First Bancorp (FBP) Provision for Losses (2010 - 2026)
First Bancorp's Provision for Losses was $17.33 million in Q2 2026, down 15.8% from $20.59 million a year earlier but up 0.3% from the prior quarter.
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Analysis
First Bancorp (FBP) Provision for Losses (2010 - 2026) Analysis & Trends
On a trailing twelve-month basis, First Bancorp's Provision for Losses was $75.17 million through Jun 30, 2026, down 7.8% year-over-year; for FY2025, it came in at $85.96 million, up 43.5% from FY2024.
- Provision for Losses shows a five-year compound annual growth rate of -12.8% (FY2020 to FY2025).
- In earlier years, Provision for Losses was $59.92 million in FY2024 (-1.7%), $60.94 million in FY2023 (+120.0%), $27.7 million in FY2022 and -$65.7 million in FY2021.
- Quarterly Provision for Losses has moved between -$13.8 million (Q1 2022) and $24.81 million (Q1 2025) over five years.
- Compared with a year earlier, Provision for Losses was higher in six of the last eight quarters, with growth averaging 52.3%.
- The best year-over-year quarter for Provision for Losses over five years was Q3 2024 (growth of 246.8%); the worst was Q3 2023 (a decline of 72.1%).
- Per Business Quant data, FBP's Provision for Losses in the three quarters before Q2 2026 was $17.27 million (Q1 2026), $22.97 million (Q4 2025) and $17.59 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Provision for Losses (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 918.91 Bn | 918.91 Bn | - | 2.74 Bn |
| 2 | Banco Santander Chile | 870.35 Bn | 846.93 Bn | - | - |
| 3 | Bank Of America | 358.55 Bn | -2,017.56 Bn | - | 1.30 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 | - | 368.00 Mn |
| 8 | Wells Fargo & Company | 258.79 Bn | 258.79 Bn | - | 1.03 Bn |
| 9 | Mitsubishi Ufj Financial | 247.94 Bn | 129.81 Bn | - | - |
| 10 | First Bancorp | 4.01 Bn | -15.70 Bn | - | 17.33 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 17.33 Mn |
| Mar 31, 2026 | 17.27 Mn |
| Dec 31, 2025 | 22.97 Mn |
| Sep 30, 2025 | 17.59 Mn |
| Jun 30, 2025 | 20.59 Mn |
| Mar 31, 2025 | 24.81 Mn |
| Dec 31, 2024 | 20.90 Mn |
| Sep 30, 2024 | 15.25 Mn |
| Jun 30, 2024 | 11.61 Mn |
| Mar 31, 2024 | 12.17 Mn |
| Dec 31, 2023 | 18.81 Mn |
| Sep 30, 2023 | 4.40 Mn |
| Jun 30, 2023 | 22.23 Mn |
| Mar 31, 2023 | 15.50 Mn |
| Dec 31, 2022 | 15.71 Mn |
| Sep 30, 2022 | 15.78 Mn |
| Jun 30, 2022 | 10.00 Mn |
| Mar 31, 2022 | -13.80 Mn |
| Dec 31, 2021 | -12.21 Mn |
| Sep 30, 2021 | -12.08 Mn |
API Access
First Bancorp Provision for Losses 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=provision-for-losses&ticker=FBP&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "provision-for-losses", "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=provision-for-losses&ticker=FBP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();