Princeton Bancorp (BPRN) Occupancy Expense (2022 - 2026)
Princeton Bancorp's Occupancy Expense came in at $3.21 million for Q3 2026, up 49.5% from $2.15 million a year earlier and up 42.5% from the prior quarter.
Princeton Bancorp (BPRN) Occupancy Expense (2022 - 2026) Analysis & Trends
Over the trailing twelve months to Sep 30, 2026, Princeton Bancorp reported Occupancy Expense of $10.01 million, up 13.5% year-over-year; for FY2025, it was $8.73 million, up 6.4% from FY2024.
- Occupancy Expense has increased in each of the last three years, with a four-year compound annual growth rate of 9.6% (FY2021 to FY2025).
- Going back by year, Occupancy Expense was $8.21 million in FY2024 (+16.6%), $7.04 million in FY2023 (+20.1%), $5.86 million in FY2022 (-3.2%) and $6.06 million in FY2021.
- The Q3 2026 figure represents the highest quarterly Occupancy Expense in data going back to Q1 2022.
- Year-over-year, Occupancy Expense has increased for three consecutive quarters, with growth averaging 13.5% over the last eight quarters.
- The fastest year-over-year change in Occupancy Expense over five years came in Q1 2024 (growth of 51.3%), and the weakest in Q1 2023 (a decline of 9.3%).
- Business Quant data shows BPRN's Occupancy Expense at $2.25 million (Q2 2026), $2.39 million (Q1 2026) and $2.16 million (Q4 2025) in the three quarters before Q3 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Jpmorgan Chase | 909.02 Bn | 886.77 Bn | - |
| 2 | Banco Santander Chile | 406.67 Bn | -7,110.43 Bn | - |
| 3 | Bank Of America | 350.91 Bn | -2,025.20 Bn | - |
| 4 | Hsbc Holdings | 308.71 Bn | -2,966.46 Bn | - |
| 5 | Morgan Stanley | 293.66 Bn | -249.15 Bn | - |
| 6 | Royal Bank Of Canada | 283.56 Bn | -546.44 Bn | - |
| 7 | Goldman Sachs | 262.71 Bn | -3,480.74 Bn | - |
| 8 | Wells Fargo & Company | 257.44 Bn | 92.87 Bn | - |
| 9 | Mitsubishi Ufj Financial | 256.82 Bn | -75.42 Bn | 10.89 Bn |
| 10 | Princeton Bancorp | 303.50 Mn | -75.99 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 3.21 Mn |
| Jun 30, 2026 | 2.25 Mn |
| Mar 31, 2026 | 2.39 Mn |
| Dec 31, 2025 | 2.16 Mn |
| Sep 30, 2025 | 2.15 Mn |
| Jun 30, 2025 | 2.15 Mn |
| Mar 31, 2025 | 2.29 Mn |
| Dec 31, 2024 | 2.24 Mn |
| Sep 30, 2024 | 2.09 Mn |
| Jun 30, 2024 | 1.85 Mn |
| Mar 31, 2024 | 2.03 Mn |
| Dec 31, 2023 | 1.85 Mn |
| Sep 30, 2023 | 2.14 Mn |
| Jun 30, 2023 | 1.71 Mn |
| Mar 31, 2023 | 1.34 Mn |
| Dec 31, 2022 | 1.41 Mn |
| Sep 30, 2022 | 1.54 Mn |
| Jun 30, 2022 | 1.43 Mn |
| Mar 31, 2022 | 1.48 Mn |
Princeton 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=BPRN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "occupancy-expense", "ticker": "BPRN", "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=BPRN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();