GXO Logistics (GXO) Gross Profit (2020 - 2026)
GXO Logistics (GXO) posted Gross Profit of $508.0 million for Q2 2026, up 3.67% on a QoQ basis from $490.0 million in Q1 2026, and up 4.53% year-over-year from $486.0 million in Q2 2025.
GXO Logistics (GXO) Gross Profit (2020 - 2026) Analysis & Trends
GXO Logistics has reported Gross Profit for 7 years, with the latest figure at $508.0 million in Q2 2026.
- On a quarterly basis, Gross Profit rose 4.53% year-over-year to $508.0 million in Q2 2026; TTM through Jun 2026 was $2.1 billion, a 9.3% increase from a year earlier, with the FY2025 full-year figure at $2.0 billion, up 7.11% from the prior year.
- Gross Profit was $508.0 million for Q2 2026 at GXO Logistics, up from $490.0 million in the prior quarter.
- The five-year high for Gross Profit was $545.0 million in Q4 2025, with the low at $335.0 million in Q1 2022.
- Average Gross Profit over 5 years is $451.9 million, with a median of $447.0 million recorded in 2023.
- The sharpest annual moves came in 2023 and 2024: Gross Profit grew 24.48% in 2023, then retreated 4.08% in 2024.
- Over 5 years, Gross Profit stood at $432.0 million in 2022, then fell by 0.46% to $430.0 million in 2023, then rose by 19.3% to $513.0 million in 2024, then advanced by 6.24% to $545.0 million in 2025, then slipped by 6.79% to $508.0 million in 2026.
- The last three Gross Profit figures came in at $508.0 million (Q2 2026), $490.0 million (Q1 2026), and $545.0 million (Q4 2025), per Business Quant data.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Copart | 27.11 Bn | 23.77 Bn | 732.88 Mn |
| 2 | Expeditors International Of Washington | 24.83 Bn | 23.80 Bn | 1.09 Bn |
| 3 | C. H. Robinson Worldwide | 17.92 Bn | 17.76 Bn | 1.11 Bn |
| 4 | Rb Global | 15.40 Bn | 14.87 Bn | 935.50 Mn |
| 5 | Ryder System | 9.14 Bn | 9.14 Bn | 1.45 Bn |
| 6 | Landstar System | 5.78 Bn | 5.43 Bn | 308.86 Mn |
| 7 | GXO Logistics | 5.27 Bn | 4.53 Bn | 508.00 Mn |
| 8 | Rxo | 3.34 Bn | 3.32 Bn | 302.00 Mn |
| 9 | Hub | 1.98 Bn | 1.89 Bn | 250.84 Mn |
| 10 | Cryoport | 862.04 Mn | 465.34 Mn | 22.82 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 508.00 Mn |
| Mar 31, 2026 | 490.00 Mn |
| Dec 31, 2025 | 545.00 Mn |
| Sep 30, 2025 | 538.00 Mn |
| Jun 30, 2025 | 486.00 Mn |
| Mar 31, 2025 | 419.00 Mn |
| Dec 31, 2024 | 513.00 Mn |
| Sep 30, 2024 | 486.00 Mn |
| Jun 30, 2024 | 457.00 Mn |
| Mar 31, 2024 | 400.00 Mn |
| Dec 31, 2023 | 430.00 Mn |
| Sep 30, 2023 | 459.00 Mn |
| Jun 30, 2023 | 437.00 Mn |
| Mar 31, 2023 | 417.00 Mn |
| Dec 31, 2022 | 432.00 Mn |
| Sep 30, 2022 | 402.00 Mn |
| Jun 30, 2022 | 381.00 Mn |
| Mar 31, 2022 | 335.00 Mn |
| Dec 31, 2021 | 350.00 Mn |
| Sep 30, 2021 | 323.00 Mn |
GXO Logistics Gross Profit 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=gross-profit&ticker=GXO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "gross-profit", "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=gross-profit&ticker=GXO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();