Timberland Bancorp (TSBK) Cash Due from Bank (2010 - 2026)
Timberland Bancorp (TSBK) posted Cash Due from Bank of $32.8 million for fiscal Q3 2026 (quarter ended Jun 30, 2026), up 0.8% from $32.53 million a year earlier and up 35.8% from the prior quarter.
Timberland Bancorp (TSBK) Cash Due from Bank (2010 - 2026) Analysis & Trends
At the end of FY2025 (ended Sep 30, 2025), Timberland Bancorp's Cash Due from Bank came in at $23.65 million, down 18.7% from FY2024.
- Annual Cash Due from Bank shows a five-year compound annual growth rate of 1.6% (FY2020 to FY2025).
- In prior fiscal years, Timberland Bancorp's Cash Due from Bank was $29.07 million in FY2024 (+14.5%), $25.39 million in FY2023 (+2.3%), $24.81 million in FY2022 (-5.7%) and $26.32 million in FY2021 (+20.3%).
- The fiscal Q3 2026 figure stands as the highest quarterly Cash Due from Bank in data going back to fiscal Q4 2010.
- On a year-over-year basis, Cash Due from Bank increased in four of the last eight quarters, with growth averaging 1.7%.
- The strongest year-over-year quarter for Cash Due from Bank in the past five years was fiscal Q1 2023, with growth of 52.1%; the weakest was fiscal Q4 2025, with a decline of 18.7%.
- According to Business Quant data, Cash Due from Bank for the three prior fiscal quarters was $24.16 million (Q2 2026), $23.18 million (Q1 2026) and $23.65 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash Due from Bank (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 883.45 Bn | 912.92 Bn | - | 24.72 Bn |
| 2 | Banco Santander Chile | 401.52 Bn | 521.46 Bn | - | - |
| 3 | Bank Of America | 377.43 Bn | -1,998.64 Bn | - | 28.10 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 | - | 46.00 Bn |
| 7 | Mitsubishi Ufj Financial | 270.70 Bn | -1,317.79 Bn | 10.89 Bn | 505.89 Bn |
| 8 | Goldman Sachs | 263.13 Bn | -3,293.98 Bn | - | - |
| 9 | Wells Fargo & Company | 243.64 Bn | 245.78 Bn | - | 42.16 Bn |
| 10 | Timberland Bancorp | 353.44 Mn | -705.23 Mn | - | 32.80 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 32.80 Mn |
| Mar 31, 2026 | 24.16 Mn |
| Dec 31, 2025 | 23.18 Mn |
| Sep 30, 2025 | 23.65 Mn |
| Jun 30, 2025 | 32.53 Mn |
| Mar 31, 2025 | 26.01 Mn |
| Dec 31, 2024 | 24.54 Mn |
| Sep 30, 2024 | 29.07 Mn |
| Jun 30, 2024 | 25.57 Mn |
| Mar 31, 2024 | 22.31 Mn |
| Dec 31, 2023 | 28.66 Mn |
| Sep 30, 2023 | 25.39 Mn |
| Jun 30, 2023 | 28.31 Mn |
| Mar 31, 2023 | 26.02 Mn |
| Dec 31, 2022 | 31.24 Mn |
| Sep 30, 2022 | 24.81 Mn |
| Jun 30, 2022 | 23.61 Mn |
| Mar 31, 2022 | 26.50 Mn |
| Dec 31, 2021 | 20.54 Mn |
| Sep 30, 2021 | 26.32 Mn |
Timberland Bancorp Cash Due from Bank 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=cash-due-from-bank&ticker=TSBK&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-due-from-bank", "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=cash-due-from-bank&ticker=TSBK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();