Frontline (FRO) Operating Margin (2009 - 2026)
Frontline (FRO) posted Operating Margin of 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.
Frontline (FRO) Operating Margin (2009 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Operating Margin at Frontline was 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.
- Annual Operating Margin shows a five-year change of -11.11 percentage points (FY2020 to FY2025).
- In prior years, Frontline's Operating Margin 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).
- Quarterly Operating Margin has run from a low of -11.20% in Q3 2021 to a high of 81.92% in Q1 2026 over five years.
- On a year-over-year basis, Operating Margin has increased in each of the last three quarters, with an average year-over-year change of +8.32 percentage points over the last eight quarters.
- The strongest year-over-year quarter for Operating Margin in the past five years was Q1 2026, with a gain of 60.15 percentage points; the weakest was Q3 2021, with a drop of 39.88 percentage points.
- According to Business Quant data, Operating Margin for the three prior quarters was 81.92% (Q1 2026), 44.47% (Q4 2025) and 22.18% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Operating Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Union Pacific | 162.85 Bn | 157.37 Bn | - | 40.25% |
| 2 | Csx | 86.62 Bn | 82.84 Bn | - | 38.27% |
| 3 | Canadian Pacific Kansas City | 76.11 Bn | 75.83 Bn | - | 35.35% |
| 4 | United Parcel Service | 70.66 Bn | 47.58 Bn | - | 4.07% |
| 5 | Norfolk Southern | 70.32 Bn | 64.96 Bn | - | 32.44% |
| 6 | Fedex | 68.53 Bn | 34.48 Bn | - | 6.20% |
| 7 | Delta Air Lines | 55.25 Bn | 37.43 Bn | - | 9.43% |
| 8 | Old Dominion Freight Line | 36.69 Bn | 35.95 Bn | - | 29.94% |
| 9 | Ryanair Holdings | 28.78 Bn | 12.78 Bn | 3.13 Bn | 13.12% |
| 10 | Frontline | 10.71 Bn | 9.47 Bn | - | 71.19% |
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% |
Frontline Operating Margin 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=operating-margin&ticker=FRO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-margin", "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=operating-margin&ticker=FRO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();