Timberland Bancorp (TSBK) Other Operating Expenses (2010 - 2026)
Timberland Bancorp's Other Operating Expenses came in at $1.11 million for fiscal Q3 2026 (quarter ended Jun 30, 2026), up 11.7% from $993,000 a year earlier but down 5.8% from the prior quarter.
Timberland Bancorp (TSBK) Other Operating Expenses (2010 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Timberland Bancorp reported Other Operating Expenses of $4.46 million, up 0.9% year-over-year; for FY2025 (ended Sep 30, 2025), it was $4.37 million, up 2.5% from FY2024.
- Other Operating Expenses has increased in each of the last five fiscal years, with a five-year compound annual growth rate of 13.8% (FY2020 to FY2025).
- Going back by fiscal year, Other Operating Expenses was $4.26 million in FY2024 (+20.3%), $3.55 million in FY2023 (+28.0%), $2.77 million in FY2022 (+10.4%) and $2.51 million in FY2021 (+9.8%).
- The five-year range for quarterly Other Operating Expenses is $642,000 (fiscal Q4 2021) to $1.18 million (fiscal Q2 2026).
- Year-over-year, Other Operating Expenses increased in five of the last eight quarters, with growth averaging 5.8%.
- The fastest year-over-year change in Other Operating Expenses over five years came in fiscal Q3 2023 (growth of 35.2%), and the weakest in fiscal Q3 2025 (a decline of 8.6%).
- Business Quant data shows TSBK's Other Operating Expenses at $1.18 million (Q2 2026), $1.06 million (Q1 2026) and $1.12 million (Q4 2025) in the three fiscal quarters before Q3 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Jpmorgan Chase | 879.54 Bn | 909.01 Bn | - |
| 2 | Banco Santander Chile | 418.48 Bn | 538.42 Bn | - |
| 3 | Bank Of America | 381.92 Bn | -1,994.15 Bn | - |
| 4 | Hsbc Holdings | 341.10 Bn | 341.15 Bn | - |
| 5 | Morgan Stanley | 295.71 Bn | -213.38 Bn | - |
| 6 | Royal Bank Of Canada | 275.38 Bn | 126.13 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 | - |
| 9 | Wells Fargo & Company | 242.61 Bn | 244.75 Bn | - |
| 10 | Timberland Bancorp | 346.37 Mn | -712.30 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.11 Mn |
| Mar 31, 2026 | 1.18 Mn |
| Dec 31, 2025 | 1.06 Mn |
| Sep 30, 2025 | 1.12 Mn |
| Jun 30, 2025 | 993,000.00 |
| Mar 31, 2025 | 1.12 Mn |
| Dec 31, 2024 | 1.14 Mn |
| Sep 30, 2024 | 1.16 Mn |
| Jun 30, 2024 | 1.09 Mn |
| Mar 31, 2024 | 1.04 Mn |
| Dec 31, 2023 | 974,000.00 |
| Sep 30, 2023 | 933,000.00 |
| Jun 30, 2023 | 944,000.00 |
| Mar 31, 2023 | 880,000.00 |
| Dec 31, 2022 | 789,000.00 |
| Sep 30, 2022 | 790,000.00 |
| Jun 30, 2022 | 698,000.00 |
| Mar 31, 2022 | 669,000.00 |
| Dec 31, 2021 | 668,000.00 |
| Sep 30, 2021 | 642,000.00 |
Timberland Bancorp Other Operating 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-operating-expenses&ticker=TSBK&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-operating-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-operating-expenses&ticker=TSBK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();