First Bancorp (FBP) EV to EBITDA (2011 - 2026)
First Bancorp's EV to EBITDA was -1.37 in Q2 2026, compared with -2.15 a year earlier.
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Analysis
First Bancorp (FBP) EV to EBITDA (2011 - 2026) Analysis & Trends
On a trailing twelve-month basis, First Bancorp's EV to EBITDA was -22.10 through Jun 30, 2026; for FY2025, it was -2.33.
- In earlier years, EV to EBITDA was -2.68 in FY2024, -4.36 in FY2023, -6.88 in FY2022 and 5.25 in FY2021 (-36.6%).
- The Q2 2026 figure marks the highest quarterly EV to EBITDA since Q2 2023.
- Per Business Quant data, FBP's EV to EBITDA in the three quarters before Q2 2026 was -2.39 (Q1 2026), -2.33 (Q4 2025) and -2.04 (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Jpmorgan Chase | 918.91 Bn | 918.91 Bn | - |
| 2 | Banco Santander Chile | 870.35 Bn | 846.93 Bn | - |
| 3 | Bank Of America | 358.55 Bn | -2,017.56 Bn | - |
| 4 | Hsbc Holdings | 315.74 Bn | -668.95 Bn | - |
| 5 | Morgan Stanley | 290.88 Bn | -253.14 Bn | - |
| 6 | Royal Bank Of Canada | 287.92 Bn | 137.98 Bn | - |
| 7 | Goldman Sachs | 270.57 Bn | -3,472.88 Bn | - |
| 8 | Wells Fargo & Company | 258.79 Bn | 258.79 Bn | - |
| 9 | Mitsubishi Ufj Financial | 247.94 Bn | 129.81 Bn | - |
| 10 | First Bancorp | 4.01 Bn | -15.70 Bn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -1.37 |
| Mar 31, 2026 | -2.39 |
| Dec 31, 2025 | -2.33 |
| Sep 30, 2025 | -2.04 |
| Jun 30, 2025 | -2.15 |
| Mar 31, 2025 | -2.21 |
| Dec 31, 2024 | -2.68 |
| Sep 30, 2024 | -2.60 |
| Jun 30, 2024 | -3.38 |
| Mar 31, 2024 | -3.73 |
| Dec 31, 2023 | -4.36 |
| Sep 30, 2023 | -5.10 |
| Jun 30, 2023 | 3.77 |
| Mar 31, 2023 | 3.72 |
| Dec 31, 2022 | -6.88 |
| Sep 30, 2022 | 4.69 |
| Jun 30, 2022 | 4.49 |
| Mar 31, 2022 | 4.67 |
| Dec 31, 2021 | 5.25 |
| Sep 30, 2021 | 5.58 |
API Access
First 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=FBP&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ev-to-ebitda", "ticker": "FBP", "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=FBP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();