Princeton Bancorp (BPRN) Return on Sales [ROS] (2022 - 2026)
Princeton Bancorp's Return on Sales [ROS] was 92.54% in Q2 2026, up 23.49 percentage points from 69.05% a year earlier but down 2.55 percentage points from the prior quarter.
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Analysis
Princeton Bancorp (BPRN) Return on Sales [ROS] (2022 - 2026) Analysis & Trends
On a trailing twelve-month basis, Princeton Bancorp's Return on Sales [ROS] was 97.04% through Jun 30, 2026, up 13.84 percentage points year-over-year; for FY2025, it was 93.04%, up 0.35 percentage points from FY2024.
- Return on Sales [ROS] has now increased for four consecutive years, with a four-year change of +39.73 percentage points (FY2021 to FY2025).
- In earlier years, Return on Sales [ROS] was 92.69% in FY2024 (+15.38 pp), 77.31% in FY2023 (+22.40 pp), 54.91% in FY2022 (+1.59 pp) and 53.31% in FY2021.
- Quarterly Return on Sales [ROS] has moved between 47.59% (Q3 2024) and 112.18% (Q4 2024) over five years.
- Compared with a year earlier, Return on Sales [ROS] was higher in three of the last eight quarters, with an average year-over-year change of -3.18 percentage points.
- The best year-over-year quarter for Return on Sales [ROS] over five years was Q2 2024 (a gain of 56.06 percentage points); the worst was Q3 2024 (a drop of 54.18 percentage points).
- Per Business Quant data, BPRN's Return on Sales [ROS] in the three quarters before Q2 2026 was 95.09% (Q1 2026), 101.42% (Q4 2025) and 99.45% (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 909.02 Bn | 886.77 Bn | - | 91.99% |
| 2 | Banco Santander Chile | 406.67 Bn | -7,110.43 Bn | - | - |
| 3 | Bank Of America | 350.91 Bn | -2,025.20 Bn | - | 89.38% |
| 4 | Hsbc Holdings | 308.71 Bn | -2,966.46 Bn | - | 48.15% |
| 5 | Morgan Stanley | 293.66 Bn | -249.15 Bn | - | 95.47% |
| 6 | Royal Bank Of Canada | 283.56 Bn | -546.44 Bn | - | 138.04% |
| 7 | Goldman Sachs | 262.71 Bn | -3,480.74 Bn | - | 139.33% |
| 8 | Wells Fargo & Company | 257.44 Bn | 92.87 Bn | - | 84.54% |
| 9 | Mitsubishi Ufj Financial | 256.82 Bn | -75.42 Bn | 10.89 Bn | 51.45% |
| 10 | Princeton Bancorp | 303.50 Mn | -75.99 Mn | - | 59.04% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 59.04% |
| Jun 30, 2026 | 92.54% |
| Mar 31, 2026 | 95.09% |
| Dec 31, 2025 | 101.42% |
| Sep 30, 2025 | 99.45% |
| Jun 30, 2025 | 69.05% |
| Mar 31, 2025 | 102.28% |
| Dec 31, 2024 | 112.18% |
| Sep 30, 2024 | 47.59% |
| Jun 30, 2024 | 108.59% |
| Mar 31, 2024 | 103.42% |
| Dec 31, 2023 | 100.19% |
| Sep 30, 2023 | 101.78% |
| Jun 30, 2023 | 52.53% |
| Mar 31, 2023 | 66.25% |
| Dec 31, 2022 | 60.20% |
| Sep 30, 2022 | 53.98% |
| Jun 30, 2022 | 52.53% |
| Mar 31, 2022 | 52.40% |
API Access
Princeton Bancorp Return on Sales [ROS] 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=return-on-sales-%5Bros%5D&ticker=BPRN&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "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=return-on-sales-%5Bros%5D&ticker=BPRN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();