First Bancorp (FNLC) Provision for Losses (2009 - 2026)
First Bancorp (FNLC) recorded Provision for Losses of $935,000 in Q2 2026, up 92.4% from $486,000 a year earlier and up 50.8% from the prior quarter.
First Bancorp (FNLC) Provision for Losses (2009 - 2026) Analysis & Trends
On a TTM basis, First Bancorp's Provision for Losses came in at $2.53 million as of Jun 30, 2026, up 80.0% year-over-year; for FY2025, it came in at $1.85 million, up 252.4% from FY2024.
- Annual Provision for Losses has a five-year compound annual growth rate of -21.1% (FY2020 to FY2025).
- Across earlier years, Provision for Losses came in at $525,000 in FY2024 (-55.7%), $1.18 million in FY2023 (-32.3%), $1.75 million in FY2022 and -$375,000 in FY2021.
- The Q2 2026 figure is the highest quarterly Provision for Losses since Q4 2024.
- On a year-over-year basis, Provision for Losses rose in three of the last five quarters, with growth averaging 27.9%.
- Peak year-over-year performance for Provision for Losses in the last five years was growth of 239.1% in Q2 2024, against a decline of 76.6% in Q4 2025 at the low end.
- Per Business Quant, the preceding three quarters came in at $620,000 (Q1 2026), $272,000 (Q4 2025) and $700,000 (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Provision for Losses (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 909.02 Bn | 886.77 Bn | - | 2.74 Bn |
| 2 | Banco Santander Chile | 406.67 Bn | -7,110.43 Bn | - | - |
| 3 | Bank Of America | 350.91 Bn | -2,025.20 Bn | - | 1.30 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 | - | 717.20 Mn |
| 7 | Goldman Sachs | 262.71 Bn | -3,480.74 Bn | - | 368.00 Mn |
| 8 | Wells Fargo & Company | 257.44 Bn | 92.87 Bn | - | 1.03 Bn |
| 9 | Mitsubishi Ufj Financial | 256.82 Bn | -75.42 Bn | 10.89 Bn | - |
| 10 | First Bancorp | 417.68 Mn | 304.42 Mn | - | 979,000.00 |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 979,000.00 |
| Jun 30, 2026 | 935,000.00 |
| Mar 31, 2026 | 620,000.00 |
| Dec 31, 2025 | 272,000.00 |
| Sep 30, 2025 | 700,000.00 |
| Jun 30, 2025 | 486,000.00 |
| Mar 31, 2025 | 392,000.00 |
| Dec 31, 2024 | 1.16 Mn |
| Sep 30, 2024 | -638,000.00 |
| Jun 30, 2024 | 512,000.00 |
| Mar 31, 2024 | -513,000.00 |
| Dec 31, 2023 | 683,000.00 |
| Sep 30, 2023 | -200,000.00 |
| Jun 30, 2023 | 151,000.00 |
| Mar 31, 2023 | 550,000.00 |
| Dec 31, 2022 | 450,000.00 |
| Sep 30, 2022 | 400,000.00 |
| Jun 30, 2022 | 450,000.00 |
| Mar 31, 2022 | 450,000.00 |
| Dec 31, 2021 | -1.95 Mn |
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=FNLC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "provision-for-losses", "ticker": "FNLC", "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=FNLC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();