GXO Logistics (GXO) Asset Utilization Ratio (2021 - 2026)
GXO Logistics (GXO) posted Asset Utilization Ratio of 1.11 for Q2 2026, up 0.6% on a QoQ basis from 1.1 in Q1 2026, and up 1.79% year-over-year from 1.09 in Q2 2025.
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GXO Logistics (GXO) Asset Utilization Ratio (2021 - 2026) Analysis & Trends
GXO Logistics has reported Asset Utilization Ratio for 6 years, with the latest figure at 1.11 in Q2 2026.
- On a quarterly basis, Asset Utilization Ratio rose 1.79% year-over-year to 1.11 in Q2 2026; TTM through Jun 2026 was 1.11, a 1.79% increase from a year earlier, with the FY2025 full-year figure at 1.12, down 0.63% from the prior year.
- Asset Utilization Ratio was 1.11 for Q2 2026 at GXO Logistics, up from 1.1 in the prior quarter.
- The five-year high for Asset Utilization Ratio was 1.14 in Q1 2022, with the low at 0.95 in Q3 2024.
- Average Asset Utilization Ratio over 5 years is 1.05, with a median of 1.06 recorded in 2023.
- The sharpest annual moves came in 2023 and 2025: Asset Utilization Ratio retreated 11.47% in 2023, then gained 14.13% in 2025.
- Over 5 years, Asset Utilization Ratio stood at 1.0 in 2022, then advanced by 5.38% to 1.05 in 2023, then fell by 3.86% to 1.01 in 2024, then gained by 7.88% to 1.09 in 2025, then advanced by 1.84% to 1.11 in 2026.
- The last three Asset Utilization Ratio figures came in at 1.11 (Q2 2026), 1.1 (Q1 2026), and 1.09 (Q4 2025), per Business Quant data.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Asset Util. (Qtr) |
|---|---|---|---|---|---|
| 1 | Copart | 27.11 Bn | 23.77 Bn | 732.88 Mn | 0.46 |
| 2 | Expeditors International Of Washington | 24.83 Bn | 23.80 Bn | 1.09 Bn | 2.43 |
| 3 | C. H. Robinson Worldwide | 17.92 Bn | 17.76 Bn | 1.11 Bn | 3.07 |
| 4 | Rb Global | 15.40 Bn | 14.87 Bn | 935.50 Mn | 0.39 |
| 5 | Ryder System | 9.14 Bn | 9.14 Bn | 1.45 Bn | 0.79 |
| 6 | Landstar System | 5.78 Bn | 5.43 Bn | 308.86 Mn | 2.98 |
| 7 | GXO Logistics | 5.27 Bn | 4.53 Bn | 508.00 Mn | 1.11 |
| 8 | Rxo | 3.34 Bn | 3.32 Bn | 302.00 Mn | 1.81 |
| 9 | Hub | 1.98 Bn | 1.89 Bn | 250.84 Mn | 1.31 |
| 10 | Cryoport | 862.04 Mn | 465.34 Mn | 22.82 Mn | 0.25 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.11 |
| Mar 31, 2026 | 1.10 |
| Dec 31, 2025 | 1.09 |
| Sep 30, 2025 | 1.08 |
| Jun 30, 2025 | 1.09 |
| Mar 31, 2025 | 1.08 |
| Dec 31, 2024 | 1.01 |
| Sep 30, 2024 | 0.95 |
| Jun 30, 2024 | 1.00 |
| Mar 31, 2024 | 1.05 |
| Dec 31, 2023 | 1.05 |
| Sep 30, 2023 | 1.06 |
| Jun 30, 2023 | 1.04 |
| Mar 31, 2023 | 1.01 |
| Dec 31, 2022 | 1.00 |
| Sep 30, 2022 | 1.00 |
| Jun 30, 2022 | 1.07 |
| Mar 31, 2022 | 1.14 |
| Dec 31, 2021 | 1.10 |
| Sep 30, 2021 | 1.05 |
API Access
GXO Logistics Asset Utilization Ratio 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=asset-utilization-ratio&ticker=GXO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "asset-utilization-ratio", "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=asset-utilization-ratio&ticker=GXO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();