PFS Bancorp (PFSB) EV to EBITDA (2023 - 2026)
PFS Bancorp's EV to EBITDA was 13.20 in Q2 2026, up 8.1% from 12.21 a year earlier and up 16.0% from the prior quarter.
Analysis
PFS Bancorp (PFSB) EV to EBITDA (2023 - 2026) Analysis & Trends
For FY2025, EV to EBITDA at PFS Bancorp came in at 8.51, down 7.7% from FY2024.
- In earlier years, EV to EBITDA was 9.22 in FY2024 and -3.06 in FY2023.
- The Q2 2026 figure marks the highest quarterly EV to EBITDA since Q1 2025.
- Compared with a year earlier, EV to EBITDA was higher in three of the last six quarters, with growth averaging 6.6%.
- Per Business Quant data, PFSB's EV to EBITDA in the three quarters before Q2 2026 was 11.38 (Q1 2026), 8.50 (Q4 2025) and 11.46 (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 | 13.20 |
| Mar 31, 2026 | 11.38 |
| Dec 31, 2025 | 8.50 |
| Sep 30, 2025 | 11.46 |
| Jun 30, 2025 | 12.21 |
| Mar 31, 2025 | 13.36 |
| Dec 31, 2024 | 9.22 |
| Sep 30, 2024 | 11.56 |
| Jun 30, 2024 | 9.92 |
| Mar 31, 2024 | 10.14 |
| Dec 31, 2023 | -3.06 |
API Access
PFS Bancorp EV to EBITDA 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=ev-to-ebitda&ticker=PFSB&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ev-to-ebitda", "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=ev-to-ebitda&ticker=PFSB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();