First Bancorp (FBP) Return on Sales [ROS] (2009 - 2026)
First Bancorp (FBP) posted Return on Sales [ROS] of 67.50% for Q2 2026, up 0.56 percentage points from 66.94% a year earlier and up 0.55 percentage points from the prior quarter.
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Analysis
First Bancorp (FBP) Return on Sales [ROS] (2009 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Return on Sales [ROS] at First Bancorp was 67.29%, down 1.26 percentage points year-over-year; for FY2025, it came in at 67.04%, down 5.32 percentage points from FY2024.
- Annual Return on Sales [ROS] shows a five-year change of +37.67 percentage points (FY2020 to FY2025).
- In prior years, First Bancorp's Return on Sales [ROS] was 72.36% in FY2024 (+5.27 pp), 67.09% in FY2023 (+11.02 pp), 56.07% in FY2022 (-1.81 pp) and 57.88% in FY2021 (+28.51 pp).
- Quarterly Return on Sales [ROS] has run from a low of 51.10% in Q3 2022 to a high of 75.11% in Q2 2024 over five years.
- On a year-over-year basis, Return on Sales [ROS] increased in three of the last eight quarters, with an average year-over-year change of -2.65 percentage points.
- The strongest year-over-year quarter for Return on Sales [ROS] in the past five years was Q3 2021, with a gain of 33.99 percentage points; the weakest was Q3 2022, with a drop of 8.60 percentage points.
- According to Business Quant data, Return on Sales [ROS] for the three prior quarters was 66.95% (Q1 2026), 65.99% (Q4 2025) and 68.77% (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 | First Bancorp | 3.96 Bn | -15.81 Bn | - | -0.29% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | -0.29% |
| Jun 30, 2026 | 67.50% |
| Mar 31, 2026 | 66.95% |
| Dec 31, 2025 | 65.99% |
| Sep 30, 2025 | 0.42% |
| Jun 30, 2025 | 66.94% |
| Mar 31, 2025 | 66.48% |
| Dec 31, 2024 | 68.95% |
| Sep 30, 2024 | -0.57% |
| Jun 30, 2024 | 75.11% |
| Mar 31, 2024 | 73.49% |
| Dec 31, 2023 | 66.73% |
| Sep 30, 2023 | 75.06% |
| Jun 30, 2023 | 64.95% |
| Mar 31, 2023 | 61.76% |
| Dec 31, 2022 | 57.15% |
| Sep 30, 2022 | 51.10% |
| Jun 30, 2022 | 67.83% |
| Mar 31, 2022 | 63.10% |
| Dec 31, 2021 | 60.40% |
API Access
First 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=FBP&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "FBP", "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=FBP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();