SR Bancorp (SRBK) Wages, Salaries and Other (2022 - 2026)
SR Bancorp (SRBK) posted Wages, Salaries and Other of $3.93 million for fiscal Q4 2026 (quarter ended Jun 30, 2026), up 8.3% from $3.63 million a year earlier but down 1.8% from the prior quarter.
SR Bancorp (SRBK) Wages, Salaries and Other (2022 - 2026) Analysis & Trends
For FY2026 (ended Jun 30, 2026), SR Bancorp's Wages, Salaries and Other came in at $15.71 million, up 12.9% from FY2025.
- Annual Wages, Salaries and Other shows a four-year compound annual growth rate of 25.3% (FY2022 to FY2026).
- In prior fiscal years, SR Bancorp's Wages, Salaries and Other was $13.92 million in FY2025 (-7.9%), $15.1 million in FY2024 (+93.9%), $7.79 million in FY2023 (+22.3%) and $6.37 million in FY2022.
- Quarterly Wages, Salaries and Other has run from a low of $1.76 million in fiscal Q4 2023 to a high of $4.54 million in fiscal Q1 2024 over five years.
- On a year-over-year basis, Wages, Salaries and Other has increased in each of the last six quarters, with growth averaging 3.9% over the last eight quarters.
- The strongest year-over-year quarter for Wages, Salaries and Other in the past five years was fiscal Q1 2024, with growth of 129.0%; the weakest was fiscal Q1 2025, with a decline of 28.7%.
- According to Business Quant data, Wages, Salaries and Other for the three prior fiscal quarters was $4 million (Q3 2026), $3.92 million (Q2 2026) and $3.85 million (Q1 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Wages (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 883.45 Bn | 912.92 Bn | - | 15.16 Bn |
| 2 | Banco Santander Chile | 401.52 Bn | 521.46 Bn | - | -104.91 Bn |
| 3 | Bank Of America | 377.43 Bn | -1,998.64 Bn | - | 10.99 Bn |
| 4 | Hsbc Holdings | 330.31 Bn | 330.37 Bn | - | - |
| 5 | Morgan Stanley | 299.17 Bn | -209.92 Bn | - | 8.19 Bn |
| 6 | Royal Bank Of Canada | 274.08 Bn | 124.82 Bn | - | - |
| 7 | Mitsubishi Ufj Financial | 270.70 Bn | -1,317.79 Bn | 10.89 Bn | - |
| 8 | Goldman Sachs | 263.13 Bn | -3,293.98 Bn | - | 6.10 Bn |
| 9 | Wells Fargo & Company | 243.64 Bn | 245.78 Bn | - | 8.85 Bn |
| 10 | SR Bancorp | 146.79 Mn | -128.50 Mn | - | 3.93 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 3.93 Mn |
| Mar 31, 2026 | 4.00 Mn |
| Dec 31, 2025 | 3.92 Mn |
| Sep 30, 2025 | 3.85 Mn |
| Jun 30, 2025 | 3.63 Mn |
| Mar 31, 2025 | 3.68 Mn |
| Dec 31, 2024 | 3.37 Mn |
| Sep 30, 2024 | 3.24 Mn |
| Jun 30, 2024 | 3.05 Mn |
| Mar 31, 2024 | 3.63 Mn |
| Dec 31, 2023 | 3.88 Mn |
| Sep 30, 2023 | 4.54 Mn |
| Jun 30, 2023 | 1.76 Mn |
| Mar 31, 2023 | 2.02 Mn |
| Dec 31, 2022 | 2.02 Mn |
| Sep 30, 2022 | 1.98 Mn |
SR Bancorp Wages, Salaries and Other 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=wages-salaries-and-other&ticker=SRBK&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "wages-salaries-and-other", "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=wages-salaries-and-other&ticker=SRBK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();