Timberland Bancorp (TSBK) Change in Net Loans (2010 - 2026)
Timberland Bancorp's Change in Net Loans was $45.51 million in fiscal Q3 2026 (quarter ended Jun 30, 2026), up 108.7% from $21.8 million a year earlier.
Timberland Bancorp (TSBK) Change in Net Loans (2010 - 2026) Analysis & Trends
On a trailing twelve-month basis, Timberland Bancorp's Change in Net Loans was $55.44 million through Jun 30, 2026, up 21.3% year-over-year; for FY2025 (ended Sep 30, 2025), it was $43.14 million, down 64.4% from FY2024.
- Change in Net Loans shows a five-year compound annual growth rate of -20.3% (FY2020 to FY2025).
- In earlier fiscal years, Change in Net Loans was $121.08 million in FY2024 (-30.0%), $172.86 million in FY2023 (+5.9%), $163.24 million in FY2022 and -$47.05 million in FY2021.
- The fiscal Q3 2026 figure marks the highest quarterly Change in Net Loans since fiscal Q3 2023.
- Compared with a year earlier, Change in Net Loans was higher in 1 of the last five quarters, with an average decline of 9.9%.
- The best year-over-year quarter for Change in Net Loans over five years was fiscal Q3 2026 (growth of 108.7%); the worst was fiscal Q2 2025 (a decline of 63.2%).
- Per Business Quant data, TSBK's Change in Net Loans in the three fiscal quarters before Q3 2026 was -$7.52 million (Q2 2026), -$4.94 million (Q1 2026) and $22.4 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change in Net Loans (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 | - | 12.69 Bn |
| 6 | Royal Bank Of Canada | 275.38 Bn | 126.13 Bn | - | -22.01 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 | - | 7.29 Bn |
| 9 | Wells Fargo & Company | 242.61 Bn | 244.75 Bn | - | -19.63 Bn |
| 10 | Timberland Bancorp | 346.37 Mn | -712.30 Mn | - | 45.51 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 45.51 Mn |
| Mar 31, 2026 | -7.52 Mn |
| Dec 31, 2025 | -4.94 Mn |
| Sep 30, 2025 | 22.40 Mn |
| Jun 30, 2025 | 21.80 Mn |
| Mar 31, 2025 | 8.36 Mn |
| Dec 31, 2024 | -9.42 Mn |
| Sep 30, 2024 | 24.96 Mn |
| Jun 30, 2024 | 38.51 Mn |
| Mar 31, 2024 | 22.74 Mn |
| Dec 31, 2023 | 34.87 Mn |
| Sep 30, 2023 | 42.45 Mn |
| Jun 30, 2023 | 51.24 Mn |
| Mar 31, 2023 | 38.32 Mn |
| Dec 31, 2022 | 40.84 Mn |
| Sep 30, 2022 | 45.07 Mn |
| Jun 30, 2022 | 53.97 Mn |
| Mar 31, 2022 | 39.30 Mn |
| Dec 31, 2021 | 24.89 Mn |
| Sep 30, 2021 | -34.36 Mn |
Timberland Bancorp Change in Net Loans 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=change-in-net-loans&ticker=TSBK&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-net-loans", "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=change-in-net-loans&ticker=TSBK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();