GXO Logistics (GXO) Net Income (2020 - 2026)
GXO Logistics (GXO) posted Net Income of $27.0 million for Q2 2026, up 440.0% on a QoQ basis from $5.0 million in Q1 2026, and down 3.57% year-over-year from $28.0 million in Q2 2025.
GXO Logistics (GXO) Net Income (2020 - 2026) Analysis & Trends
GXO Logistics has reported Net Income for 7 years, with the latest figure at $27.0 million in Q2 2026.
- On a quarterly basis, Net Income fell 3.57% year-over-year to $27.0 million in Q2 2026; TTM through Jun 2026 was $135.0 million, a 98.53% increase from a year earlier, with the FY2025 full-year figure at $36.0 million, down 73.91% from the prior year.
- Net Income was $27.0 million for Q2 2026 at GXO Logistics, up from $5.0 million in the prior quarter.
- The five-year high for Net Income was $100.0 million in Q4 2024, with the low at -$95.0 million in Q1 2025.
- Average Net Income over 5 years is $35.5 million, with a median of $41.0 million recorded in 2024.
- The sharpest annual moves came in 2022 and 2024: Net Income soared 271.43% in 2022, then plunged 238.46% in 2024.
- Over 5 years, Net Income stood at $46.0 million in 2022, then surged by 58.7% to $73.0 million in 2023, then soared by 36.99% to $100.0 million in 2024, then slumped by 57.0% to $43.0 million in 2025, then plunged by 37.21% to $27.0 million in 2026.
- The last three Net Income figures came in at $27.0 million (Q2 2026), $5.0 million (Q1 2026), and $43.0 million (Q4 2025), per Business Quant data.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Net Income (Qtr) |
|---|---|---|---|---|---|
| 1 | Copart | 26.66 Bn | 23.33 Bn | 732.88 Mn | 401.39 Mn |
| 2 | Expeditors International Of Washington | 24.38 Bn | 23.35 Bn | 1.09 Bn | 267.26 Mn |
| 3 | C. H. Robinson Worldwide | 17.52 Bn | 17.36 Bn | 1.11 Bn | 186.79 Mn |
| 4 | Rb Global | 15.43 Bn | 14.90 Bn | 935.50 Mn | 143.60 Mn |
| 5 | Ryder System | 9.07 Bn | 9.07 Bn | 1.45 Bn | 133.00 Mn |
| 6 | Landstar System | 5.72 Bn | 5.38 Bn | 308.86 Mn | 48.95 Mn |
| 7 | GXO Logistics | 5.25 Bn | 4.52 Bn | 508.00 Mn | 27.00 Mn |
| 8 | Rxo | 3.26 Bn | 3.25 Bn | 302.00 Mn | -9.00 Mn |
| 9 | Hub | 1.94 Bn | 1.85 Bn | 250.84 Mn | 28.93 Mn |
| 10 | Cryoport | 889.89 Mn | 493.20 Mn | 22.82 Mn | -8.26 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 27.00 Mn |
| Mar 31, 2026 | 5.00 Mn |
| Dec 31, 2025 | 43.00 Mn |
| Sep 30, 2025 | 60.00 Mn |
| Jun 30, 2025 | 28.00 Mn |
| Mar 31, 2025 | -95.00 Mn |
| Dec 31, 2024 | 100.00 Mn |
| Sep 30, 2024 | 35.00 Mn |
| Jun 30, 2024 | 39.00 Mn |
| Mar 31, 2024 | -36.00 Mn |
| Dec 31, 2023 | 73.00 Mn |
| Sep 30, 2023 | 68.00 Mn |
| Jun 30, 2023 | 66.00 Mn |
| Mar 31, 2023 | 26.00 Mn |
| Dec 31, 2022 | 46.00 Mn |
| Sep 30, 2022 | 64.00 Mn |
| Jun 30, 2022 | 52.00 Mn |
| Mar 31, 2022 | 38.00 Mn |
| Dec 31, 2021 | 57.00 Mn |
| Sep 30, 2021 | 73.00 Mn |
GXO Logistics Net Income 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=net-income&ticker=GXO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "net-income", "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=net-income&ticker=GXO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();