First Bancorp /Pr/ (FBP) Other Operating Activities (2010 - 2026)
Analysis
First Bancorp /Pr/ (FBP) Other Operating Activities (2010 - 2026) Analysis & Trends
Peer Set
Peer Comparison
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 26.99 Mn |
| Mar 31, 2026 | 34.94 Mn |
| Dec 31, 2025 | 37.41 Mn |
| Sep 30, 2025 | 32.82 Mn |
| Jun 30, 2025 | 48.51 Mn |
| Mar 31, 2025 | 47.55 Mn |
| Dec 31, 2024 | 49.54 Mn |
| Sep 30, 2024 | 41.27 Mn |
| Jun 30, 2024 | 44.60 Mn |
| Mar 31, 2024 | 33.37 Mn |
| Dec 31, 2023 | 22.85 Mn |
| Sep 30, 2023 | 44.52 Mn |
| Jun 30, 2023 | 53.47 Mn |
| Mar 31, 2023 | 36.65 Mn |
| Dec 31, 2022 | 32.18 Mn |
| Sep 30, 2022 | 46.67 Mn |
| Jun 30, 2022 | 58.72 Mn |
| Mar 31, 2022 | 91.24 Mn |
| Dec 31, 2021 | 112.77 Mn |
| Sep 30, 2021 | 105.63 Mn |
API Access
First Bancorp /Pr/ Other Operating Activities 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=other-operating-activities&ticker=FBP&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-operating-activities", "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=other-operating-activities&ticker=FBP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();