Timberland Bancorp (TSBK) Cash & Equivalents (2010 - 2026)
Timberland Bancorp (TSBK) recorded Cash & Equivalents of $246.08 million in fiscal Q3 2026 (quarter ended Jun 30, 2026), up 27.1% from $193.63 million a year earlier but down 16.5% from the prior quarter.
Timberland Bancorp (TSBK) Cash & Equivalents (2010 - 2026) Analysis & Trends
At the end of FY2025 (ended Sep 30, 2025), Timberland Bancorp reported Cash & Equivalents of $243.43 million, up 47.8% from FY2024.
- Annual Cash & Equivalents has a five-year compound annual growth rate of -5.0% (FY2020 to FY2025).
- Across earlier fiscal years, Cash & Equivalents came in at $164.73 million in FY2024 (+28.0%), $128.72 million in FY2023 (-59.4%), $316.76 million in FY2022 (-45.4%) and $580.2 million in FY2021 (+84.5%).
- Quarterly Cash & Equivalents has ranged from $128.72 million in fiscal Q4 2023 to $580.2 million in fiscal Q4 2021 over the past five years.
- On a year-over-year basis, Cash & Equivalents has increased for ten consecutive quarters, with growth averaging 29.9% over the last eight quarters.
- Peak year-over-year performance for Cash & Equivalents in the last five years was growth of 84.5% in fiscal Q4 2021, against a decline of 71.1% in fiscal Q2 2023 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $294.67 million (Q2 2026), $246.86 million (Q1 2026) and $243.43 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (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 | - | 229.75 Bn |
| 4 | Hsbc Holdings | 330.31 Bn | 330.37 Bn | - | 29.08 Bn |
| 5 | Morgan Stanley | 299.17 Bn | -209.92 Bn | - | 160.14 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 | - |
| 8 | Goldman Sachs | 263.13 Bn | -3,293.98 Bn | - | 187.27 Bn |
| 9 | Wells Fargo & Company | 243.64 Bn | 245.78 Bn | - | - |
| 10 | Timberland Bancorp | 353.44 Mn | -705.23 Mn | - | 246.08 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 246.08 Mn |
| Mar 31, 2026 | 294.67 Mn |
| Dec 31, 2025 | 246.86 Mn |
| Sep 30, 2025 | 243.43 Mn |
| Jun 30, 2025 | 193.63 Mn |
| Mar 31, 2025 | 191.21 Mn |
| Dec 31, 2024 | 164.07 Mn |
| Sep 30, 2024 | 164.73 Mn |
| Jun 30, 2024 | 158.91 Mn |
| Mar 31, 2024 | 180.35 Mn |
| Dec 31, 2023 | 158.02 Mn |
| Sep 30, 2023 | 128.72 Mn |
| Jun 30, 2023 | 129.95 Mn |
| Mar 31, 2023 | 142.48 Mn |
| Dec 31, 2022 | 224.90 Mn |
| Sep 30, 2022 | 316.76 Mn |
| Jun 30, 2022 | 422.15 Mn |
| Mar 31, 2022 | 492.30 Mn |
| Dec 31, 2021 | 558.33 Mn |
| Sep 30, 2021 | 580.20 Mn |
Timberland Bancorp Cash & Equivalents 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-and-equivalents&ticker=TSBK&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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-and-equivalents&ticker=TSBK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();