Princeton Bancorp (BPRN) Amortizatization of Intangibles (2022 - 2026)
Princeton Bancorp's Amortizatization of Intangibles was $186,000 in Q2 2026, down 14.7% from $218,000 a year earlier and down 5.1% from the prior quarter.
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Analysis
Princeton Bancorp (BPRN) Amortizatization of Intangibles (2022 - 2026) Analysis & Trends
On a trailing twelve-month basis, Princeton Bancorp's Amortizatization of Intangibles was $791,000 through Jun 30, 2026, down 3.3% year-over-year; for FY2025, it was $856,000, up 42.2% from FY2024.
- Amortizatization of Intangibles shows a four-year compound annual growth rate of 7.4% (FY2021 to FY2025).
- In earlier years, Amortizatization of Intangibles was $602,000 in FY2024 (+19.9%), $502,000 in FY2023 (-11.6%), $568,000 in FY2022 (-11.7%) and $643,000 in FY2021.
- The Q2 2026 figure marks the lowest quarterly Amortizatization of Intangibles since Q3 2024.
- Compared with a year earlier, Amortizatization of Intangibles has declined for three straight quarters, with growth averaging 37.4% over the last eight quarters.
- The best year-over-year quarter for Amortizatization of Intangibles over five years was Q2 2025 (growth of 98.2%); the worst was Q2 2026 (a decline of 14.7%).
- Per Business Quant data, BPRN's Amortizatization of Intangibles in the three quarters before Q2 2026 was $196,000 (Q1 2026), $200,000 (Q4 2025) and $209,000 (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Amort. of Intangibles (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 883.45 Bn | 912.92 Bn | - | - |
| 2 | Banco Santander Chile | 401.52 Bn | 521.46 Bn | - | - |
| 3 | Bank Of America | 377.43 Bn | -1,998.64 Bn | - | - |
| 4 | Hsbc Holdings | 330.31 Bn | 330.37 Bn | - | - |
| 5 | Morgan Stanley | 299.17 Bn | -209.92 Bn | - | - |
| 6 | Royal Bank Of Canada | 274.08 Bn | 124.82 Bn | - | 287.60 Mn |
| 7 | Mitsubishi Ufj Financial | 270.70 Bn | -1,317.79 Bn | 10.89 Bn | - |
| 8 | Goldman Sachs | 263.13 Bn | -3,293.98 Bn | - | - |
| 9 | Wells Fargo & Company | 243.64 Bn | 245.78 Bn | - | - |
| 10 | Princeton Bancorp | 297.87 Mn | 297.87 Mn | - | 186,000.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| 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 | 218,000.00 |
| Mar 31, 2025 | 229,000.00 |
| Dec 31, 2024 | 228,000.00 |
| Sep 30, 2024 | 143,000.00 |
| Jun 30, 2024 | 110,000.00 |
| Mar 31, 2024 | 121,000.00 |
| Dec 31, 2023 | 124,000.00 |
| Sep 30, 2023 | 116,000.00 |
| Jun 30, 2023 | 126,000.00 |
| Mar 31, 2023 | 136,000.00 |
| Dec 31, 2022 | 133,000.00 |
| Sep 30, 2022 | 135,000.00 |
| Jun 30, 2022 | 145,000.00 |
| Mar 31, 2022 | 155,000.00 |
API Access
Princeton Bancorp Amortizatization of 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=amortizatization-of-intangibles&ticker=BPRN&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "amortizatization-of-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=amortizatization-of-intangibles&ticker=BPRN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();