American Airlines (AAL) Return on Sales [ROS] (2009 - 2026)
American Airlines' Return on Sales [ROS] was 2.67% in Q2 2026, down 5.22 percentage points from 7.89% a year earlier but up 2.96 percentage points from the prior quarter.
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Analysis
American Airlines (AAL) Return on Sales [ROS] (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, American Airlines' Return on Sales [ROS] was 1.73% through Jun 30, 2026, down 2.12 percentage points year-over-year; for FY2025, it was 2.69%, down 2.14 percentage points from FY2024.
- Return on Sales [ROS] shows a five-year change of +62.79 percentage points (FY2020 to FY2025).
- In earlier years, Return on Sales [ROS] was 4.82% in FY2024 (-0.93 pp), 5.75% in FY2023 (+2.47 pp), 3.28% in FY2022 (+6.83 pp) and -3.54% in FY2021 (+56.56 pp).
- Quarterly Return on Sales [ROS] has moved between -19.36% (Q1 2022) and 15.39% (Q2 2023) over five years.
- Compared with a year earlier, Return on Sales [ROS] was higher in four of the last eight quarters, with an average year-over-year change of -0.80 percentage points.
- The best year-over-year quarter for Return on Sales [ROS] over five years was Q3 2021 (a gain of 97.12 percentage points); the worst was Q3 2023 (a drop of 8.56 percentage points).
- Per Business Quant data, AAL's Return on Sales [ROS] in the three quarters before Q2 2026 was -0.29% (Q1 2026), 3.23% (Q4 2025) and 1.10% (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Union Pacific | 165.28 Bn | 159.81 Bn | - | 40.25% |
| 2 | Csx | 87.86 Bn | 84.08 Bn | - | 38.27% |
| 3 | Canadian Pacific Kansas City | 75.56 Bn | 75.27 Bn | - | 35.35% |
| 4 | Norfolk Southern | 71.27 Bn | 65.91 Bn | - | 32.44% |
| 5 | United Parcel Service | 69.70 Bn | 46.62 Bn | - | 4.07% |
| 6 | Fedex | 68.71 Bn | 34.65 Bn | - | 6.20% |
| 7 | Delta Air Lines | 55.32 Bn | 37.50 Bn | - | 9.43% |
| 8 | Old Dominion Freight Line | 37.44 Bn | 36.71 Bn | - | 29.94% |
| 9 | United Airlines Holdings | 36.52 Bn | -19.85 Bn | - | 6.20% |
| 10 | American Airlines | 8.57 Bn | -15.47 Bn | - | 2.67% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.67% |
| Mar 31, 2026 | -0.29% |
| Dec 31, 2025 | 3.23% |
| Sep 30, 2025 | 1.10% |
| Jun 30, 2025 | 7.89% |
| Mar 31, 2025 | -2.15% |
| Dec 31, 2024 | 8.30% |
| Sep 30, 2024 | 0.65% |
| Jun 30, 2024 | 9.66% |
| Mar 31, 2024 | 0.06% |
| Dec 31, 2023 | 5.02% |
| Sep 30, 2023 | -1.65% |
| Jun 30, 2023 | 15.39% |
| Mar 31, 2023 | 3.59% |
| Dec 31, 2022 | 10.48% |
| Sep 30, 2022 | 6.91% |
| Jun 30, 2022 | 7.58% |
| Mar 31, 2022 | -19.36% |
| Dec 31, 2021 | -8.27% |
| Sep 30, 2021 | 6.63% |
API Access
American Airlines 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=AAL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "AAL", "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=AAL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();