GXO Logistics (GXO) Operating Margin (2020 - 2026)
GXO Logistics (GXO) posted Operating Margin of 2.24% for Q2 2026, up 89.23% on a QoQ basis from 1.18% in Q1 2026, and down 46.0% year-over-year from 4.14% in Q2 2025.
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GXO Logistics (GXO) Operating Margin (2020 - 2026) Analysis & Trends
GXO Logistics has reported Operating Margin for 7 years, with the latest figure at 2.24% in Q2 2026.
- On a quarterly basis, Operating Margin fell 46.0% year-over-year to 2.24% in Q2 2026; TTM through Jun 2026 was 2.4%, a 71.0% increase from a year earlier, with the FY2025 full-year figure at 1.86%, changed 0.0% from the prior year.
- Operating Margin was 2.24% for Q2 2026 at GXO Logistics, up from 1.18% in the prior quarter.
- The five-year high for Operating Margin was 4.14% in Q2 2023, with the low at 1.88% in Q1 2025.
- Average Operating Margin over 5 years is 2.26%, with a median of 2.69% recorded in 2025.
- The sharpest annual moves came in 2024 and 2026: Operating Margin sank 340 bps in 2024, then jumped 306 bps in 2026.
- Over 5 years, Operating Margin stood at 3.0% in 2022, then advanced by 12 bps to 3.36% in 2023, then slipped by 7 bps to 3.11% in 2024, then fell by 14 bps to 2.68% in 2025, then retreated by 17 bps to 2.24% in 2026.
- The last three Operating Margin figures came in at 2.24% (Q2 2026), 1.18% (Q1 2026), and 2.68% (Q4 2025), per Business Quant data.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Operating Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Copart | 26.77 Bn | 23.43 Bn | 732.88 Mn | 37.53% |
| 2 | Expeditors International Of Washington | 24.97 Bn | 23.94 Bn | 1.09 Bn | 9.98% |
| 3 | C. H. Robinson Worldwide | 17.90 Bn | 17.74 Bn | 1.11 Bn | 5.18% |
| 4 | Rb Global | 15.49 Bn | 14.96 Bn | 935.50 Mn | 17.07% |
| 5 | Ryder System | 9.10 Bn | 9.10 Bn | 1.45 Bn | -51.12% |
| 6 | Landstar System | 5.78 Bn | 5.43 Bn | 308.86 Mn | 4.62% |
| 7 | GXO Logistics | 5.21 Bn | 4.47 Bn | 508.00 Mn | 2.24% |
| 8 | Rxo | 3.25 Bn | 3.24 Bn | 302.00 Mn | 0.06% |
| 9 | Hub | 1.92 Bn | 1.83 Bn | 250.84 Mn | 4.22% |
| 10 | Cryoport | 892.43 Mn | 495.73 Mn | 22.82 Mn | -20.50% |
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 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=GXO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-margin", "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=operating-margin&ticker=GXO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();