Cullen (CFR) FDIC Insurance (2009 - 2026)
Cullen (CFR) recorded FDIC Insurance of $6.94 million in Q3 2026, up 9.7% from $6.33 million a year earlier and up 10.1% from the prior quarter.
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Analysis
Cullen (CFR) FDIC Insurance (2009 - 2026) Analysis & Trends
On a TTM basis, Cullen's FDIC Insurance came in at $19.1 million as of Sep 30, 2026, down 29.3% year-over-year; for FY2025, it was $18.75 million, down 49.7% from FY2024.
- Annual FDIC Insurance has a five-year compound annual growth rate of 12.3% (FY2020 to FY2025).
- Across earlier years, FDIC Insurance came in at $37.27 million in FY2024 (-51.3%), $76.59 million in FY2023 (+390.9%), $15.6 million in FY2022 (+27.6%) and $12.23 million in FY2021 (+16.5%).
- Quarterly FDIC Insurance has ranged from -$1.35 million in Q4 2025 to $58.11 million in Q4 2023 over the past five years.
- On a year-over-year basis, FDIC Insurance rose in two of the last seven quarters, with an average decline of 23.9%.
- Peak year-over-year performance for FDIC Insurance in the last five years was growth of 135.8% in Q1 2024, against a decline of 88.1% in Q4 2024 at the low end.
- Per Business Quant, the preceding three quarters came in at $6.31 million (Q2 2026), $7.2 million (Q1 2026) and -$1.35 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | FDIC Insurance (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 918.91 Bn | 918.91 Bn | - | - |
| 2 | Banco Santander Chile | 870.35 Bn | 846.93 Bn | - | - |
| 3 | Bank Of America | 358.55 Bn | -2,017.56 Bn | - | - |
| 4 | Hsbc Holdings | 315.74 Bn | -668.95 Bn | - | - |
| 5 | Morgan Stanley | 290.88 Bn | -253.14 Bn | - | - |
| 6 | Royal Bank Of Canada | 287.92 Bn | 137.98 Bn | - | - |
| 7 | Goldman Sachs | 270.57 Bn | -3,472.88 Bn | - | - |
| 8 | Wells Fargo & Company | 258.79 Bn | 258.79 Bn | - | - |
| 9 | Mitsubishi Ufj Financial | 247.94 Bn | 129.81 Bn | - | - |
| 10 | Cullen | 9.80 Bn | -19.95 Bn | - | 6.94 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 6.94 Mn |
| Jun 30, 2026 | 6.31 Mn |
| Mar 31, 2026 | 7.20 Mn |
| Dec 31, 2025 | -1.35 Mn |
| Sep 30, 2025 | 6.33 Mn |
| Jun 30, 2025 | 6.59 Mn |
| Mar 31, 2025 | 7.18 Mn |
| Dec 31, 2024 | 6.92 Mn |
| Sep 30, 2024 | 7.24 Mn |
| Jun 30, 2024 | 8.38 Mn |
| Mar 31, 2024 | 14.72 Mn |
| Dec 31, 2023 | 58.11 Mn |
| Sep 30, 2023 | 6.03 Mn |
| Jun 30, 2023 | 6.20 Mn |
| Mar 31, 2023 | 6.25 Mn |
| Dec 31, 2022 | 3.97 Mn |
| Sep 30, 2022 | 4.28 Mn |
| Jun 30, 2022 | 3.72 Mn |
| Mar 31, 2022 | 3.63 Mn |
| Dec 31, 2021 | 3.34 Mn |
API Access
Cullen 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=CFR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "fdic-insurance", "ticker": "CFR", "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=CFR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();