Cathay General Bancorp (CATY) FDIC Insurance (2009 - 2026)
Cathay General Bancorp (CATY) recorded FDIC Insurance of $2.9 million in Q3 2026, up 4.1% from $2.78 million a year earlier but down 3.2% from the prior quarter.
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Analysis
Cathay General Bancorp (CATY) FDIC Insurance (2009 - 2026) Analysis & Trends
On a TTM basis, Cathay General Bancorp's FDIC Insurance came in at $10.36 million as of Sep 30, 2026, down 1.9% year-over-year; for FY2025, it was $11.38 million, down 20.3% from FY2024.
- Annual FDIC Insurance has a five-year compound annual growth rate of 4.8% (FY2020 to FY2025).
- Across earlier years, FDIC Insurance came in at $14.28 million in FY2024 (-39.5%), $23.59 million in FY2023 (+193.5%), $8.04 million in FY2022 (+12.7%) and $7.13 million in FY2021 (-20.7%).
- Quarterly FDIC Insurance has ranged from $1.2 million in Q4 2024 to $14.36 million in Q4 2023 over the past five years.
- On a year-over-year basis, FDIC Insurance rose in two of the last eight quarters, with an average decline of 15.8%.
- Peak year-over-year performance for FDIC Insurance in the last five years was growth of 604.5% in Q4 2023, against a decline of 91.7% in Q4 2024 at the low end.
- Per Business Quant, the preceding three quarters came in at $2.99 million (Q2 2026), $2.45 million (Q1 2026) and $2.02 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | FDIC Insurance (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 909.02 Bn | 886.77 Bn | - | - |
| 2 | Banco Santander Chile | 406.67 Bn | -7,110.43 Bn | - | - |
| 3 | Bank Of America | 350.91 Bn | -2,025.20 Bn | - | - |
| 4 | Hsbc Holdings | 308.71 Bn | -2,966.46 Bn | - | 3.57 Bn |
| 5 | Morgan Stanley | 293.66 Bn | -249.15 Bn | - | - |
| 6 | Royal Bank Of Canada | 283.56 Bn | -546.44 Bn | - | - |
| 7 | Goldman Sachs | 262.71 Bn | -3,480.74 Bn | - | - |
| 8 | Wells Fargo & Company | 257.44 Bn | 92.87 Bn | - | - |
| 9 | Mitsubishi Ufj Financial | 256.82 Bn | -75.42 Bn | 10.89 Bn | - |
| 10 | Cathay General Bancorp | 4.32 Bn | 4.22 Bn | - | 2.90 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 2.90 Mn |
| Jun 30, 2026 | 2.99 Mn |
| Mar 31, 2026 | 2.45 Mn |
| Dec 31, 2025 | 2.02 Mn |
| Sep 30, 2025 | 2.78 Mn |
| Jun 30, 2025 | 3.18 Mn |
| Mar 31, 2025 | 3.40 Mn |
| Dec 31, 2024 | 1.20 Mn |
| Sep 30, 2024 | 3.25 Mn |
| Jun 30, 2024 | 3.74 Mn |
| Mar 31, 2024 | 6.09 Mn |
| Dec 31, 2023 | 14.36 Mn |
| Sep 30, 2023 | 3.06 Mn |
| Jun 30, 2023 | 3.01 Mn |
| Mar 31, 2023 | 3.16 Mn |
| Dec 31, 2022 | 2.04 Mn |
| Sep 30, 2022 | 2.00 Mn |
| Jun 30, 2022 | 2.19 Mn |
| Mar 31, 2022 | 1.80 Mn |
| Dec 31, 2021 | 1.94 Mn |
API Access
Cathay General Bancorp FDIC Insurance API
Pull this series into your own models, spreadsheets and apps with the Business Quant
Historical Metrics API. The request below matches the chart above — change the
frequency, period or values and it follows. Swap YOUR_API_KEY for your own key.
https://data.businessquant.com/historic?slug=fdic-insurance&ticker=CATY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "fdic-insurance", "ticker": "CATY", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=fdic-insurance&ticker=CATY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();