First Bancorp (FBP) Occupancy Expense (2010 - 2026)
First Bancorp's Occupancy Expense came in at $22.11 million for Q2 2026, down 0.8% from $22.3 million a year earlier but up 0.2% from the prior quarter.
First Bancorp (FBP) Occupancy Expense (2010 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, First Bancorp reported Occupancy Expense of $88.15 million, down 2.2% year-over-year; for FY2025, it came in at $88.91 million, up 0.5% from FY2024.
- Occupancy Expense carries a five-year compound annual growth rate of 3.6% (FY2020 to FY2025).
- Going back by year, Occupancy Expense was $88.43 million in FY2024 (+2.9%), $85.91 million in FY2023 (-2.7%), $88.28 million in FY2022 (-5.3%) and $93.25 million in FY2021 (+24.9%).
- The five-year range for quarterly Occupancy Expense is $21.1 million (Q2 2023) to $23.31 million (Q3 2021).
- Year-over-year, Occupancy Expense has declined for four consecutive quarters, with growth averaging 0.8% over the last eight quarters.
- The fastest year-over-year change in Occupancy Expense over five years came in Q3 2021 (growth of 22.3%), and the weakest in Q2 2022 (a decline of 10.8%).
- Business Quant data shows FBP's Occupancy Expense at $22.06 million (Q1 2026), $21.8 million (Q4 2025) and $22.19 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Jpmorgan Chase | 918.91 Bn | 918.91 Bn | - |
| 2 | Banco Santander Chile | 870.35 Bn | 846.93 Bn | - |
| 3 | Bank Of America | 358.55 Bn | -2,017.56 Bn | - |
| 4 | Hsbc Holdings | 315.74 Bn | -668.95 Bn | - |
| 5 | Morgan Stanley | 290.88 Bn | -253.14 Bn | - |
| 6 | Royal Bank Of Canada | 287.92 Bn | 137.98 Bn | - |
| 7 | Goldman Sachs | 270.57 Bn | -3,472.88 Bn | - |
| 8 | Wells Fargo & Company | 258.79 Bn | 258.79 Bn | - |
| 9 | Mitsubishi Ufj Financial | 247.94 Bn | 129.81 Bn | - |
| 10 | First Bancorp | 4.01 Bn | -15.70 Bn | - |
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 |
First Bancorp 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_KEY
import 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();