First National (FXNC) EBITDA (2010 - 2026)
First National (FXNC) reported EBITDA of $13.95 million for Q2 2026, down 0.8% from $14.07 million a year earlier but up 8.4% from the prior quarter.
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Analysis
First National (FXNC) EBITDA (2010 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, First National's EBITDA came in at $55.91 million, up 43.6% year-over-year; for FY2025, it was $52.72 million, up 53.6% from FY2024.
- EBITDA has increased for five consecutive years, with a five-year compound annual growth rate of 27.3% (FY2020 to FY2025).
- By year, EBITDA came in at $34.32 million in FY2024 (+23.8%), $27.73 million in FY2023 (+6.3%), $26.08 million in FY2022 (+56.6%) and $16.65 million in FY2021 (+5.7%).
- Five-year quarterly EBITDA spans a low of $3.63 million in Q4 2021 and a high of $14.76 million in Q3 2025.
- Year over year, EBITDA gained in six of the last eight quarters, with growth averaging 44.5%.
- The high point for year-over-year EBITDA in five years was Q4 2025 (growth of 125.7%); the low point was Q4 2023 (a decline of 53.9%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $12.88 million (Q1 2026), $14.32 million (Q4 2025) and $14.76 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 879.54 Bn | 909.01 Bn | - | 54.95 Bn |
| 2 | Banco Santander Chile | 418.48 Bn | 538.42 Bn | - | -1,174.27 Bn |
| 3 | Bank Of America | 381.92 Bn | -1,994.15 Bn | - | 30.01 Bn |
| 4 | Hsbc Holdings | 341.10 Bn | 341.15 Bn | - | - |
| 5 | Morgan Stanley | 295.71 Bn | -213.38 Bn | - | 21.67 Bn |
| 6 | Royal Bank Of Canada | 275.38 Bn | 126.13 Bn | - | 18.88 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 | - | 27.17 Bn |
| 9 | Wells Fargo & Company | 242.61 Bn | 244.75 Bn | - | 20.89 Bn |
| 10 | First National | 265.67 Mn | -438.51 Mn | - | 13.95 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 13.95 Mn |
| Mar 31, 2026 | 12.88 Mn |
| Dec 31, 2025 | 14.32 Mn |
| Sep 30, 2025 | 14.76 Mn |
| Jun 30, 2025 | 14.07 Mn |
| Mar 31, 2025 | 9.57 Mn |
| Dec 31, 2024 | 6.34 Mn |
| Sep 30, 2024 | 8.94 Mn |
| Jun 30, 2024 | 9.13 Mn |
| Mar 31, 2024 | 9.90 Mn |
| Dec 31, 2023 | 3.70 Mn |
| Sep 30, 2023 | 8.21 Mn |
| Jun 30, 2023 | 8.31 Mn |
| Mar 31, 2023 | 7.51 Mn |
| Dec 31, 2022 | 8.02 Mn |
| Sep 30, 2022 | 6.91 Mn |
| Jun 30, 2022 | 5.68 Mn |
| Mar 31, 2022 | 5.47 Mn |
| Dec 31, 2021 | 3.63 Mn |
| Sep 30, 2021 | 3.92 Mn |
API Access
First National 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=ebitda&ticker=FXNC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=FXNC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();