Princeton Bancorp (BPRN) Amortization - Intangibles (2022 - 2026)
Princeton Bancorp's Amortization - Intangibles came in at $172,000 for Q3 2026, down 7.5% from the prior quarter.
Powered by 
Analysis
Princeton Bancorp (BPRN) Amortization - Intangibles (2022 - 2026) Analysis & Trends
Over the trailing twelve months to Sep 30, 2026, Princeton Bancorp reported Amortization - Intangibles of $773,000; for FY2022, it came in at $569,000, down 11.5% from FY2021.
- Going back by year, Amortization - Intangibles was $643,000 in FY2021.
Peer Set
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
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 172,000.00 |
| Jun 30, 2026 | 186,000.00 |
| Mar 31, 2026 | 196,000.00 |
| Dec 31, 2025 | 200,000.00 |
| Sep 30, 2025 | 209,000.00 |
| Jun 30, 2025 | 219,000.00 |
| Mar 31, 2025 | 228,000.00 |
| Dec 31, 2024 | 228,000.00 |
| Sep 30, 2024 | 143,000.00 |
| Jun 30, 2024 | 111,000.00 |
| Mar 31, 2024 | 120,000.00 |
| Dec 31, 2023 | 124,000.00 |
| Sep 30, 2023 | 116,000.00 |
| Jun 30, 2023 | 127,000.00 |
| Mar 31, 2023 | 135,000.00 |
| Dec 31, 2022 | 135,000.00 |
| Sep 30, 2022 | 135,000.00 |
| Jun 30, 2022 | 145,000.00 |
| Mar 31, 2022 | 154,000.00 |
API Access
Princeton Bancorp Amortization - Intangibles 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=amortization-intangibles&ticker=BPRN&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "amortization-intangibles", "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=amortization-intangibles&ticker=BPRN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();