Southwest Airlines (LUV) Return on Sales [ROS] (2009 - 2026)
Southwest Airlines (LUV) posted Return on Sales [ROS] of 3.38% for Q2 2026, up 0.27 percentage points from 3.11% a year earlier but down 1.17 percentage points from the prior quarter.
Southwest Airlines (LUV) Return on Sales [ROS] (2009 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Return on Sales [ROS] at Southwest Airlines was 3.46%, up 2.30 percentage points year-over-year; for FY2025, it was 1.53%, up 0.36 percentage points from FY2024.
- Annual Return on Sales [ROS] shows a five-year change of +43.70 percentage points (FY2020 to FY2025).
- In prior years, Southwest Airlines' Return on Sales [ROS] was 1.17% in FY2024 (+0.31 pp), 0.86% in FY2023 (-3.41 pp), 4.27% in FY2022 (-6.63 pp) and 10.90% in FY2021 (+53.07 pp).
- Quarterly Return on Sales [ROS] has run from a low of -6.24% in Q4 2022 to a high of 17.21% in Q2 2022 over five years.
- On a year-over-year basis, Return on Sales [ROS] has increased in each of the last three quarters, with an average year-over-year change of +2.33 percentage points over the last eight quarters.
- The strongest year-over-year quarter for Return on Sales [ROS] in the past five years was Q3 2021, with a gain of 94.36 percentage points; the weakest was Q1 2022, with a drop of 12.91 percentage points.
- According to Business Quant data, Return on Sales [ROS] for the three prior quarters was 4.55% (Q1 2026), 5.25% (Q4 2025) and 0.50% (Q3 2025).
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 | Southwest Airlines | 20.78 Bn | 7.41 Bn | - | 3.38% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 3.38% |
| Mar 31, 2026 | 4.55% |
| Dec 31, 2025 | 5.25% |
| Sep 30, 2025 | 0.50% |
| Jun 30, 2025 | 3.11% |
| Mar 31, 2025 | -3.47% |
| Dec 31, 2024 | 4.01% |
| Sep 30, 2024 | 0.55% |
| Jun 30, 2024 | 5.41% |
| Mar 31, 2024 | -6.21% |
| Dec 31, 2023 | -5.92% |
| Sep 30, 2023 | 1.79% |
| Jun 30, 2023 | 11.30% |
| Mar 31, 2023 | -4.98% |
| Dec 31, 2022 | -6.24% |
| Sep 30, 2022 | 6.35% |
| Jun 30, 2022 | 17.21% |
| Mar 31, 2022 | -3.22% |
| Dec 31, 2021 | 3.86% |
| Sep 30, 2021 | 15.67% |
Southwest 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=LUV&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "LUV", "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=LUV&period=max&api_key=YOUR_API_KEY");
const data = await res.json();