SR Bancorp (SRBK) Operating Expenses (2022 - 2026)
SR Bancorp (SRBK) reported Operating Expenses of $7.04 million for fiscal Q4 2026 (quarter ended Jun 30, 2026), up 5.5% from $6.67 million a year earlier but down 1.0% from the prior quarter.
SR Bancorp (SRBK) Operating Expenses (2022 - 2026) Analysis & Trends
For FY2026 (ended Jun 30, 2026), SR Bancorp posted Operating Expenses of $28.47 million, up 5.2% from FY2025.
- Operating Expenses has a four-year compound annual growth rate of 26.8% (FY2022 to FY2026).
- By fiscal year, Operating Expenses came in at $27.06 million in FY2025 (-21.8%), $34.58 million in FY2024 (+162.9%), $13.15 million in FY2023 (+19.4%) and $11.01 million in FY2022.
- Five-year quarterly Operating Expenses spans a low of $3.04 million in fiscal Q4 2023 and a high of $12.94 million in fiscal Q1 2024.
- Year over year, Operating Expenses has now increased in each of the last five quarters, with an average decline of 5.6% over the last eight quarters.
- The high point for year-over-year Operating Expenses in five years was fiscal Q1 2024 (growth of 284.0%); the low point was fiscal Q1 2025 (a decline of 47.3%).
- Per Business Quant data, the three fiscal quarters before Q4 2026 came in at $7.11 million (Q3 2026), $7.24 million (Q2 2026) and $7.09 million (Q1 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 879.54 Bn | 909.01 Bn | - | 27.32 Bn |
| 2 | Banco Santander Chile | 418.48 Bn | 538.42 Bn | - | -3,218.32 Bn |
| 3 | Bank Of America | 381.92 Bn | -1,994.15 Bn | - | 18.63 Bn |
| 4 | Hsbc Holdings | 341.10 Bn | 341.15 Bn | - | - |
| 5 | Morgan Stanley | 295.71 Bn | -213.38 Bn | - | 13.90 Bn |
| 6 | Royal Bank Of Canada | 275.38 Bn | 126.13 Bn | - | 7.02 Bn |
| 7 | Mitsubishi Ufj Financial | 273.79 Bn | -1,314.70 Bn | 10.89 Bn | 17.50 Bn |
| 8 | Goldman Sachs | 262.78 Bn | -3,294.34 Bn | - | 11.67 Bn |
| 9 | Wells Fargo & Company | 242.61 Bn | 244.75 Bn | - | 13.66 Bn |
| 10 | SR Bancorp | 149.56 Mn | -125.73 Mn | - | 7.04 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 7.04 Mn |
| Mar 31, 2026 | 7.11 Mn |
| Dec 31, 2025 | 7.24 Mn |
| Sep 30, 2025 | 7.09 Mn |
| Jun 30, 2025 | 6.67 Mn |
| Mar 31, 2025 | 7.06 Mn |
| Dec 31, 2024 | 6.51 Mn |
| Sep 30, 2024 | 6.82 Mn |
| Jun 30, 2024 | 6.60 Mn |
| Mar 31, 2024 | 7.57 Mn |
| Dec 31, 2023 | 7.48 Mn |
| Sep 30, 2023 | 12.94 Mn |
| Jun 30, 2023 | 3.04 Mn |
| Mar 31, 2023 | 3.41 Mn |
| Dec 31, 2022 | 3.33 Mn |
| Sep 30, 2022 | 3.37 Mn |
SR Bancorp Operating 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=operating-expenses&ticker=SRBK&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-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=operating-expenses&ticker=SRBK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();