Timberland Bancorp (TSBK) Other Accumulated Expenses (2010 - 2026)
Timberland Bancorp's Other Accumulated Expenses was $9.75 million in fiscal Q3 2026 (quarter ended Jun 30, 2026), up 0.5% from $9.7 million a year earlier and up 6.5% from the prior quarter.
Timberland Bancorp (TSBK) Other Accumulated Expenses (2010 - 2026) Analysis & Trends
At the end of FY2025 (ended Sep 30, 2025), Other Accumulated Expenses at Timberland Bancorp came in at $10.45 million, up 18.5% from FY2024.
- Other Accumulated Expenses shows a five-year compound annual growth rate of 7.4% (FY2020 to FY2025).
- In earlier fiscal years, Other Accumulated Expenses was $8.82 million in FY2024 (-2.3%), $9.03 million in FY2023 (+17.3%), $7.7 million in FY2022 (+4.5%) and $7.37 million in FY2021 (+0.8%).
- Quarterly Other Accumulated Expenses has moved between $6.57 million (fiscal Q2 2022) and $10.45 million (fiscal Q4 2025) over five years.
- Compared with a year earlier, Other Accumulated Expenses has increased for five straight quarters, with growth averaging 6.2% over the last eight quarters.
- The best year-over-year quarter for Other Accumulated Expenses over five years was fiscal Q1 2023 (growth of 27.5%); the worst was fiscal Q1 2025 (a decline of 5.8%).
- Per Business Quant data, TSBK's Other Accumulated Expenses in the three fiscal quarters before Q3 2026 was $9.15 million (Q2 2026), $10.22 million (Q1 2026) and $10.45 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Jpmorgan Chase | 883.45 Bn | 912.92 Bn | - |
| 2 | Banco Santander Chile | 401.52 Bn | 521.46 Bn | - |
| 3 | Bank Of America | 377.43 Bn | -1,998.64 Bn | - |
| 4 | Hsbc Holdings | 330.31 Bn | 330.37 Bn | - |
| 5 | Morgan Stanley | 299.17 Bn | -209.92 Bn | - |
| 6 | Royal Bank Of Canada | 274.08 Bn | 124.82 Bn | - |
| 7 | Mitsubishi Ufj Financial | 270.70 Bn | -1,317.79 Bn | 10.89 Bn |
| 8 | Goldman Sachs | 263.13 Bn | -3,293.98 Bn | - |
| 9 | Wells Fargo & Company | 243.64 Bn | 245.78 Bn | - |
| 10 | Timberland Bancorp | 353.44 Mn | -705.23 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 9.75 Mn |
| Mar 31, 2026 | 9.15 Mn |
| Dec 31, 2025 | 10.22 Mn |
| Sep 30, 2025 | 10.45 Mn |
| Jun 30, 2025 | 9.70 Mn |
| Mar 31, 2025 | 7.95 Mn |
| Dec 31, 2024 | 8.36 Mn |
| Sep 30, 2024 | 8.82 Mn |
| Jun 30, 2024 | 9.21 Mn |
| Mar 31, 2024 | 8.28 Mn |
| Dec 31, 2023 | 8.88 Mn |
| Sep 30, 2023 | 9.03 Mn |
| Jun 30, 2023 | 8.78 Mn |
| Mar 31, 2023 | 8.26 Mn |
| Dec 31, 2022 | 8.90 Mn |
| Sep 30, 2022 | 7.70 Mn |
| Jun 30, 2022 | 7.23 Mn |
| Mar 31, 2022 | 6.57 Mn |
| Dec 31, 2021 | 6.98 Mn |
| Sep 30, 2021 | 7.37 Mn |
Timberland Bancorp Other Accumulated Expenses 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=other-accumulated-expenses&ticker=TSBK&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-accumulated-expenses", "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=other-accumulated-expenses&ticker=TSBK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();