Princeton Bancorp (BPRN) Income After Tax (2022 - 2026)
Princeton Bancorp (BPRN) posted Income After Tax of $7.08 million for Q2 2026, up 929.2% from $688,000 a year earlier and up 13.7% from the prior quarter.
Princeton Bancorp (BPRN) Income After Tax (2022 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Income After Tax at Princeton Bancorp was $25.86 million, up 278.2% year-over-year; for FY2025, it came in at $18.61 million, up 81.7% from FY2024.
- Annual Income After Tax shows a four-year compound annual growth rate of -4.6% (FY2021 to FY2025).
- In prior years, Princeton Bancorp's Income After Tax was $10.24 million in FY2024 (-60.2%), $25.77 million in FY2023 (-2.8%), $26.49 million in FY2022 (+17.8%) and $22.49 million in FY2021.
- The Q2 2026 figure stands as the highest quarterly Income After Tax since Q3 2023.
- On a year-over-year basis, Income After Tax has increased in each of the last three quarters, with growth averaging 149.6% over the last six quarters.
- The strongest year-over-year quarter for Income After Tax in the past five years was Q2 2026, with growth of 929.2%; the weakest was Q2 2025, with a decline of 86.6%.
- According to Business Quant data, Income After Tax for the three prior quarters was $6.23 million (Q1 2026), $6.08 million (Q4 2025) and $6.47 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Income After Tax (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 909.02 Bn | 886.77 Bn | - | 15.31 Bn |
| 2 | Banco Santander Chile | 406.67 Bn | -7,110.43 Bn | - | 40.42 Bn |
| 3 | Bank Of America | 350.91 Bn | -2,025.20 Bn | - | 6.93 Bn |
| 4 | Hsbc Holdings | 308.71 Bn | -2,966.46 Bn | - | 11.69 Bn |
| 5 | Morgan Stanley | 293.66 Bn | -249.15 Bn | - | 4.97 Bn |
| 6 | Royal Bank Of Canada | 283.56 Bn | -546.44 Bn | - | 4.32 Bn |
| 7 | Goldman Sachs | 262.71 Bn | -3,480.74 Bn | - | 5.29 Bn |
| 8 | Wells Fargo & Company | 257.44 Bn | 92.87 Bn | - | 5.94 Bn |
| 9 | Mitsubishi Ufj Financial | 256.82 Bn | -75.42 Bn | 10.89 Bn | 5.31 Bn |
| 10 | Princeton Bancorp | 303.50 Mn | -75.99 Mn | - | 1.02 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 1.02 Mn |
| Jun 30, 2026 | 7.08 Mn |
| Mar 31, 2026 | 6.23 Mn |
| Dec 31, 2025 | 6.08 Mn |
| Sep 30, 2025 | 6.47 Mn |
| Jun 30, 2025 | 688,000.00 |
| Mar 31, 2025 | 5.38 Mn |
| Dec 31, 2024 | 5.23 Mn |
| Sep 30, 2024 | -4.46 Mn |
| Jun 30, 2024 | 5.13 Mn |
| Mar 31, 2024 | 4.35 Mn |
| Dec 31, 2023 | 5.28 Mn |
| Sep 30, 2023 | 7.60 Mn |
| Jun 30, 2023 | 6.79 Mn |
| Mar 31, 2023 | 6.10 Mn |
| Dec 31, 2022 | 7.17 Mn |
| Sep 30, 2022 | 6.98 Mn |
| Jun 30, 2022 | 6.33 Mn |
| Mar 31, 2022 | 6.02 Mn |
Princeton Bancorp Income After Tax 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=profit-after-tax&ticker=BPRN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "profit-after-tax", "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=profit-after-tax&ticker=BPRN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();