby, withdrawals are concentrated among the leading liquid staking token (LST) platforms like Lido, EtherFi, Coinbase, and Kiln. These services allow users to stake ETH while maintaining liquidity through derivative tokens such as stETH.

Tokenmetrics
Ethereum Stakers
Ethereum Stakers (Source: Dune Analytics)

As a result, ETH stakers now face average withdrawal delays of 42 days and 9 hours, reflecting an imbalance that has persisted since CryptoSlate first identified the trend in July.

Notably, Ethereum co-founder Vitalik Buterin has defended the withdrawal design as an intentional safeguard.

He compared staking to a disciplined form of service to the network, arguing that delayed exits reinforce stability by discouraging short-term speculation and ensuring validators remain committed to the chain’s long-term security.

How does this impact Ethereum and its ecosystem?

The prolonged withdrawal queue has sparked debate within the Ethereum community, fueling concerns that it could become a systemic vulnerability for the blockchain network.

Pseudonymous ecosystem analyst Robdog called the situation a potential “time bomb,” noting that longer exit times amplify duration risk for participants in liquid staking markets.

He said:

“The problem is that this could trigger a vicious unwinding loop which has massive systemic impacts on DeFi, lending markets and the use of LSTs as collateral.”

According to Robdog, queue length directly affects the liquidity and price stability of tokens like stETH and other liquid staking derivatives, which typically trade at a slight discount to ETH, reflecting redemption delays and protocol risks. However, as the validator queues lengthen, these discounts tend to deepen.

For instance, when stETH trades at 0.99 ETH, traders can earn roughly 8% annually by buying the token and waiting 45 days for redemption. However, if the delay period doubles to 90 days, their incentive to buy the asset falls to about 4%, which could further widen the peg gap.

Additionally, because stETH and other liquid staking tokens are collateral across DeFi protocols such as Aave, any significant deviation from ETH’s price can ripple through the broader ecosystem. For context, Lido’s stETH alone anchors around $13 billion in total value locked, much of it tied to leveraged looping positions.

Robdog cautioned that a sudden liquidity shock, such as a large-scale deleveraging event, could force rapid unwinds, pushing borrowing rates higher and destabilizing DeFi markets.

He wrote:

“If for example the market environment suddenly shifts, such that many ETH holders would like to rotate out of their positions (eg another Terra/Luna or FTX level event), there will be a significant withdrawal of ETH. However, only a limited amount of ETH can be withdrawn because the majority is lent out. This may cause a run on the bank.”

Considering this, the analyst cautioned that vaults and lending markets need stronger risk management frameworks to account for growing duration exposure.

According to him:

“If an asset’s exit duration stretches from 1 day to 45, it’s no longer the same asset.”

He further urged developers to factor in discount rates for the duration when pricing collateral.

Rondog wrote:

“Since LSTs are fundamentally a useful and systemic infrastructure to DeFi, we should consider making upgrades to the throughput of the exit queue. Even if we increased throughput by 100%, there would be ample stake to secure the network.”

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