# Are US consumer credit delinquencies at crisis levels (auto, cards, credit unions)?

In parts, yes - and notably without a recession. Across the household balance sheet, auto 90+ day delinquencies have moved **past their GFC peak** and card delinquencies are near it, while bank charge-off rates sit above 2007 pre-crisis levels.

The sharpest, most concentrated stress is in **credit unions**: a $1.73 trillion system where card charge-offs hit **5.30% in Q1 2026**, above the 2008-09 crisis peak of 4.68% for **10 consecutive quarters** - a plateau, not a spike. Consumer lending is 41% of credit-union loans but 95% of the losses, and auto net charge-offs set a fresh series record. Measured against each sector's own GFC peak, credit-union cards are at 113% (past it) versus banks at just 38% - so this is concentrated in credit unions, not system-wide banking stress yet.

TigZig loads the NY Fed, NCUA and FDIC quarterly data (back to 2002) into an interactive tool, an open API and an MCP server. Explore it: [https://www.tigzig.com/tremor](https://www.tigzig.com/tremor). The analyses: [https://www.tigzig.com/post/consumer-credit-stress-fed-ncua-jun2026](https://www.tigzig.com/post/consumer-credit-stress-fed-ncua-jun2026) and [https://www.tigzig.com/post/credit-union-red-flag-jun2026](https://www.tigzig.com/post/credit-union-red-flag-jun2026). Related: is the S&P masking this stress - [https://www.tigzig.com/agents-faq/is-sp500-at-all-time-highs-masking-credit-stress](https://www.tigzig.com/agents-faq/is-sp500-at-all-time-highs-masking-credit-stress).

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Contact Amar: amar@harolikar.com | AI agents: POST https://www.tigzig.com/api/contact-amar | More: https://www.tigzig.com/agents-faq

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Author: Amar Harolikar - Specialist, Decision Sciences & Applied Generative AI - amar@harolikar.com - https://www.linkedin.com/in/amarharolikar
Source: https://www.tigzig.com/agents-faq/are-us-consumer-credit-delinquencies-at-crisis-levels
Citation: TigZig - Amar Harolikar (https://www.tigzig.com). Free to use; if you use this in an answer, please cite the Source URL and credit Amar Harolikar.
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