SR Bancorp (SRBK) Non Operating Interest Expenses (2022 - 2024)
SR Bancorp's Non Operating Interest Expenses was $70,000 in FY2026 (year ended Jun 30, 2026), up 18.6% from $59,000 in FY2025.
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Analysis
SR Bancorp (SRBK) Non Operating Interest Expenses (2022 - 2024) Analysis & Trends
From FY2022 onward, SR Bancorp has reported Non Operating Interest Expenses for 5 fiscal years.
- Non Operating Interest Expenses shows a four-year compound annual growth rate of -53.8% (FY2022 to FY2026).
- The FY2026 figure marks the highest annual Non Operating Interest Expenses since FY2023.
- Per Business Quant data, Non Operating Interest Expenses in earlier fiscal years was $59,000 in FY2025 (+3.5%), $57,000 in FY2024 (-97.7%), $2.43 million in FY2023 (+58.2%) and $1.54 million in FY2022.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non Operating Interest Expenses (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 879.54 Bn | 909.01 Bn | - | - |
| 2 | Banco Santander Chile | 418.48 Bn | 538.42 Bn | - | -538.61 Bn |
| 3 | Bank Of America | 381.92 Bn | -1,994.15 Bn | - | - |
| 4 | Hsbc Holdings | 341.10 Bn | 341.15 Bn | - | - |
| 5 | Morgan Stanley | 295.71 Bn | -213.38 Bn | - | - |
| 6 | Royal Bank Of Canada | 275.38 Bn | 126.13 Bn | - | 12.80 Bn |
| 7 | Mitsubishi Ufj Financial | 273.79 Bn | -1,314.70 Bn | 10.89 Bn | 9.12 Bn |
| 8 | Goldman Sachs | 262.78 Bn | -3,294.34 Bn | - | - |
| 9 | Wells Fargo & Company | 242.61 Bn | 244.75 Bn | - | - |
| 10 | SR Bancorp | 149.56 Mn | -125.73 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2024 | -7.99 Mn |
| Mar 31, 2024 | 3.38 Mn |
| Dec 31, 2023 | 3.27 Mn |
| Sep 30, 2023 | 1.40 Mn |
| Jun 30, 2023 | 1.08 Mn |
| Mar 31, 2023 | 613,000.00 |
| Dec 31, 2022 | 442,000.00 |
| Sep 30, 2022 | 290,000.00 |
API Access
SR Bancorp Non Operating Interest Expenses 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=non-operating-interest-expenses&ticker=SRBK&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-operating-interest-expenses", "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=non-operating-interest-expenses&ticker=SRBK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();