PFS Bancorp (PFSB) EV to EBITDA (2023 - 2026)
PFS Bancorp's EV to EBITDA was 15.93 in Q3 2026, up 42.1% from 11.21 a year earlier and up 21.9% from the prior quarter.
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Analysis
PFS Bancorp (PFSB) EV to EBITDA (2023 - 2026) Analysis & Trends
On a trailing twelve-month basis, PFS Bancorp's EV to EBITDA was 12.96 through Sep 30, 2026, up 96.8% year-over-year; for FY2025, it was 8.32, down 7.1% from FY2024.
- In earlier years, EV to EBITDA was 8.96 in FY2024 and -3.14 in FY2023.
- The Q3 2026 figure marks the highest quarterly EV to EBITDA in data going back to Q4 2023.
- Compared with a year earlier, EV to EBITDA was higher in four of the last seven quarters, with growth averaging 11.5%.
- Per Business Quant data, PFSB's EV to EBITDA in the three quarters before Q3 2026 was 13.07 (Q2 2026), 11.25 (Q1 2026) and 8.31 (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 | 15.93 |
| Jun 30, 2026 | 13.07 |
| Mar 31, 2026 | 11.25 |
| Dec 31, 2025 | 8.31 |
| Sep 30, 2025 | 11.21 |
| Jun 30, 2025 | 11.97 |
| Mar 31, 2025 | 13.11 |
| Dec 31, 2024 | 8.97 |
| Sep 30, 2024 | 11.45 |
| Jun 30, 2024 | 9.82 |
| Mar 31, 2024 | 10.04 |
| Dec 31, 2023 | -3.14 |
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_KEYimport 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();