Princeton Bancorp (BPRN) EBITDA (2022 - 2026)
Princeton Bancorp (BPRN) reported EBITDA of $21.45 million for Q2 2026, up 41.0% from $15.21 million a year earlier and up 2.6% from the prior quarter.
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Analysis
Princeton Bancorp (BPRN) EBITDA (2022 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Princeton Bancorp's EBITDA came in at $86.12 million, up 22.8% year-over-year; for FY2025, it was $81.07 million, up 13.4% from FY2024.
- EBITDA has increased for four consecutive years, with a four-year compound annual growth rate of 21.0% (FY2021 to FY2025).
- By year, EBITDA came in at $71.51 million in FY2024 (+9.2%), $65.48 million in FY2023 (+55.5%), $42.1 million in FY2022 (+11.3%) and $37.81 million in FY2021.
- Five-year quarterly EBITDA spans a low of $9.33 million in Q1 2022 and a high of $23.14 million in Q4 2024.
- Year over year, EBITDA gained in four of the last eight quarters, with growth averaging 15.8%.
- The high point for year-over-year EBITDA in five years was Q3 2025 (growth of 127.7%); the low point was Q3 2024 (a decline of 51.4%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $20.91 million (Q1 2026), $21.7 million (Q4 2025) and $22.06 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 890.60 Bn | 920.07 Bn | - | 54.95 Bn |
| 2 | Banco Santander Chile | 421.74 Bn | 541.68 Bn | - | -1,174.27 Bn |
| 3 | Bank Of America | 385.85 Bn | -1,990.22 Bn | - | 30.01 Bn |
| 4 | Hsbc Holdings | 345.94 Bn | 345.99 Bn | - | - |
| 5 | Morgan Stanley | 303.15 Bn | -205.95 Bn | - | 21.67 Bn |
| 6 | Royal Bank Of Canada | 279.82 Bn | 130.57 Bn | - | 18.88 Bn |
| 7 | Mitsubishi Ufj Financial | 274.62 Bn | -1,313.87 Bn | 10.89 Bn | - |
| 8 | Goldman Sachs | 267.07 Bn | -3,290.04 Bn | - | 27.17 Bn |
| 9 | Wells Fargo & Company | 243.79 Bn | 245.93 Bn | - | 20.89 Bn |
| 10 | Princeton Bancorp | 296.58 Mn | 296.58 Mn | - | 21.45 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 21.45 Mn |
| Mar 31, 2026 | 20.91 Mn |
| Dec 31, 2025 | 21.70 Mn |
| Sep 30, 2025 | 22.06 Mn |
| Jun 30, 2025 | 15.21 Mn |
| Mar 31, 2025 | 22.10 Mn |
| Dec 31, 2024 | 23.14 Mn |
| Sep 30, 2024 | 9.69 Mn |
| Jun 30, 2024 | 20.12 Mn |
| Mar 31, 2024 | 18.56 Mn |
| Dec 31, 2023 | 18.35 Mn |
| Sep 30, 2023 | 19.94 Mn |
| Jun 30, 2023 | 14.79 Mn |
| Mar 31, 2023 | 12.39 Mn |
| Dec 31, 2022 | 12.08 Mn |
| Sep 30, 2022 | 11.08 Mn |
| Jun 30, 2022 | 9.62 Mn |
| Mar 31, 2022 | 9.33 Mn |
API Access
Princeton Bancorp EBITDA 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=ebitda&ticker=BPRN&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=BPRN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();