SR Bancorp (SRBK) Total Liabilities (2022 - 2026)
SR Bancorp's Total Liabilities came in at $1.03 billion for fiscal Q1 2027 (quarter ended Sep 30, 2026), up 12.6% from $918.16 million a year earlier and up 2.3% from the prior quarter.
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Analysis
SR Bancorp (SRBK) Total Liabilities (2022 - 2026) Analysis & Trends
At the end of FY2026 (ended Jun 30, 2026), SR Bancorp's Total Liabilities was $1.01 billion, up 13.2% from FY2025.
- Total Liabilities has increased in each of the last three fiscal years, with a four-year compound annual growth rate of 17.5% (FY2022 to FY2026).
- Going back by fiscal year, Total Liabilities was $892.67 million in FY2025 (+8.7%), $821.36 million in FY2024 (+55.1%), $529.4 million in FY2023 (-0.2%) and $530.4 million in FY2022.
- The fiscal Q1 2027 figure represents the highest quarterly Total Liabilities in data going back to fiscal Q4 2022.
- Year-over-year, Total Liabilities has increased for seven consecutive quarters, with growth averaging 7.9% over the last eight quarters.
- The fastest year-over-year change in Total Liabilities over five years came in fiscal Q4 2024 (growth of 55.1%), and the weakest in fiscal Q1 2025 (a decline of 6.7%).
- Business Quant data shows SRBK's Total Liabilities at $1.01 billion (Q4 2026), $959 million (Q3 2026) and $954.51 million (Q2 2026) in the three fiscal quarters before Q1 2027.
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 | SR Bancorp | 149.96 Mn | 149.96 Mn | - | 1.03 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 1.03 Bn |
| Jun 30, 2026 | 1.01 Bn |
| Mar 31, 2026 | 959.00 Mn |
| Dec 31, 2025 | 954.51 Mn |
| Sep 30, 2025 | 918.16 Mn |
| Jun 30, 2025 | 892.67 Mn |
| Mar 31, 2025 | 878.84 Mn |
| Dec 31, 2024 | 866.36 Mn |
| Sep 30, 2024 | 852.42 Mn |
| Jun 30, 2024 | 821.36 Mn |
| Mar 31, 2024 | 853.55 Mn |
| Dec 31, 2023 | 876.96 Mn |
| Sep 30, 2023 | 913.97 Mn |
| Jun 30, 2023 | 529.40 Mn |
| Jun 30, 2022 | 530.40 Mn |
API Access
SR 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=SRBK&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "ticker": "SRBK", "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=SRBK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();