First Bancorp /Pr/ (FBP) Provision for Credit Losses (2010 - 2026)
Powered by 
Analysis
First Bancorp /Pr/ (FBP) Provision for Credit Losses (2010 - 2026) Analysis & Trends
Peer Set
Peer Comparison
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 17.33 Mn |
| Mar 31, 2026 | 17.27 Mn |
| Dec 31, 2025 | 22.47 Mn |
| Sep 30, 2025 | 18.27 Mn |
| Jun 30, 2025 | 20.59 Mn |
| Mar 31, 2025 | 24.84 Mn |
| Dec 31, 2024 | 21.54 Mn |
| Sep 30, 2024 | 16.47 Mn |
| Jun 30, 2024 | 11.93 Mn |
| Mar 31, 2024 | 12.92 Mn |
| Dec 31, 2023 | 18.98 Mn |
| Sep 30, 2023 | 10.64 Mn |
| Jun 30, 2023 | 22.23 Mn |
| Mar 31, 2023 | 16.26 Mn |
| Dec 31, 2022 | 17.67 Mn |
| Sep 30, 2022 | 15.78 Mn |
| Jun 30, 2022 | 12.67 Mn |
| Mar 31, 2022 | -16.99 Mn |
| Dec 31, 2021 | -12.24 Mn |
| Sep 30, 2021 | -12.08 Mn |
API Access
First Bancorp /Pr/ Provision for Credit 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-credit-losses&ticker=FBP&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "provision-for-credit-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-credit-losses&ticker=FBP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();