Timberland Bancorp (TSBK) Amortizatization of Intangibles (2010 - 2026)
Timberland Bancorp (TSBK) reported Amortizatization of Intangibles of $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) Amortizatization of Intangibles (2010 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Timberland Bancorp's Amortizatization of Intangibles came in at -$161,000; for FY2025 (ended Sep 30, 2025), it was $180,000, down 20.4% from FY2024.
- Amortizatization of Intangibles has declined for six consecutive fiscal years, with a five-year compound annual growth rate of -15.0% (FY2020 to FY2025).
- By fiscal year, Amortizatization of Intangibles came in at $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%).
- Five-year quarterly Amortizatization of Intangibles spans a low of -$563,000 in fiscal Q4 2022 and a high of $299,000 in fiscal Q1 2022.
- Year over year, Amortizatization of Intangibles has now declined in each of the last three quarters, with an average decline of 19.7% over the last six quarters.
- The high point for year-over-year Amortizatization of Intangibles in five years was fiscal Q1 2022 (growth of 16.3%); the low point was fiscal Q2 2026 (a decline of 24.4%).
- Per Business Quant data, the three fiscal quarters before Q3 2026 came in at $34,000 (Q2 2026), $173,000 (Q1 2026) and -$402,000 (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Amort. of Intangibles (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 | - | 287.60 Mn |
| 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 | - | 34,000.00 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 34,000.00 |
| Mar 31, 2026 | 34,000.00 |
| Dec 31, 2025 | 173,000.00 |
| Sep 30, 2025 | -402,000.00 |
| Jun 30, 2025 | 45,000.00 |
| Mar 31, 2025 | 45,000.00 |
| Dec 31, 2024 | 200,000.00 |
| Sep 30, 2024 | -458,000.00 |
| Jun 30, 2024 | 56,000.00 |
| Mar 31, 2024 | 57,000.00 |
| Dec 31, 2023 | 236,000.00 |
| Sep 30, 2023 | -498,000.00 |
| Jun 30, 2023 | 68,000.00 |
| Mar 31, 2023 | 67,000.00 |
| Dec 31, 2022 | 263,000.00 |
| Sep 30, 2022 | -563,000.00 |
| Jun 30, 2022 | 79,000.00 |
| Mar 31, 2022 | 79,000.00 |
| Dec 31, 2021 | 299,000.00 |
| Sep 30, 2021 | -456,000.00 |
Timberland Bancorp Amortizatization of 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=amortizatization-of-intangibles&ticker=TSBK&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "amortizatization-of-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=amortizatization-of-intangibles&ticker=TSBK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();