GXO Logistics (GXO) EBIT (2020 - 2026)
GXO Logistics (GXO) posted EBIT of $77.0 million for Q2 2026, up 97.44% on a QoQ basis from $39.0 million in Q1 2026, and down 13.48% year-over-year from $89.0 million in Q2 2025.
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GXO Logistics (GXO) EBIT (2020 - 2026) Analysis & Trends
GXO Logistics has reported EBIT for 7 years, with the latest figure at $77.0 million in Q2 2026.
- On a quarterly basis, EBIT fell 13.48% year-over-year to $77.0 million in Q2 2026; TTM through Jun 2026 was $328.0 million, a 52.56% increase from a year earlier, with the FY2025 full-year figure at $245.0 million, up 12.39% from the prior year.
- EBIT was $77.0 million for Q2 2026 at GXO Logistics, up from $39.0 million in the prior quarter.
- The five-year high for EBIT was $118.0 million in Q3 2025, with the low at -$56.0 million in Q1 2025.
- Average EBIT over 5 years is $63.3 million, with a median of $76.0 million recorded in 2024.
- The sharpest annual moves came in 2024 and 2026: EBIT tumbled 192.86% in 2024, then jumped 169.64% in 2026.
- Over 5 years, EBIT stood at $74.0 million in 2022, then gained by 17.57% to $87.0 million in 2023, then gained by 16.09% to $101.0 million in 2024, then fell by 6.93% to $94.0 million in 2025, then fell by 18.09% to $77.0 million in 2026.
- The last three EBIT figures came in at $77.0 million (Q2 2026), $39.0 million (Q1 2026), and $94.0 million (Q4 2025), per Business Quant data.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBIT (Qtr) |
|---|---|---|---|---|---|
| 1 | Copart | 27.11 Bn | 23.77 Bn | 732.88 Mn | 464.28 Mn |
| 2 | Expeditors International Of Washington | 24.83 Bn | 23.80 Bn | 1.09 Bn | 349.62 Mn |
| 3 | C. H. Robinson Worldwide | 17.92 Bn | 17.76 Bn | 1.11 Bn | 255.74 Mn |
| 4 | Rb Global | 15.40 Bn | 14.87 Bn | 935.50 Mn | 224.80 Mn |
| 5 | Ryder System | 9.14 Bn | 9.14 Bn | 1.45 Bn | -1.71 Bn |
| 6 | Landstar System | 5.78 Bn | 5.43 Bn | 308.86 Mn | 66.23 Mn |
| 7 | GXO Logistics | 5.27 Bn | 4.53 Bn | 508.00 Mn | 77.00 Mn |
| 8 | Rxo | 3.34 Bn | 3.32 Bn | 302.00 Mn | 1.00 Mn |
| 9 | Hub | 1.98 Bn | 1.89 Bn | 250.84 Mn | 39.44 Mn |
| 10 | Cryoport | 862.04 Mn | 465.34 Mn | 22.82 Mn | -10.04 Mn |
Historic Data
Download Data
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 |
API Access
GXO Logistics EBIT 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=ebit&ticker=GXO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebit", "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=ebit&ticker=GXO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();