Timberland Bancorp (TSBK) Provision for Losses (2010 - 2026)
Timberland Bancorp (TSBK) posted Provision for Losses of $508,000 for fiscal Q3 2026 (quarter ended Jun 30, 2026), up 15.5% from $440,000 a year earlier but down 2.9% from the prior quarter.
Powered by 
Analysis
Timberland Bancorp (TSBK) Provision for Losses (2010 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Provision for Losses at Timberland Bancorp was $1.22 million, up 1.2% year-over-year; for FY2025 (ended Sep 30, 2025), it came in at $934,000, down 18.9% from FY2024.
- Annual Provision for Losses shows a five-year compound annual growth rate of -24.1% (FY2020 to FY2025).
- In prior fiscal years, Timberland Bancorp's Provision for Losses was $1.15 million in FY2024 (-46.0%), $2.13 million in FY2023 (+689.6%) and $270,000 in FY2022.
- Quarterly Provision for Losses has run from a low of -$35,000 in fiscal Q1 2026 to a high of $610,000 in fiscal Q3 2023 over five years.
- On a year-over-year basis, Provision for Losses increased in four of the last seven quarters, with growth averaging 37.0%.
- The strongest year-over-year quarter for Provision for Losses in the past five years was fiscal Q2 2025, with growth of 203.7%; the weakest was fiscal Q1 2025, with a decline of 92.0%.
- According to Business Quant data, Provision for Losses for the three prior fiscal quarters was $523,000 (Q2 2026), -$35,000 (Q1 2026) and $221,000 (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Provision for Losses (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 909.02 Bn | 886.77 Bn | - | 2.74 Bn |
| 2 | Banco Santander Chile | 406.67 Bn | -7,110.43 Bn | - | - |
| 3 | Bank Of America | 350.91 Bn | -2,025.20 Bn | - | 1.30 Bn |
| 4 | Hsbc Holdings | 308.71 Bn | -2,966.46 Bn | - | - |
| 5 | Morgan Stanley | 293.66 Bn | -249.15 Bn | - | - |
| 6 | Royal Bank Of Canada | 283.56 Bn | -546.44 Bn | - | 717.20 Mn |
| 7 | Goldman Sachs | 262.71 Bn | -3,480.74 Bn | - | 368.00 Mn |
| 8 | Wells Fargo & Company | 257.44 Bn | 92.87 Bn | - | 1.03 Bn |
| 9 | Mitsubishi Ufj Financial | 256.82 Bn | -75.42 Bn | 10.89 Bn | - |
| 10 | Timberland Bancorp | 375.82 Mn | 375.82 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 508,000.00 |
| Mar 31, 2026 | 523,000.00 |
| Dec 31, 2025 | -35,000.00 |
| Sep 30, 2025 | 221,000.00 |
| Jun 30, 2025 | 440,000.00 |
| Mar 31, 2025 | 246,000.00 |
| Dec 31, 2024 | 27,000.00 |
| Sep 30, 2024 | 490,000.00 |
| Jun 30, 2024 | 244,000.00 |
| Mar 31, 2024 | 81,000.00 |
| Dec 31, 2023 | 336,000.00 |
| Sep 30, 2023 | 522,000.00 |
| Jun 30, 2023 | 610,000.00 |
| Mar 31, 2023 | 475,000.00 |
| Dec 31, 2022 | 525,000.00 |
| Sep 30, 2022 | 270,000.00 |
| Sep 30, 2020 | 500,000.00 |
| Jun 30, 2020 | 1.00 Mn |
| Mar 31, 2020 | 2.00 Mn |
| Dec 31, 2019 | 200,000.00 |
API Access
Timberland Bancorp Provision for Losses 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=provision-for-losses&ticker=TSBK&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "provision-for-losses", "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=provision-for-losses&ticker=TSBK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();