PFS Bancorp (PFSB) Price to Earnings (2023 - 2026)
PFS Bancorp's (PFSB) Price to Earnings stood at 16.85 in Q2 2026, up 1.2% from 16.65 a year earlier and up 13.2% from the prior quarter.
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Analysis
PFS Bancorp (PFSB) Price to Earnings (2023 - 2026) Analysis & Trends
For FY2025, PFS Bancorp's Price to Earnings came in at 14.59, down 29.2% from FY2024.
- Across earlier years, Price to Earnings came in at 20.60 in FY2024 (+30.4%) and 15.80 in FY2023.
- The Q2 2026 figure is the highest quarterly Price to Earnings since Q1 2025.
- On a year-over-year basis, Price to Earnings rose in five of the last seven quarters, with growth averaging 5.2%.
- Per Business Quant, the preceding three quarters came in at 14.89 (Q1 2026), 14.59 (Q4 2025) and 15.92 (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Jpmorgan Chase | 883.45 Bn | 912.92 Bn | - |
| 2 | Banco Santander Chile | 401.52 Bn | 521.46 Bn | - |
| 3 | Bank Of America | 377.43 Bn | -1,998.64 Bn | - |
| 4 | Hsbc Holdings | 330.31 Bn | 330.37 Bn | - |
| 5 | Morgan Stanley | 299.17 Bn | -209.92 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 | - |
| 9 | Wells Fargo & Company | 243.64 Bn | 245.78 Bn | - |
| 10 | PFS Bancorp | 35.72 Mn | 35.72 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 16.85 |
| Mar 31, 2026 | 14.89 |
| Dec 31, 2025 | 14.59 |
| Sep 30, 2025 | 15.92 |
| Jun 30, 2025 | 16.65 |
| Mar 31, 2025 | 18.80 |
| Dec 31, 2024 | 20.60 |
| Sep 30, 2024 | 15.87 |
| Jun 30, 2024 | 13.90 |
| Mar 31, 2024 | 13.97 |
| Dec 31, 2023 | 15.80 |
API Access
PFS Bancorp Price to Earnings 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-earnings&ticker=PFSB&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-earnings", "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-earnings&ticker=PFSB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();