First Bancorp /Pr/ (FBP) Other Non-Interest Expense (2010 - 2026)
Analysis
First Bancorp /Pr/ (FBP) Other Non-Interest Expense (2010 - 2026) Analysis & Trends
Peer Set
Peer Comparison
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 19.83 Mn |
| Mar 31, 2026 | 18.93 Mn |
| Dec 31, 2025 | 19.58 Mn |
| Sep 30, 2025 | 22.63 Mn |
| Jun 30, 2025 | 21.44 Mn |
| Mar 31, 2025 | 19.01 Mn |
| Dec 31, 2024 | 20.49 Mn |
| Sep 30, 2024 | 20.44 Mn |
| Jun 30, 2024 | 18.01 Mn |
| Mar 31, 2024 | 18.32 Mn |
| Dec 31, 2023 | 20.61 Mn |
| Sep 30, 2023 | 18.18 Mn |
| Jun 30, 2023 | 17.61 Mn |
| Mar 31, 2023 | 17.36 Mn |
| Dec 31, 2022 | 16.72 Mn |
| Sep 30, 2022 | 18.28 Mn |
| Jun 30, 2022 | 16.00 Mn |
| Mar 31, 2022 | 16.84 Mn |
| Dec 31, 2021 | 17.09 Mn |
| Sep 30, 2021 | 17.69 Mn |
API Access
First Bancorp /Pr/ Other Non-Interest Expense 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-non-interest-expense&ticker=FBP&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-non-interest-expense", "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-non-interest-expense&ticker=FBP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();