Isabella Bank (ISBA) FDIC Insurance (2009 - 2026)
Isabella Bank (ISBA) recorded FDIC Insurance of $297,000 in Q3 2026, up 9.6% from $271,000 a year earlier and up 3.1% from the prior quarter.
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Analysis
Isabella Bank (ISBA) FDIC Insurance (2009 - 2026) Analysis & Trends
On a TTM basis, Isabella Bank's FDIC Insurance came in at $1.23 million as of Sep 30, 2026, up 7.0% year-over-year; for FY2025, it came in at $1.18 million, up 4.2% from FY2024.
- Annual FDIC Insurance has increased for three straight years, with a three-year compound annual growth rate of 30.0% (FY2022 to FY2025).
- Across earlier years, FDIC Insurance came in at $1.13 million in FY2024 (+22.8%), $922,000 in FY2023 (+71.7%) and $537,000 in FY2022.
- Quarterly FDIC Insurance has ranged from $228,000 in Q3 2023 to $339,000 in Q4 2025 over the past five years.
- On a year-over-year basis, FDIC Insurance has increased for four consecutive quarters, with growth averaging 8.7% over the last eight quarters.
- Peak year-over-year performance for FDIC Insurance in the last five years was growth of 32.6% in Q4 2024, against a decline of 6.9% in Q3 2025 at the low end.
- Per Business Quant, the preceding three quarters came in at $288,000 (Q2 2026), $306,000 (Q1 2026) and $339,000 (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 | Isabella Bank | 311.50 Mn | 55.04 Mn | - | 297,000.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 297,000.00 |
| Jun 30, 2026 | 288,000.00 |
| Mar 31, 2026 | 306,000.00 |
| Dec 31, 2025 | 339,000.00 |
| Sep 30, 2025 | 271,000.00 |
| Jun 30, 2025 | 267,000.00 |
| Mar 31, 2025 | 303,000.00 |
| Dec 31, 2024 | 309,000.00 |
| Sep 30, 2024 | 291,000.00 |
| Jun 30, 2024 | 280,000.00 |
| Mar 31, 2024 | 252,000.00 |
| Dec 31, 2023 | 233,000.00 |
| Sep 30, 2023 | 228,000.00 |
| Jun 30, 2023 | 233,000.00 |
| Dec 31, 2011 | 212,000.00 |
| Sep 30, 2011 | 209,000.00 |
| Jun 30, 2011 | 331,000.00 |
| Mar 31, 2011 | 334,000.00 |
| Dec 31, 2010 | 323,000.00 |
| Sep 30, 2010 | 312,000.00 |
API Access
Isabella Bank 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=ISBA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "fdic-insurance", "ticker": "ISBA", "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=ISBA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();