SR Bancorp (SRBK) Professional Fees (2022 - 2026)
SR Bancorp (SRBK) reported Professional Fees of $453,000 for fiscal Q1 2027 (quarter ended Sep 30, 2026), up 3.7% from $437,000 a year earlier and up 38.1% from the prior quarter.
SR Bancorp (SRBK) Professional Fees (2022 - 2026) Analysis & Trends
Over the twelve months ended Sep 30, 2026, SR Bancorp's Professional Fees came in at $1.71 million, down 5.1% year-over-year; for FY2026 (ended Jun 30, 2026), it came in at $1.69 million, down 8.6% from FY2025.
- Professional Fees has a four-year compound annual growth rate of 42.4% (FY2022 to FY2026).
- By fiscal year, Professional Fees came in at $1.85 million in FY2025 (-7.3%), $2 million in FY2024 (+94.3%), $1.03 million in FY2023 (+149.8%) and $412,000 in FY2022.
- Five-year quarterly Professional Fees spans a low of $115,000 in fiscal Q4 2023 and a high of $854,000 in fiscal Q1 2024.
- Year over year, Professional Fees gained in four of the last eight quarters, with growth averaging 9.3%.
- The high point for year-over-year Professional Fees in five years was fiscal Q1 2024 (growth of 181.8%); the low point was fiscal Q1 2025 (a decline of 42.7%).
- Per Business Quant data, the three fiscal quarters before Q1 2027 came in at $328,000 (Q4 2026), $421,000 (Q3 2026) and $508,000 (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Professional Fees (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 909.02 Bn | 886.77 Bn | - | 3.90 Bn |
| 2 | Banco Santander Chile | 406.67 Bn | -7,110.43 Bn | - | - |
| 3 | Bank Of America | 350.91 Bn | -2,025.20 Bn | - | 606.00 Mn |
| 4 | Hsbc Holdings | 308.71 Bn | -2,966.46 Bn | - | - |
| 5 | Morgan Stanley | 293.66 Bn | -249.15 Bn | - | 700.00 Mn |
| 6 | Royal Bank Of Canada | 283.56 Bn | -546.44 Bn | - | 411.67 Mn |
| 7 | Goldman Sachs | 262.71 Bn | -3,480.74 Bn | - | 424.00 Mn |
| 8 | Wells Fargo & Company | 257.44 Bn | 92.87 Bn | - | 1.17 Bn |
| 9 | Mitsubishi Ufj Financial | 256.82 Bn | -75.42 Bn | 10.89 Bn | - |
| 10 | SR Bancorp | 149.96 Mn | 149.96 Mn | - | 453,000.00 |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 453,000.00 |
| Jun 30, 2026 | 328,000.00 |
| Mar 31, 2026 | 421,000.00 |
| Dec 31, 2025 | 508,000.00 |
| Sep 30, 2025 | 437,000.00 |
| Jun 30, 2025 | 431,000.00 |
| Mar 31, 2025 | 467,000.00 |
| Dec 31, 2024 | 467,000.00 |
| Sep 30, 2024 | 489,000.00 |
| Jun 30, 2024 | 224,000.00 |
| Mar 31, 2024 | 357,000.00 |
| Dec 31, 2023 | 564,000.00 |
| Sep 30, 2023 | 854,000.00 |
| Jun 30, 2023 | 115,000.00 |
| Mar 31, 2023 | 358,000.00 |
| Dec 31, 2022 | 253,000.00 |
| Sep 30, 2022 | 303,000.00 |
SR Bancorp Professional Fees 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=professional-fees&ticker=SRBK&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "professional-fees", "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=professional-fees&ticker=SRBK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();