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 | 909.02 Bn | 886.77 Bn | - |
| 2 | Banco Santander Chile | 406.67 Bn | -7,110.43 Bn | - |
| 3 | Bank Of America | 350.91 Bn | -2,025.20 Bn | - |
| 4 | Hsbc Holdings | 308.71 Bn | -2,966.46 Bn | - |
| 5 | Morgan Stanley | 293.66 Bn | -249.15 Bn | - |
| 6 | Royal Bank Of Canada | 283.56 Bn | -546.44 Bn | - |
| 7 | Goldman Sachs | 262.71 Bn | -3,480.74 Bn | - |
| 8 | Wells Fargo & Company | 257.44 Bn | 92.87 Bn | - |
| 9 | Mitsubishi Ufj Financial | 256.82 Bn | -75.42 Bn | 10.89 Bn |
| 10 | Timberland Bancorp | 375.82 Mn | 375.82 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 34,000.00 |
| 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 |
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();