GXO Logistics (GXO) Revenue (2020 - 2026)
GXO Logistics (GXO) posted Revenue of $3.4 billion for Q2 2026, up 4.34% on a QoQ basis from $3.3 billion in Q1 2026, and up 4.3% year-over-year from $3.3 billion in Q2 2025.
GXO Logistics (GXO) Revenue (2020 - 2026) Analysis & Trends
GXO Logistics has reported Revenue for 7 years, with the latest figure at $3.4 billion in Q2 2026.
- On a quarterly basis, Revenue rose 4.3% year-over-year to $3.4 billion in Q2 2026; TTM through Jun 2026 was $13.6 billion, a 7.55% increase from a year earlier, with the FY2025 full-year figure at $13.2 billion, up 12.55% from the prior year.
- Revenue was $3.4 billion for Q2 2026 at GXO Logistics, up from $3.3 billion in the prior quarter.
- The five-year high for Revenue was $3.5 billion in Q4 2025, with the low at $2.1 billion in Q1 2022.
- Average Revenue over 5 years is $2.8 billion, with a median of $2.7 billion recorded in 2023.
- The sharpest annual moves came in 2024 and 2026: Revenue increased 27.76% in 2024, then advanced 4.3% in 2026.
- Over 5 years, Revenue stood at $2.5 billion in 2022, then rose by 4.99% to $2.6 billion in 2023, then grew by 25.48% to $3.2 billion in 2024, then grew by 7.91% to $3.5 billion in 2025, then fell by 1.88% to $3.4 billion in 2026.
- The last three Revenue figures came in at $3.4 billion (Q2 2026), $3.3 billion (Q1 2026), and $3.5 billion (Q4 2025), per Business Quant data.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Revenue (Qtr) |
|---|---|---|---|---|---|
| 1 | Copart | 27.11 Bn | 23.77 Bn | 732.88 Mn | 1.24 Bn |
| 2 | Expeditors International Of Washington | 24.83 Bn | 23.80 Bn | 1.09 Bn | 3.50 Bn |
| 3 | C. H. Robinson Worldwide | 17.92 Bn | 17.76 Bn | 1.11 Bn | 4.93 Bn |
| 4 | Rb Global | 15.40 Bn | 14.87 Bn | 935.50 Mn | 1.32 Bn |
| 5 | Ryder System | 9.14 Bn | 9.14 Bn | 1.45 Bn | 3.35 Bn |
| 6 | Landstar System | 5.78 Bn | 5.43 Bn | 308.86 Mn | 1.43 Bn |
| 7 | GXO Logistics | 5.27 Bn | 4.53 Bn | 508.00 Mn | 3.44 Bn |
| 8 | Rxo | 3.34 Bn | 3.32 Bn | 302.00 Mn | 1.77 Bn |
| 9 | Hub | 1.98 Bn | 1.89 Bn | 250.84 Mn | 934.50 Mn |
| 10 | Cryoport | 862.04 Mn | 465.34 Mn | 22.82 Mn | 48.97 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 3.44 Bn |
| Mar 31, 2026 | 3.30 Bn |
| Dec 31, 2025 | 3.51 Bn |
| Sep 30, 2025 | 3.40 Bn |
| Jun 30, 2025 | 3.30 Bn |
| Mar 31, 2025 | 2.98 Bn |
| Dec 31, 2024 | 3.25 Bn |
| Sep 30, 2024 | 3.16 Bn |
| Jun 30, 2024 | 2.85 Bn |
| Mar 31, 2024 | 2.46 Bn |
| Dec 31, 2023 | 2.59 Bn |
| Sep 30, 2023 | 2.47 Bn |
| Jun 30, 2023 | 2.39 Bn |
| Mar 31, 2023 | 2.32 Bn |
| Dec 31, 2022 | 2.47 Bn |
| Sep 30, 2022 | 2.29 Bn |
| Jun 30, 2022 | 2.16 Bn |
| Mar 31, 2022 | 2.08 Bn |
| Dec 31, 2021 | 2.26 Bn |
| Sep 30, 2021 | 1.97 Bn |
GXO Logistics Revenue 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=revenue&ticker=GXO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "revenue", "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=revenue&ticker=GXO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();