Timberland Bancorp (TSBK) Amortization - Intangibles (2010 - 2026)
Timberland Bancorp's Amortization - Intangibles came in at $34,000 for fiscal Q3 2026 (quarter ended Jun 30, 2026), down 24.4% from $45,000 a year earlier and unchanged from the prior quarter.
Timberland Bancorp (TSBK) Amortization - Intangibles (2010 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Timberland Bancorp reported Amortization - Intangibles of $147,000, down 23.4% year-over-year; for FY2025 (ended Sep 30, 2025), it came in at $180,000, down 20.4% from FY2024.
- Amortization - Intangibles has declined in each of the last six fiscal years, with a five-year compound annual growth rate of -15.0% (FY2020 to FY2025).
- Going back by fiscal year, Amortization - Intangibles was $226,000 in FY2024 (-16.6%), $271,000 in FY2023 (-14.2%), $316,000 in FY2022 (-12.5%) and $361,000 in FY2021 (-11.1%).
- The five-year range for quarterly Amortization - Intangibles is $34,000 (fiscal Q1 2026) to $90,000 (fiscal Q4 2021).
- Year-over-year, Amortization - Intangibles has declined for 27 consecutive quarters, with an average decline of 21.4% over the last eight quarters.
- Across the past five years, year-over-year decline in Amortization - Intangibles ran from 11.8% in fiscal Q4 2021 to 24.4% in fiscal Q1 2026.
- Business Quant data shows TSBK's Amortization - Intangibles at $34,000 (Q2 2026), $34,000 (Q1 2026) and $45,000 (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 | 34,000.00 |
| Mar 31, 2026 | 34,000.00 |
| Dec 31, 2025 | 34,000.00 |
| Sep 30, 2025 | 45,000.00 |
| Jun 30, 2025 | 45,000.00 |
| Mar 31, 2025 | 45,000.00 |
| Dec 31, 2024 | 45,000.00 |
| Sep 30, 2024 | 57,000.00 |
| Jun 30, 2024 | 56,000.00 |
| Mar 31, 2024 | 57,000.00 |
| Dec 31, 2023 | 56,000.00 |
| Sep 30, 2023 | 68,000.00 |
| Jun 30, 2023 | 68,000.00 |
| Mar 31, 2023 | 67,000.00 |
| Dec 31, 2022 | 68,000.00 |
| Sep 30, 2022 | 79,000.00 |
| Jun 30, 2022 | 79,000.00 |
| Mar 31, 2022 | 79,000.00 |
| Dec 31, 2021 | 79,000.00 |
| Sep 30, 2021 | 90,000.00 |
Timberland Bancorp Amortization - Intangibles 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=amortization-intangibles&ticker=TSBK&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "amortization-intangibles", "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=amortization-intangibles&ticker=TSBK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();