Peoples Financial Services (PFIS) Enterprise Value (2010 - 2026)
Peoples Financial Services' Enterprise Value was $405.39 million in Q2 2026, up 28.6% from $315.21 million a year earlier and up 100.5% from the prior quarter.
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Analysis
Peoples Financial Services (PFIS) Enterprise Value (2010 - 2026) Analysis & Trends
On a trailing twelve-month basis, Peoples Financial Services' Enterprise Value was -$380.25 million through Jun 30, 2026; for FY2025, it came in at $215.25 million, down 42.3% from FY2024.
- Enterprise Value shows a five-year compound annual growth rate of 42.3% (FY2020 to FY2025).
- In earlier years, Enterprise Value was $373.04 million in FY2024 (+140.0%), $155.43 million in FY2023 (-53.3%), $333.09 million in FY2022 (+241.0%) and $97.68 million in FY2021 (+164.7%).
- The Q2 2026 figure marks the highest quarterly Enterprise Value in data going back to Q4 2010.
- Compared with a year earlier, Enterprise Value was higher in six of the last eight quarters, with growth averaging 100.2%.
- The best year-over-year quarter for Enterprise Value over five years was Q3 2024 (growth of 546.5%); the worst was Q3 2023 (a decline of 87.5%).
- Per Business Quant data, PFIS's Enterprise Value in the three quarters before Q2 2026 was $202.19 million (Q1 2026), $215.25 million (Q4 2025) and $303.44 million (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 | Peoples Financial Services | 674.30 Mn | -370.34 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 405.39 Mn |
| Mar 31, 2026 | 202.19 Mn |
| Dec 31, 2025 | 215.25 Mn |
| Sep 30, 2025 | 303.44 Mn |
| Jun 30, 2025 | 315.21 Mn |
| Mar 31, 2025 | 364.90 Mn |
| Dec 31, 2024 | 373.04 Mn |
| Sep 30, 2024 | 179.16 Mn |
| Jun 30, 2024 | 271.35 Mn |
| Mar 31, 2024 | 194.18 Mn |
| Dec 31, 2023 | 155.43 Mn |
| Sep 30, 2023 | 27.71 Mn |
| Jun 30, 2023 | 175.46 Mn |
| Mar 31, 2023 | 169.32 Mn |
| Dec 31, 2022 | 333.09 Mn |
| Sep 30, 2022 | 222.39 Mn |
| Jun 30, 2022 | 353.02 Mn |
| Mar 31, 2022 | 220.75 Mn |
| Dec 31, 2021 | 97.68 Mn |
| Sep 30, 2021 | -33.68 Mn |
API Access
Peoples Financial Services Enterprise Value 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=enterprise-value&ticker=PFIS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "enterprise-value", "ticker": "PFIS", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=enterprise-value&ticker=PFIS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();