Timberland Bancorp (TSBK) Tax Provisions (2010 - 2026)
Timberland Bancorp (TSBK) reported Tax Provisions of $1.93 million for fiscal Q3 2026 (quarter ended Jun 30, 2026), up 7.7% from $1.79 million a year earlier and up 10.9% from the prior quarter.
Timberland Bancorp (TSBK) Tax Provisions (2010 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Timberland Bancorp's Tax Provisions came in at $7.63 million, up 12.5% year-over-year; for FY2025 (ended Sep 30, 2025), it came in at $7.07 million, up 15.5% from FY2024.
- Tax Provisions has a five-year compound annual growth rate of 3.2% (FY2020 to FY2025).
- By fiscal year, Tax Provisions came in at $6.12 million in FY2024 (-11.0%), $6.88 million in FY2023 (+15.3%), $5.96 million in FY2022 (-12.9%) and $6.85 million in FY2021 (+13.4%).
- Five-year quarterly Tax Provisions spans a low of $1.32 million in fiscal Q2 2022 and a high of $2.1 million in fiscal Q1 2026.
- Year over year, Tax Provisions has now increased in each of the last seven quarters, with growth averaging 11.4% over the last eight quarters.
- The high point for year-over-year Tax Provisions in five years was fiscal Q1 2023 (growth of 35.4%); the low point was fiscal Q1 2022 (a decline of 26.2%).
- Per Business Quant data, the three fiscal quarters before Q3 2026 came in at $1.74 million (Q2 2026), $2.1 million (Q1 2026) and $1.86 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Taxes (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 879.54 Bn | 909.01 Bn | - | 6.36 Bn |
| 2 | Banco Santander Chile | 418.48 Bn | 538.42 Bn | - | -51.13 Bn |
| 3 | Bank Of America | 381.92 Bn | -1,994.15 Bn | - | 2.49 Bn |
| 4 | Hsbc Holdings | 341.10 Bn | 341.15 Bn | - | - |
| 5 | Morgan Stanley | 295.71 Bn | -213.38 Bn | - | 1.70 Bn |
| 6 | Royal Bank Of Canada | 275.38 Bn | 126.13 Bn | - | 1.24 Bn |
| 7 | Mitsubishi Ufj Financial | 273.79 Bn | -1,314.70 Bn | 10.89 Bn | 1.17 Bn |
| 8 | Goldman Sachs | 262.78 Bn | -3,294.34 Bn | - | 1.94 Bn |
| 9 | Wells Fargo & Company | 242.61 Bn | 244.75 Bn | - | 1.40 Bn |
| 10 | Timberland Bancorp | 346.37 Mn | -712.30 Mn | - | 1.93 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.93 Mn |
| Mar 31, 2026 | 1.74 Mn |
| Dec 31, 2025 | 2.10 Mn |
| Sep 30, 2025 | 1.86 Mn |
| Jun 30, 2025 | 1.79 Mn |
| Mar 31, 2025 | 1.71 Mn |
| Dec 31, 2024 | 1.71 Mn |
| Sep 30, 2024 | 1.57 Mn |
| Jun 30, 2024 | 1.54 Mn |
| Mar 31, 2024 | 1.47 Mn |
| Dec 31, 2023 | 1.55 Mn |
| Sep 30, 2023 | 1.62 Mn |
| Jun 30, 2023 | 1.67 Mn |
| Mar 31, 2023 | 1.71 Mn |
| Dec 31, 2022 | 1.88 Mn |
| Sep 30, 2022 | 1.79 Mn |
| Jun 30, 2022 | 1.47 Mn |
| Mar 31, 2022 | 1.32 Mn |
| Dec 31, 2021 | 1.39 Mn |
| Sep 30, 2021 | 1.53 Mn |
Timberland Bancorp Tax Provisions 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=tax-provisions&ticker=TSBK&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "tax-provisions", "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=tax-provisions&ticker=TSBK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();