PFS Bancorp (PFSB) Price to Book (2023 - 2026)
PFS Bancorp's (PFSB) Price to Book was 0.73 for Q2 2026, up 53.3% from 0.48 a year earlier and up 11.9% from the prior quarter.
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Analysis
PFS Bancorp (PFSB) Price to Book (2023 - 2026) Analysis & Trends
For FY2025, Price to Book at PFS Bancorp was 0.62, up 22.8% from FY2024.
- By year, Price to Book came in at 0.51 in FY2024 (+14.7%) and 0.44 in FY2023.
- The Q2 2026 figure ranks as the highest quarterly Price to Book in data going back to Q4 2023.
- Year over year, Price to Book has now increased in each of the last seven quarters, with growth averaging 24.0% over the last seven quarters.
- Per Business Quant data, the three quarters before Q2 2026 came in at 0.65 (Q1 2026), 0.62 (Q4 2025) and 0.52 (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Jpmorgan Chase | 879.54 Bn | 909.01 Bn | - |
| 2 | Banco Santander Chile | 418.48 Bn | 538.42 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 | - |
| 7 | Mitsubishi Ufj Financial | 273.79 Bn | -1,314.70 Bn | 10.89 Bn |
| 8 | Goldman Sachs | 262.78 Bn | -3,294.34 Bn | - |
| 9 | Wells Fargo & Company | 242.61 Bn | 244.75 Bn | - |
| 10 | PFS Bancorp | 35.82 Mn | 35.82 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 0.73 |
| Mar 31, 2026 | 0.65 |
| Dec 31, 2025 | 0.62 |
| Sep 30, 2025 | 0.52 |
| Jun 30, 2025 | 0.48 |
| Mar 31, 2025 | 0.46 |
| Dec 31, 2024 | 0.51 |
| Sep 30, 2024 | 0.45 |
| Jun 30, 2024 | 0.43 |
| Mar 31, 2024 | 0.42 |
| Dec 31, 2023 | 0.44 |
API Access
PFS 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=PFSB&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-book", "ticker": "PFSB", "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=PFSB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();