First Bancorp (FNLC) Return on Sales [ROS] (2010 - 2026)
First Bancorp's Return on Sales [ROS] was 815.23% in Q2 2026, down 109.34 percentage points from 924.57% a year earlier and down 42.57 percentage points from the prior quarter.
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Analysis
First Bancorp (FNLC) Return on Sales [ROS] (2010 - 2026) Analysis & Trends
On a trailing twelve-month basis, First Bancorp's Return on Sales [ROS] was 857.42% through Jun 30, 2026, down 44.34 percentage points year-over-year; for FY2025, it came in at 898.79%, up 12.69 percentage points from FY2024.
- Return on Sales [ROS] has now increased for four consecutive years, with a five-year change of +557.92 percentage points (FY2020 to FY2025).
- In earlier years, Return on Sales [ROS] was 886.10% in FY2024 (+111.50 pp), 774.60% in FY2023 (+322.01 pp), 452.60% in FY2022 (+121.96 pp) and 330.64% in FY2021 (-10.24 pp).
- The Q2 2026 figure marks the lowest quarterly Return on Sales [ROS] since Q4 2023.
- Compared with a year earlier, Return on Sales [ROS] was higher in five of the last eight quarters, with an average year-over-year change of +3.87 percentage points.
- The best year-over-year quarter for Return on Sales [ROS] over five years was Q3 2023 (a gain of 398.25 percentage points); the worst was Q2 2026 (a drop of 109.34 percentage points).
- Per Business Quant data, FNLC's Return on Sales [ROS] in the three quarters before Q2 2026 was 857.80% (Q1 2026), 843.99% (Q4 2025) and 916.34% (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 881.30 Bn | 881.30 Bn | - | 91.77% |
| 2 | Bank Of America | 354.90 Bn | -2,021.17 Bn | - | 93.16% |
| 3 | Hsbc Holdings | 311.39 Bn | -1,517.77 Bn | - | 46.36% |
| 4 | Morgan Stanley | 282.15 Bn | -226.95 Bn | - | 95.89% |
| 5 | Royal Bank Of Canada | 281.68 Bn | -548.32 Bn | - | 138.04% |
| 6 | Goldman Sachs | 255.22 Bn | -3,301.89 Bn | - | 131.07% |
| 7 | Mitsubishi Ufj Financial | 249.82 Bn | -82.42 Bn | 10.89 Bn | 51.45% |
| 8 | Wells Fargo & Company | 249.49 Bn | 251.62 Bn | - | 84.05% |
| 9 | Toronto Dominion Bank | 210.53 Bn | -465.35 Bn | - | 6.25% |
| 10 | First Bancorp | 410.10 Mn | 297.35 Mn | - | 116.90% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| 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% |
| Sep 30, 2021 | 63.15% |
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();