GXO Logistics (GXO) Return on Sales [ROS] (2020 - 2026)
GXO Logistics' Return on Sales [ROS] came in at 2.24% for Q2 2026, down 0.46 percentage points from 2.70% a year earlier but up 1.06 percentage points from the prior quarter.
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Analysis
GXO Logistics (GXO) Return on Sales [ROS] (2020 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, GXO Logistics reported Return on Sales [ROS] of 2.40%, up 0.71 percentage points year-over-year; for FY2025, it came in at 1.86%, unchanged from FY2024.
- Return on Sales [ROS] carries a five-year change of +1.60 percentage points (FY2020 to FY2025).
- Going back by year, Return on Sales [ROS] was 1.86% in FY2024 (-1.39 pp), 3.25% in FY2023 (+0.56 pp), 2.69% in FY2022 (+0.79 pp) and 1.90% in FY2021 (+1.64 pp).
- The five-year range for quarterly Return on Sales [ROS] is -1.88% (Q1 2025) to 4.14% (Q2 2023).
- Year-over-year, Return on Sales [ROS] increased in three of the last eight quarters, with an average year-over-year change of +0.19 percentage points.
- The fastest year-over-year change in Return on Sales [ROS] over five years came in Q1 2026 (a gain of 3.06 percentage points), and the weakest in Q1 2024 (a drop of 3.40 percentage points).
- Business Quant data shows GXO's Return on Sales [ROS] at 1.18% (Q1 2026), 2.68% (Q4 2025) and 3.48% (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 | 173.89 Bn | 166.14 Bn | - | 40.89% |
| 2 | Csx | 94.27 Bn | 89.49 Bn | - | 39.08% |
| 3 | United Parcel Service | 86.13 Bn | 63.03 Bn | - | 4.07% |
| 4 | Canadian Pacific Kansas City | 79.52 Bn | 78.54 Bn | - | 35.35% |
| 5 | Norfolk Southern | 74.18 Bn | 68.65 Bn | - | 32.61% |
| 6 | Fedex | 71.02 Bn | 36.96 Bn | - | 6.20% |
| 7 | Delta Air Lines | 50.26 Bn | 32.44 Bn | - | 7.20% |
| 8 | Old Dominion Freight Line | 38.08 Bn | 37.35 Bn | - | 29.94% |
| 9 | United Airlines Holdings | 31.84 Bn | -25.85 Bn | - | 8.09% |
| 10 | GXO Logistics | 5.56 Bn | 2.81 Bn | 508.00 Mn | 2.24% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.24% |
| Mar 31, 2026 | 1.18% |
| Dec 31, 2025 | 2.68% |
| Sep 30, 2025 | 3.48% |
| Jun 30, 2025 | 2.70% |
| Mar 31, 2025 | -1.88% |
| Dec 31, 2024 | 3.11% |
| Sep 30, 2024 | 2.57% |
| Jun 30, 2024 | 2.64% |
| Mar 31, 2024 | -1.59% |
| Dec 31, 2023 | 3.36% |
| Sep 30, 2023 | 3.64% |
| Jun 30, 2023 | 4.14% |
| Mar 31, 2023 | 1.81% |
| Dec 31, 2022 | 3.00% |
| Sep 30, 2022 | 3.15% |
| Jun 30, 2022 | 2.74% |
| Mar 31, 2022 | 1.78% |
| Dec 31, 2021 | 2.79% |
| Sep 30, 2021 | 1.82% |
API Access
GXO Logistics 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=GXO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "GXO", "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=GXO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();