SR Bancorp (SRBK) Total Non-Current Liabilities (2022 - 2026)
SR Bancorp (SRBK) posted Total Non-Current Liabilities of $1 billion for fiscal Q4 2026 (quarter ended Jun 30, 2026), up 13.0% from $888.19 million a year earlier and up 5.0% from the prior quarter.
SR Bancorp (SRBK) Total Non-Current Liabilities (2022 - 2026) Analysis & Trends
Since fiscal Q4 2022, SR Bancorp has reported Total Non-Current Liabilities for 14 quarters.
- Annual Total Non-Current Liabilities has increased for four consecutive fiscal years, with a four-year compound annual growth rate of 17.5% (FY2022 to FY2026).
- In prior fiscal years, SR Bancorp's Total Non-Current Liabilities was $888.19 million in FY2025 (+8.6%), $817.73 million in FY2024 (+54.8%), $528.25 million in FY2023 (+0.4%) and $526.14 million in FY2022.
- The fiscal Q4 2026 figure stands as the highest quarterly Total Non-Current Liabilities in data going back to fiscal Q4 2022.
- On a year-over-year basis, Total Non-Current Liabilities has increased in each of the last six quarters, with growth averaging 5.6% over the last eight quarters.
- The strongest year-over-year quarter for Total Non-Current Liabilities in the past five years was fiscal Q4 2024, with growth of 54.8%; the weakest was fiscal Q1 2025, with a decline of 6.1%.
- According to Business Quant data, Total Non-Current Liabilities for the three prior fiscal quarters was $956.55 million (Q3 2026), $952.86 million (Q2 2026) and $916.07 million (Q1 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 879.54 Bn | 909.01 Bn | - | 4,639.66 Bn |
| 2 | Banco Santander Chile | 418.48 Bn | 538.42 Bn | - | 60,162.97 Bn |
| 3 | Bank Of America | 381.92 Bn | -1,994.15 Bn | - | 3,155.50 Bn |
| 4 | Hsbc Holdings | 341.10 Bn | 341.15 Bn | - | 381.20 Bn |
| 5 | Morgan Stanley | 295.71 Bn | -213.38 Bn | - | - |
| 6 | Royal Bank Of Canada | 275.38 Bn | 126.13 Bn | - | 1,603.10 Bn |
| 7 | Mitsubishi Ufj Financial | 273.79 Bn | -1,314.70 Bn | 10.89 Bn | 2,449.29 Bn |
| 8 | Goldman Sachs | 262.78 Bn | -3,294.34 Bn | - | 1,977.24 Bn |
| 9 | Wells Fargo & Company | 242.61 Bn | 244.75 Bn | - | - |
| 10 | SR Bancorp | 149.56 Mn | -125.73 Mn | - | 1.00 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.00 Bn |
| Mar 31, 2026 | 956.55 Mn |
| Dec 31, 2025 | 952.86 Mn |
| Sep 30, 2025 | 916.07 Mn |
| Jun 30, 2025 | 888.19 Mn |
| Mar 31, 2025 | 876.15 Mn |
| Dec 31, 2024 | 864.38 Mn |
| Sep 30, 2024 | 849.97 Mn |
| Jun 30, 2024 | 817.73 Mn |
| Mar 31, 2024 | 848.24 Mn |
| Dec 31, 2023 | 871.52 Mn |
| Sep 30, 2023 | 905.61 Mn |
| Jun 30, 2023 | 528.25 Mn |
| Jun 30, 2022 | 526.14 Mn |
SR Bancorp Total Non-Current 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-non-current-liabilities&ticker=SRBK&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-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-non-current-liabilities&ticker=SRBK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();