For years, Schedule RC-O, Memorandum Item 2 quietly sat in the Call Report. It was completed, reviewed, and filed. Then banks began experiencing rapid deposit outflows, and suddenly everyone wanted to know: “How much of the bank’s deposit base is uninsured?” What was once a routine reporting item became an important indicator of funding and liquidity risk, used by both regulators and management.
The $250,000 Question
The FDIC generally provides deposit insurance coverage up to $250,000 per depositor, per ownership category, at each insured institution. But determining uninsured deposits is not as simple as finding every account over $250,000 and adding up the excess. The real question is:
“How much of the customer's deposit relationship exceeds FDIC insurance limits after considering ownership structure and applicable rules?” A customer may have separate coverage for different ownership categories, such as business, jointly owned, trust, or retirement accounts.
Look Beyond the Account Balance
Some deposits require additional analysis. For example:
It's About More Than the Number
Banks with $1 billion or more in total assets report estimated uninsured deposits in Schedule RC-O, Memorandum Item 2. But regulators are not interested only in the final number. They also want to understand how the bank calculated it or classified the deposits Can the bank explain:
A well-documented process is critical.
Why It Matters
Uninsured deposits can provide valuable insight into a bank's funding profile. A high level of uninsured deposits may indicate greater reliance on large deposit relationships and increased sensitivity to depositor confidence during periods of stress. That does not mean uninsured deposits are bad. It means banks need to understand them and their impact.
Before filing your next uninsured deposit estimate, ask:
“Are we truly understanding our deposit relationships, or are we simply looking at account balances?” Because behind the number reported in Schedule RC-O is your bank’s story about deposit concentration, customer relationships, data quality, and liquidity risk.
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