SR Bancorp (SRBK) Price to Book (2023 - 2026)
SR Bancorp's (SRBK) Price to Book stood at 0.82 in fiscal Q1 2027 (quarter ended Sep 30, 2026), up 20.3% from 0.68 a year earlier but down 4.5% from the prior quarter.
SR Bancorp (SRBK) Price to Book (2023 - 2026) Analysis & Trends
For FY2026 (ended Jun 30, 2026), SR Bancorp's Price to Book came in at 0.86, up 38.9% from FY2025.
- Across earlier fiscal years, Price to Book came in at 0.62 in FY2025 (+80.1%) and 0.34 in FY2024.
- Quarterly Price to Book has ranged from 0.05 in fiscal Q1 2024 to 0.86 in fiscal Q4 2026 over the past five years.
- On a year-over-year basis, Price to Book has increased for nine consecutive quarters, with growth averaging 34.3% over the last eight quarters.
- Across the past five years, year-over-year growth in Price to Book ran from 20.3% in fiscal Q1 2027 to 937.0% in fiscal Q1 2025.
- Per Business Quant, the preceding three fiscal quarters came in at 0.86 (Q4 2026), 0.75 (Q3 2026) and 0.70 (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Jpmorgan Chase | 909.02 Bn | 886.77 Bn | - |
| 2 | Banco Santander Chile | 406.67 Bn | -7,110.43 Bn | - |
| 3 | Bank Of America | 350.91 Bn | -2,025.20 Bn | - |
| 4 | Hsbc Holdings | 308.71 Bn | -2,966.46 Bn | - |
| 5 | Morgan Stanley | 293.66 Bn | -249.15 Bn | - |
| 6 | Royal Bank Of Canada | 283.56 Bn | -546.44 Bn | - |
| 7 | Goldman Sachs | 262.71 Bn | -3,480.74 Bn | - |
| 8 | Wells Fargo & Company | 257.44 Bn | 92.87 Bn | - |
| 9 | Mitsubishi Ufj Financial | 256.82 Bn | -75.42 Bn | 10.89 Bn |
| 10 | SR Bancorp | 149.96 Mn | 149.96 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 0.82 |
| Jun 30, 2026 | 0.86 |
| Mar 31, 2026 | 0.75 |
| Dec 31, 2025 | 0.70 |
| Sep 30, 2025 | 0.68 |
| Jun 30, 2025 | 0.62 |
| Mar 31, 2025 | 0.56 |
| Dec 31, 2024 | 0.56 |
| Sep 30, 2024 | 0.52 |
| Jun 30, 2024 | 0.34 |
| Mar 31, 2024 | 0.45 |
| Dec 31, 2023 | 0.46 |
| Sep 30, 2023 | 0.05 |
SR Bancorp Price to Book 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=price-to-book&ticker=SRBK&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-book", "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=price-to-book&ticker=SRBK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();