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Home»Ethereum»Growing Ethereum Staking Delays Spark Fears of Risk of DeFi Instability
Ethereum

Growing Ethereum Staking Delays Spark Fears of Risk of DeFi Instability

October 9, 2025No Comments
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Ethereum’s staking network is under increasing pressure as validator withdrawals reach record levels, testing the system’s balance between liquidity and network security.

Recent data from the validator shows that over 2.44 million ETH, valued at over $10.5 billion, is now awaiting withdrawal as of October 8, the third highest level in a month.

This backlog only lags behind the peak of 2.6 million ETH recorded on September 11 and 2.48 million ETH on October 5.

According to Dune Analytics data maintained by Hildobby, withdrawals are concentrated on major Liquid Staking Token (LST) platforms such as Lido, EtherFi, Coinbase, and Kiln. These services allow users to stake ETH while maintaining liquidity through derivative tokens such as stETH.

Ethereum Players
Ethereum stakers (Source: Dune Analytics)

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

Notably, Ethereum co-founder Vitalik Buterin defended the view of withdrawal as an intentional collateral.

He likened staking to a disciplined form of servicing the network, saying that delayed exits enhance stability by discouraging short-term speculation and ensuring that validators remain committed to the long-term security of the chain.

What impact does this have on Ethereum and its ecosystem?

The extended withdrawal queue has sparked debate within the Ethereum community, fueling fears 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 concern is that this could trigger a vicious unwinding loop that would have massive systemic impacts on DeFi, lending markets, and the use of LST 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 validator queues grow longer, these reductions tend to become more pronounced.

For example, when stETH is trading at 0.99 ETH, traders can earn around 8% per year by purchasing the token and waiting 45 days for redemption. However, if the time frame doubles to 90 days, their incentive to buy the asset drops to around 4%, which could further widen the SEO gap.

Additionally, since stETH and other liquid staking tokens are collateral in DeFi protocols such as Aave, any significant deviation from the price of ETH can ripple through the broader ecosystem. As a reminder, Lido stETH alone anchors approximately $13 billion in total value locked, much of which is tied to leveraged loop positions.

Robdog warned 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 changes such that many ETH holders want to exit their positions (e.g. another event at Terra/Luna or FTX), there will be a large withdrawal of ETH. However, only a limited amount of ETH can be withdrawn as the majority is on loan. This may cause a run on the bank.”

Given this, the analyst warned that vaults and loan markets need stronger risk management frameworks to account for increasing duration exposure.

According to him:

“If the release duration of an asset extends from 1 day to 45 days, it is no longer the same asset.”

He further urged developers to consider discount rates for duration when pricing guarantees.

Rondog wrote:

“Since LSTs are fundamentally a useful and systemic infrastructure for DeFi, we should consider upgrading the output queue throughput. Even if we increased the throughput by 100%, there would be a significant stake in securing the network.”

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