Timberland Bancorp (TSBK) Total Liabilities (2010 - 2026)
Timberland Bancorp (TSBK) posted Total Liabilities of $1.79 billion for fiscal Q3 2026 (quarter ended Jun 30, 2026), up 5.1% from $1.7 billion a year earlier and up 0.7% from the prior quarter.
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Analysis
Timberland Bancorp (TSBK) Total Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2025 (ended Sep 30, 2025), Timberland Bancorp's Total Liabilities came in at $1.75 billion, up 4.3% from FY2024.
- Annual Total Liabilities shows a five-year compound annual growth rate of 4.9% (FY2020 to FY2025).
- In prior fiscal years, Timberland Bancorp's Total Liabilities was $1.68 billion in FY2024 (+4.4%), $1.61 billion in FY2023 (-2.1%), $1.64 billion in FY2022 (+3.6%) and $1.59 billion in FY2021 (+15.0%).
- The fiscal Q3 2026 figure stands as the highest quarterly Total Liabilities in data going back to fiscal Q4 2010.
- On a year-over-year basis, Total Liabilities has increased in each of the last 11 quarters, with growth averaging 3.4% over the last eight quarters.
- The strongest year-over-year quarter for Total Liabilities in the past five years was fiscal Q1 2022, with growth of 16.2%; the weakest was fiscal Q2 2023, with a decline of 6.4%.
- According to Business Quant data, Total Liabilities for the three prior fiscal quarters was $1.78 billion (Q2 2026), $1.74 billion (Q1 2026) and $1.75 billion (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 909.02 Bn | 886.77 Bn | - | 4,719.18 Bn |
| 2 | Banco Santander Chile | 406.67 Bn | -7,110.43 Bn | - | 69.48 Bn |
| 3 | Bank Of America | 350.91 Bn | -2,025.20 Bn | - | 3,130.96 Bn |
| 4 | Hsbc Holdings | 308.71 Bn | -2,966.46 Bn | - | 3,248.55 Bn |
| 5 | Morgan Stanley | 293.66 Bn | -249.15 Bn | - | 1,573.71 Bn |
| 6 | Royal Bank Of Canada | 283.56 Bn | -546.44 Bn | - | 1,679.93 Bn |
| 7 | Goldman Sachs | 262.71 Bn | -3,480.74 Bn | - | 2,055.50 Bn |
| 8 | Wells Fargo & Company | 257.44 Bn | 92.87 Bn | - | 2,075.41 Bn |
| 9 | Mitsubishi Ufj Financial | 256.82 Bn | -75.42 Bn | 10.89 Bn | 2,571.74 Bn |
| 10 | Timberland Bancorp | 375.82 Mn | 375.82 Mn | - | 1.79 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 1.79 Bn |
| Jun 30, 2026 | 1.79 Bn |
| Mar 31, 2026 | 1.78 Bn |
| Dec 31, 2025 | 1.74 Bn |
| Sep 30, 2025 | 1.75 Bn |
| Jun 30, 2025 | 1.70 Bn |
| Mar 31, 2025 | 1.68 Bn |
| Dec 31, 2024 | 1.66 Bn |
| Sep 30, 2024 | 1.68 Bn |
| Jun 30, 2024 | 1.66 Bn |
| Mar 31, 2024 | 1.67 Bn |
| Dec 31, 2023 | 1.66 Bn |
| Sep 30, 2023 | 1.61 Bn |
| Jun 30, 2023 | 1.58 Bn |
| Mar 31, 2023 | 1.56 Bn |
| Dec 31, 2022 | 1.61 Bn |
| Sep 30, 2022 | 1.64 Bn |
| Jun 30, 2022 | 1.67 Bn |
| Mar 31, 2022 | 1.67 Bn |
| Dec 31, 2021 | 1.62 Bn |
API Access
Timberland Bancorp Total Liabilities 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=total-liabilities&ticker=TSBK&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=TSBK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();