Timberland Bancorp (TSBK) FDIC Insurance (2010 - 2026)
Timberland Bancorp's FDIC Insurance was $222,000 in fiscal Q3 2026 (quarter ended Jun 30, 2026), up 5.2% from $211,000 a year earlier but down 2.6% from the prior quarter.
Timberland Bancorp (TSBK) FDIC Insurance (2010 - 2026) Analysis & Trends
On a trailing twelve-month basis, Timberland Bancorp's FDIC Insurance was $882,000 through Jun 30, 2026, up 3.9% year-over-year; for FY2025 (ended Sep 30, 2025), it was $851,000, up 2.2% from FY2024.
- FDIC Insurance has now increased for six consecutive fiscal years, with a five-year compound annual growth rate of 33.1% (FY2020 to FY2025).
- In earlier fiscal years, FDIC Insurance was $833,000 in FY2024 (+17.2%), $711,000 in FY2023 (+40.5%), $506,000 in FY2022 (+21.9%) and $415,000 in FY2021 (+103.4%).
- Quarterly FDIC Insurance has moved between $114,000 (fiscal Q4 2021) and $228,000 (fiscal Q2 2026) over five years.
- Compared with a year earlier, FDIC Insurance has increased for six straight quarters, with growth averaging 3.9% over the last eight quarters.
- The best year-over-year quarter for FDIC Insurance over five years was fiscal Q1 2024 (growth of 69.4%); the worst was fiscal Q1 2023 (a decline of 3.1%).
- Per Business Quant data, TSBK's FDIC Insurance in the three fiscal quarters before Q3 2026 was $228,000 (Q2 2026), $221,000 (Q1 2026) and $211,000 (Q4 2025).
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 | Timberland Bancorp | 375.82 Mn | 375.82 Mn | - | 220,000.00 |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 220,000.00 |
| Jun 30, 2026 | 222,000.00 |
| Mar 31, 2026 | 228,000.00 |
| Dec 31, 2025 | 221,000.00 |
| Sep 30, 2025 | 211,000.00 |
| Jun 30, 2025 | 211,000.00 |
| Mar 31, 2025 | 219,000.00 |
| Dec 31, 2024 | 210,000.00 |
| Sep 30, 2024 | 209,000.00 |
| Jun 30, 2024 | 208,000.00 |
| Mar 31, 2024 | 206,000.00 |
| Dec 31, 2023 | 210,000.00 |
| Sep 30, 2023 | 194,000.00 |
| Jun 30, 2023 | 191,000.00 |
| Mar 31, 2023 | 202,000.00 |
| Dec 31, 2022 | 124,000.00 |
| Sep 30, 2022 | 129,000.00 |
| Jun 30, 2022 | 123,000.00 |
| Mar 31, 2022 | 126,000.00 |
| Dec 31, 2021 | 128,000.00 |
Timberland 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=TSBK&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "fdic-insurance", "ticker": "TSBK", "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=TSBK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();