Take a look at https://github.com/code-423n4/2024-08-wildcat/blob/fe746cc0fbedc4447a981a50e6ba4c95f98b9fe1/src/market/WildcatMarketBase.sol#L406-L465
This function is used to return the cached MarketState after accruing interest and delinquency / protocol fees and processing expired withdrawal batch, if any. Now going to the implementation of updateScaleFactorAndFees() thats called to increase the markets scaleFactor based on the annual interest rate, we see that the interest rate is not a fixed rate based on time, but rather, it compounds depending on how frequently updateScaleFactorAndFees() is called, see https://github.com/code-423n4/2024-08-wildcat/blob/fe746cc0fbedc4447a981a50e6ba4c95f98b9fe1/src/libraries/FeeMath.sol#L140-L170
This then means that if updateState() is called repeatedly, the final amount owed by the borrower in a market will be higher as compared to if updateState() was called once, see this for more info on hwo we get to this. So markets which have their state updated more frequently will have a slightly higher interest rate, which means the borrower will owe lenders slightly more assets. This easily occurs, if say the market is popular, and state-changing functions are always called or a lender even intentionally calls updateState() repeatedly.
QA, this seems as a design choice, however this leads to a slight loss of funds for the borrower, and a slight gain for lenders.
In scope, consider  calling updateScaleFactorAndFees() after a certain time period has passed. This ensures that a lender cannot intentionally call updateState() repeatedly to inflate the interest rate within the chosen duration. 
