First Bancorp (FBNC) EBITDA (2011 - 2026)
First Bancorp's EBITDA was $103.32 million in Q2 2026, up 11.0% from $93.09 million a year earlier and up 6.4% from the prior quarter.
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Analysis
First Bancorp (FBNC) EBITDA (2011 - 2026) Analysis & Trends
On a trailing twelve-month basis, First Bancorp's EBITDA was $328.51 million through Jun 30, 2026, up 5.5% year-over-year; for FY2025, it came in at $310.99 million, up 3.8% from FY2024.
- EBITDA has now increased for five consecutive years, with a five-year compound annual growth rate of 18.6% (FY2020 to FY2025).
- In earlier years, EBITDA was $299.49 million in FY2024 (+3.3%), $289.86 million in FY2023 (+36.8%), $211.92 million in FY2022 (+51.8%) and $139.57 million in FY2021 (+5.3%).
- The Q2 2026 figure marks the highest quarterly EBITDA in data going back to Q1 2011.
- Compared with a year earlier, EBITDA has increased for three straight quarters, with an average decline of 1.3% over the last eight quarters.
- The best year-over-year quarter for EBITDA over five years was Q4 2022 (growth of 232.7%); the worst was Q4 2021 (a decline of 50.1%).
- Per Business Quant data, FBNC's EBITDA in the three quarters before Q2 2026 was $97.14 million (Q1 2026), $57.37 million (Q4 2025) and $70.67 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 Bancorp | 2.53 Bn | 2.53 Bn | - | 103.32 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 103.32 Mn |
| Mar 31, 2026 | 97.14 Mn |
| Dec 31, 2025 | 57.37 Mn |
| Sep 30, 2025 | 70.67 Mn |
| Jun 30, 2025 | 93.09 Mn |
| Mar 31, 2025 | 89.87 Mn |
| Dec 31, 2024 | 53.90 Mn |
| Sep 30, 2024 | 74.45 Mn |
| Jun 30, 2024 | 88.29 Mn |
| Mar 31, 2024 | 82.94 Mn |
| Dec 31, 2023 | 85.85 Mn |
| Sep 30, 2023 | 80.61 Mn |
| Jun 30, 2023 | 75.35 Mn |
| Mar 31, 2023 | 48.10 Mn |
| Dec 31, 2022 | 59.56 Mn |
| Sep 30, 2022 | 53.72 Mn |
| Jun 30, 2022 | 51.02 Mn |
| Mar 31, 2022 | 47.64 Mn |
| Dec 31, 2021 | 17.90 Mn |
| Sep 30, 2021 | 38.81 Mn |
API Access
First Bancorp 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=FBNC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "ticker": "FBNC", "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=FBNC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();