Princeton Bancorp (BPRN) Operating Expenses (2022 - 2026)
Princeton Bancorp (BPRN) posted Operating Expenses of $13.65 million for Q2 2026, up 1.0% from $13.51 million a year earlier and up 1.7% from the prior quarter.
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Analysis
Princeton Bancorp (BPRN) Operating Expenses (2022 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Operating Expenses at Princeton Bancorp was $53.71 million, down 10.8% year-over-year; for FY2025, it was $53.95 million, down 5.0% from FY2024.
- Annual Operating Expenses shows a four-year compound annual growth rate of 11.9% (FY2021 to FY2025).
- In prior years, Princeton Bancorp's Operating Expenses was $56.76 million in FY2024 (+16.6%), $48.69 million in FY2023 (+26.5%), $38.49 million in FY2022 (+11.7%) and $34.45 million in FY2021.
- Quarterly Operating Expenses has run from a low of $9.27 million in Q1 2022 to a high of $20.14 million in Q3 2024 over five years.
- On a year-over-year basis, Operating Expenses increased in five of the last eight quarters, with growth averaging 13.9%.
- The strongest year-over-year quarter for Operating Expenses in the past five years was Q3 2024, with growth of 98.3%; the weakest was Q2 2024, with a decline of 32.6%.
- According to Business Quant data, Operating Expenses for the three prior quarters was $13.42 million (Q1 2026), $12.73 million (Q4 2025) and $13.92 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 890.60 Bn | 920.07 Bn | - | 27.32 Bn |
| 2 | Banco Santander Chile | 421.74 Bn | 541.68 Bn | - | -3,218.32 Bn |
| 3 | Bank Of America | 385.85 Bn | -1,990.22 Bn | - | 18.63 Bn |
| 4 | Hsbc Holdings | 345.94 Bn | 345.99 Bn | - | - |
| 5 | Morgan Stanley | 303.15 Bn | -205.95 Bn | - | 13.90 Bn |
| 6 | Royal Bank Of Canada | 279.82 Bn | 130.57 Bn | - | 7.02 Bn |
| 7 | Mitsubishi Ufj Financial | 274.62 Bn | -1,313.87 Bn | 10.89 Bn | 17.50 Bn |
| 8 | Goldman Sachs | 267.07 Bn | -3,290.04 Bn | - | 11.67 Bn |
| 9 | Wells Fargo & Company | 243.79 Bn | 245.93 Bn | - | 13.66 Bn |
| 10 | Princeton Bancorp | 296.58 Mn | 296.58 Mn | - | 13.65 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 13.65 Mn |
| Mar 31, 2026 | 13.42 Mn |
| Dec 31, 2025 | 12.73 Mn |
| Sep 30, 2025 | 13.92 Mn |
| Jun 30, 2025 | 13.51 Mn |
| Mar 31, 2025 | 13.79 Mn |
| Dec 31, 2024 | 12.77 Mn |
| Sep 30, 2024 | 20.14 Mn |
| Jun 30, 2024 | 12.01 Mn |
| Mar 31, 2024 | 11.84 Mn |
| Dec 31, 2023 | 10.95 Mn |
| Sep 30, 2023 | 10.16 Mn |
| Jun 30, 2023 | 17.81 Mn |
| Mar 31, 2023 | 9.77 Mn |
| Dec 31, 2022 | 9.67 Mn |
| Sep 30, 2022 | 10.13 Mn |
| Jun 30, 2022 | 9.43 Mn |
| Mar 31, 2022 | 9.27 Mn |
API Access
Princeton Bancorp Operating Expenses 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=operating-expenses&ticker=BPRN&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=BPRN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();