GXO Logistics (GXO) Operating Income (2020 - 2026)
GXO Logistics (GXO) reported Operating Income of $77 million for Q2 2026, down 13.5% from $89 million a year earlier but up 97.4% from the prior quarter.
GXO Logistics (GXO) Operating Income (2020 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, GXO Logistics' Operating Income came in at $328 million, up 52.6% year-over-year; for FY2025, it came in at $245 million, up 12.4% from FY2024.
- Operating Income has a five-year compound annual growth rate of 72.6% (FY2020 to FY2025).
- By year, Operating Income came in at $218 million in FY2024 (-31.4%), $318 million in FY2023 (+31.4%), $242 million in FY2022 (+60.3%) and $151 million in FY2021 (+843.8%).
- Five-year quarterly Operating Income spans a low of -$56 million in Q1 2025 and a high of $118 million in Q3 2025.
- Year over year, Operating Income gained in three of the last six quarters, with growth averaging 8.3%.
- The high point for year-over-year Operating Income in five years was Q2 2022 (growth of 168.2%); the low point was Q3 2021 (a decline of 26.5%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $39 million (Q1 2026), $94 million (Q4 2025) and $118 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Op. Inc (Qtr) |
|---|---|---|---|---|---|
| 1 | Union Pacific | 170.65 Bn | 165.18 Bn | - | 2.76 Bn |
| 2 | Csx | 89.70 Bn | 85.91 Bn | - | 1.51 Bn |
| 3 | United Parcel Service | 84.71 Bn | 61.60 Bn | - | 930.00 Mn |
| 4 | Canadian Pacific Kansas City | 78.00 Bn | 77.02 Bn | - | 1.06 Bn |
| 5 | Norfolk Southern | 73.24 Bn | 67.88 Bn | - | 1.12 Bn |
| 6 | Fedex | 70.67 Bn | 36.62 Bn | - | 1.55 Bn |
| 7 | Delta Air Lines | 50.97 Bn | 33.15 Bn | - | 1.45 Bn |
| 8 | Old Dominion Freight Line | 39.24 Bn | 38.51 Bn | - | 465.30 Mn |
| 9 | United Airlines Holdings | 32.98 Bn | -23.39 Bn | - | 1.10 Bn |
| 10 | GXO Logistics | 5.57 Bn | 2.82 Bn | 508.00 Mn | 77.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 77.00 Mn |
| Mar 31, 2026 | 39.00 Mn |
| Dec 31, 2025 | 94.00 Mn |
| Sep 30, 2025 | 118.00 Mn |
| Jun 30, 2025 | 89.00 Mn |
| Mar 31, 2025 | -56.00 Mn |
| Dec 31, 2024 | 101.00 Mn |
| Sep 30, 2024 | 81.00 Mn |
| Jun 30, 2024 | 75.00 Mn |
| Mar 31, 2024 | -39.00 Mn |
| Dec 31, 2023 | 87.00 Mn |
| Sep 30, 2023 | 90.00 Mn |
| Jun 30, 2023 | 99.00 Mn |
| Mar 31, 2023 | 42.00 Mn |
| Dec 31, 2022 | 74.00 Mn |
| Sep 30, 2022 | 72.00 Mn |
| Jun 30, 2022 | 59.00 Mn |
| Mar 31, 2022 | 37.00 Mn |
| Dec 31, 2021 | 63.00 Mn |
| Sep 30, 2021 | 36.00 Mn |
GXO Logistics Operating 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=operating-income&ticker=GXO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-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=operating-income&ticker=GXO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();