First National (FXNC) EV to CFO (2010 - 2026)
First National's (FXNC) EV to CFO was 3.49 for Q2 2026, up 75.5% from the prior quarter.
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Analysis
First National (FXNC) EV to CFO (2010 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, First National's EV to CFO came in at -14.32; for FY2025, it was 2.66.
- By year, EV to CFO came in at 2.99 in FY2023 (-25.3%), 4.01 in FY2022 (-78.0%) and 18.21 in FY2021 (+234.5%).
- The Q2 2026 figure ranks as the highest quarterly EV to CFO since Q1 2024.
- The high point for year-over-year EV to CFO in five years was Q4 2021 (growth of 234.5%); the low point was Q4 2022 (a decline of 78.0%).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Jpmorgan Chase | 909.02 Bn | 886.77 Bn | - |
| 2 | Banco Santander Chile | 406.67 Bn | -7,110.43 Bn | - |
| 3 | Bank Of America | 350.91 Bn | -2,025.20 Bn | - |
| 4 | Hsbc Holdings | 308.71 Bn | -2,966.46 Bn | - |
| 5 | Morgan Stanley | 293.66 Bn | -249.15 Bn | - |
| 6 | Royal Bank Of Canada | 283.56 Bn | -546.44 Bn | - |
| 7 | Goldman Sachs | 262.71 Bn | -3,480.74 Bn | - |
| 8 | Wells Fargo & Company | 257.44 Bn | 92.87 Bn | - |
| 9 | Mitsubishi Ufj Financial | 256.82 Bn | -75.42 Bn | 10.89 Bn |
| 10 | First National | 273.54 Mn | 273.54 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 3.49 |
| Mar 31, 2026 | 1.99 |
| Dec 31, 2025 | 2.66 |
| Sep 30, 2024 | -0.83 |
| Jun 30, 2024 | -2.39 |
| Mar 31, 2024 | 6.16 |
| Dec 31, 2023 | 2.99 |
| Sep 30, 2023 | 5.19 |
| Jun 30, 2023 | 4.62 |
| Mar 31, 2023 | 4.37 |
| Dec 31, 2022 | 3.65 |
| Sep 30, 2022 | 7.75 |
| Jun 30, 2022 | 5.50 |
| Mar 31, 2022 | 11.47 |
| Dec 31, 2021 | 17.28 |
| Sep 30, 2021 | 7.80 |
| Jun 30, 2021 | 9.41 |
| Mar 31, 2021 | 5.06 |
| Dec 31, 2020 | 4.35 |
| Sep 30, 2020 | 4.89 |
API Access
First National EV to CFO 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-cfo&ticker=FXNC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ev-to-cfo", "ticker": "FXNC", "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-cfo&ticker=FXNC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();