First Bancorp /Pr/ (FBP) Occupancy Expense (2010 - 2026)
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Analysis
First Bancorp /Pr/ (FBP) Occupancy Expense (2010 - 2026) Analysis & Trends
Peer Set
Peer Comparison
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 22.11 Mn |
| Mar 31, 2026 | 22.06 Mn |
| Dec 31, 2025 | 21.80 Mn |
| Sep 30, 2025 | 22.19 Mn |
| Jun 30, 2025 | 22.30 Mn |
| Mar 31, 2025 | 22.63 Mn |
| Dec 31, 2024 | 22.77 Mn |
| Sep 30, 2024 | 22.42 Mn |
| Jun 30, 2024 | 21.85 Mn |
| Mar 31, 2024 | 21.38 Mn |
| Dec 31, 2023 | 21.85 Mn |
| Sep 30, 2023 | 21.78 Mn |
| Jun 30, 2023 | 21.10 Mn |
| Mar 31, 2023 | 21.19 Mn |
| Dec 31, 2022 | 21.84 Mn |
| Sep 30, 2022 | 22.54 Mn |
| Jun 30, 2022 | 21.51 Mn |
| Mar 31, 2022 | 22.39 Mn |
| Dec 31, 2021 | 21.59 Mn |
| Sep 30, 2021 | 23.31 Mn |
API Access
First Bancorp /Pr/ Occupancy 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=occupancy-expense&ticker=FBP&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "occupancy-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=occupancy-expense&ticker=FBP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();