PFS Bancorp (PFSB) Price to Earnings (2023 - 2026)
PFS Bancorp's (PFSB) Price to Earnings stood at 21.00 in Q3 2026, up 31.9% from 15.92 a year earlier and up 24.6% 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 Q3 2026 figure is the highest quarterly Price to Earnings in data going back to Q4 2023.
- On a year-over-year basis, Price to Earnings rose in six of the last eight quarters, with growth averaging 8.5%.
- Peak year-over-year performance for Price to Earnings in the last five years was growth of 34.6% in Q1 2025, against a decline of 29.2% in Q4 2025 at the low end.
- Per Business Quant, the preceding three quarters came in at 16.85 (Q2 2026), 14.89 (Q1 2026) and 14.59 (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Jpmorgan Chase | 920.14 Bn | 897.90 Bn | - |
| 2 | Banco Santander Chile | 407.42 Bn | -7,109.68 Bn | - |
| 3 | Bank Of America | 353.20 Bn | -2,022.91 Bn | - |
| 4 | Hsbc Holdings | 307.88 Bn | -2,967.28 Bn | - |
| 5 | Morgan Stanley | 298.41 Bn | -244.41 Bn | - |
| 6 | Royal Bank Of Canada | 283.46 Bn | -546.54 Bn | - |
| 7 | Goldman Sachs | 264.45 Bn | -3,478.99 Bn | - |
| 8 | Mitsubishi Ufj Financial | 259.19 Bn | -159.36 Bn | 5.24 Bn |
| 9 | Wells Fargo & Company | 258.28 Bn | 93.72 Bn | - |
| 10 | PFS Bancorp | 31.95 Mn | 25.15 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 21.00 |
| 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();