Timberland Bancorp (TSBK) Cash from Operations (2010 - 2026)
Timberland Bancorp's Cash from Operations came in at $8.36 million for fiscal Q3 2026 (quarter ended Jun 30, 2026), down 22.5% from $10.78 million a year earlier but up 24.3% from the prior quarter.
Timberland Bancorp (TSBK) Cash from Operations (2010 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Timberland Bancorp reported Cash from Operations of $31.24 million, up 17.0% year-over-year; for FY2025 (ended Sep 30, 2025), it came in at $30.16 million, up 31.0% from FY2024.
- Cash from Operations carries a five-year compound annual growth rate of -2.3% (FY2020 to FY2025).
- Going back by fiscal year, Cash from Operations was $23.02 million in FY2024 (-25.7%), $31 million in FY2023 (+17.0%), $26.5 million in FY2022 (-10.6%) and $29.64 million in FY2021 (-12.5%).
- The five-year range for quarterly Cash from Operations is -$3.06 million (fiscal Q1 2025) to $12.35 million (fiscal Q2 2025).
- Year-over-year, Cash from Operations increased in three of the last six quarters, with growth averaging 35.9%.
- The fastest year-over-year change in Cash from Operations over five years came in fiscal Q1 2022 (growth of 398.8%), and the weakest in fiscal Q1 2024 (a decline of 48.3%).
- Business Quant data shows TSBK's Cash from Operations at $6.72 million (Q2 2026), $6.08 million (Q1 2026) and $10.08 million (Q4 2025) in the three fiscal quarters before Q3 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash from Ops. (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 879.54 Bn | 909.01 Bn | - | -25.28 Bn |
| 2 | Banco Santander Chile | 418.48 Bn | 538.42 Bn | - | - |
| 3 | Bank Of America | 381.92 Bn | -1,994.15 Bn | - | 29.04 Bn |
| 4 | Hsbc Holdings | 341.10 Bn | 341.15 Bn | - | - |
| 5 | Morgan Stanley | 295.71 Bn | -213.38 Bn | - | -2.75 Bn |
| 6 | Royal Bank Of Canada | 275.38 Bn | 126.13 Bn | - | 25.17 Bn |
| 7 | Mitsubishi Ufj Financial | 273.79 Bn | -1,314.70 Bn | 10.89 Bn | - |
| 8 | Goldman Sachs | 262.78 Bn | -3,294.34 Bn | - | 6.11 Bn |
| 9 | Wells Fargo & Company | 242.61 Bn | 244.75 Bn | - | 6.78 Bn |
| 10 | Timberland Bancorp | 346.37 Mn | -712.30 Mn | - | 8.36 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 8.36 Mn |
| Mar 31, 2026 | 6.72 Mn |
| Dec 31, 2025 | 6.08 Mn |
| Sep 30, 2025 | 10.08 Mn |
| Jun 30, 2025 | 10.78 Mn |
| Mar 31, 2025 | 12.35 Mn |
| Dec 31, 2024 | -3.06 Mn |
| Sep 30, 2024 | 6.62 Mn |
| Jun 30, 2024 | 7.43 Mn |
| Mar 31, 2024 | 4.11 Mn |
| Dec 31, 2023 | 4.87 Mn |
| Sep 30, 2023 | 7.77 Mn |
| Jun 30, 2023 | 7.87 Mn |
| Mar 31, 2023 | 5.94 Mn |
| Dec 31, 2022 | 9.42 Mn |
| Sep 30, 2022 | 8.11 Mn |
| Jun 30, 2022 | 8.98 Mn |
| Mar 31, 2022 | 5.15 Mn |
| Dec 31, 2021 | 4.26 Mn |
| Sep 30, 2021 | 6.91 Mn |
Timberland Bancorp Cash from Operations 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=cash-from-operations&ticker=TSBK&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-from-operations", "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=cash-from-operations&ticker=TSBK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();