First Bancorp (FNLC) Return on Sales [ROS] (2009 - 2026)
First Bancorp's Return on Sales [ROS] was 116.90% in Q2 2026, down 21.84 percentage points from 138.74% a year earlier but up 0.14 percentage points from the prior quarter.
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Analysis
First Bancorp (FNLC) Return on Sales [ROS] (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, First Bancorp's Return on Sales [ROS] was 122.00% through Jun 30, 2026, down 18.38 percentage points year-over-year; for FY2025, it came in at 131.80%, down 14.60 percentage points from FY2024.
- Return on Sales [ROS] shows a five-year change of +68.25 percentage points (FY2020 to FY2025).
- In earlier years, Return on Sales [ROS] was 146.40% in FY2024 (+24.05 pp), 122.35% in FY2023 (+53.29 pp), 69.06% in FY2022 (+5.23 pp) and 63.83% in FY2021 (+0.28 pp).
- Quarterly Return on Sales [ROS] has moved between 59.80% (Q1 2022) and 151.27% (Q3 2024) over five years.
- Compared with a year earlier, Return on Sales [ROS] has declined for six straight quarters, with an average year-over-year change of -9.80 percentage points over the last eight quarters.
- The best year-over-year quarter for Return on Sales [ROS] over five years was Q3 2023 (a gain of 62.39 percentage points); the worst was Q2 2026 (a drop of 21.84 percentage points).
- Per Business Quant data, FNLC's Return on Sales [ROS] in the three quarters before Q2 2026 was 116.76% (Q1 2026), 124.06% (Q4 2025) and 130.54% (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 | 417.68 Mn | 304.42 Mn | - | 116.18% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 116.18% |
| Jun 30, 2026 | 116.90% |
| Mar 31, 2026 | 116.76% |
| Dec 31, 2025 | 124.06% |
| Sep 30, 2025 | 130.54% |
| Jun 30, 2025 | 138.74% |
| Mar 31, 2025 | 135.20% |
| Dec 31, 2024 | 137.00% |
| Sep 30, 2024 | 151.27% |
| Jun 30, 2024 | 150.55% |
| Mar 31, 2024 | 147.84% |
| Dec 31, 2023 | 135.57% |
| Sep 30, 2023 | 132.72% |
| Jun 30, 2023 | 122.19% |
| Mar 31, 2023 | 100.19% |
| Dec 31, 2022 | 80.43% |
| Sep 30, 2022 | 70.33% |
| Jun 30, 2022 | 65.37% |
| Mar 31, 2022 | 59.80% |
| Dec 31, 2021 | 61.80% |
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=FNLC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "FNLC", "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=FNLC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();