Frontline (FRO) Return on Sales [ROS] (2009 - 2026)
Frontline's Return on Sales [ROS] came in at 71.19% for Q2 2026, up 43.72 percentage points from 27.47% a year earlier but down 10.74 percentage points from the prior quarter.
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Analysis
Frontline (FRO) Return on Sales [ROS] (2009 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Frontline reported Return on Sales [ROS] of 60.06%, up 32.67 percentage points year-over-year; for FY2025, it came in at 30.47%, down 7.66 percentage points from FY2024.
- Return on Sales [ROS] carries a five-year change of -11.11 percentage points (FY2020 to FY2025).
- Going back by year, Return on Sales [ROS] was 38.13% in FY2024 (-3.31 pp), 41.43% in FY2023 (+10.27 pp), 31.16% in FY2022 (+30.03 pp) and 1.13% in FY2021 (-40.45 pp).
- The five-year range for quarterly Return on Sales [ROS] is -11.20% (Q3 2021) to 81.92% (Q1 2026).
- Year-over-year, Return on Sales [ROS] has increased for three consecutive quarters, with an average year-over-year change of +8.32 percentage points over the last eight quarters.
- The fastest year-over-year change in Return on Sales [ROS] over five years came in Q1 2026 (a gain of 60.15 percentage points), and the weakest in Q3 2021 (a drop of 39.88 percentage points).
- Business Quant data shows FRO's Return on Sales [ROS] at 81.92% (Q1 2026), 44.47% (Q4 2025) and 22.18% (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Union Pacific | 174.84 Bn | 167.09 Bn | - | 40.89% |
| 2 | United Parcel Service | 93.52 Bn | 70.34 Bn | - | 7.63% |
| 3 | Csx | 92.38 Bn | 87.60 Bn | - | 39.08% |
| 4 | Canadian Pacific Kansas City | 82.71 Bn | 81.74 Bn | - | 35.25% |
| 5 | Fedex | 75.11 Bn | 41.30 Bn | - | 6.20% |
| 6 | Norfolk Southern | 72.91 Bn | 67.37 Bn | - | 32.61% |
| 7 | Delta Air Lines | 59.55 Bn | 41.74 Bn | - | 7.20% |
| 8 | United Airlines Holdings | 38.79 Bn | -18.91 Bn | - | 8.09% |
| 9 | Old Dominion Freight Line | 34.85 Bn | 33.69 Bn | - | 28.46% |
| 10 | Frontline | 10.25 Bn | 9.01 Bn | - | 71.19% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 71.19% |
| Mar 31, 2026 | 81.92% |
| Dec 31, 2025 | 44.47% |
| Sep 30, 2025 | 22.18% |
| Jun 30, 2025 | 27.47% |
| Mar 31, 2025 | 21.77% |
| Dec 31, 2024 | 30.48% |
| Sep 30, 2024 | 29.53% |
| Jun 30, 2024 | 46.03% |
| Mar 31, 2024 | 43.44% |
| Dec 31, 2023 | 33.26% |
| Sep 30, 2023 | 30.43% |
| Jun 30, 2023 | 49.34% |
| Mar 31, 2023 | 48.44% |
| Dec 31, 2022 | 46.48% |
| Sep 30, 2022 | 29.41% |
| Jun 30, 2022 | 20.94% |
| Mar 31, 2022 | 9.54% |
| Dec 31, 2021 | 8.63% |
| Sep 30, 2021 | -11.20% |
API Access
Frontline 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=FRO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "FRO", "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=FRO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();