GXO Logistics (GXO) Cost of Revenue (2020 - 2026)
GXO Logistics' Cost of Revenue was $2.93 billion in Q2 2026, up 4.3% from $2.81 billion a year earlier and up 4.5% from the prior quarter.
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Analysis
GXO Logistics (GXO) Cost of Revenue (2020 - 2026) Analysis & Trends
On a trailing twelve-month basis, GXO Logistics' Cost of Revenue was $11.56 billion through Jun 30, 2026, up 7.2% year-over-year; for FY2025, it was $11.19 billion, up 13.6% from FY2024.
- Cost of Revenue has now increased for six consecutive years, with a five-year compound annual growth rate of 16.7% (FY2020 to FY2025).
- In earlier years, Cost of Revenue was $9.85 billion in FY2024 (+22.6%), $8.04 billion in FY2023 (+8.0%), $7.44 billion in FY2022 (+12.1%) and $6.64 billion in FY2021 (+28.4%).
- Quarterly Cost of Revenue has moved between $1.65 billion (Q3 2021) and $2.96 billion (Q4 2025) over five years.
- Compared with a year earlier, Cost of Revenue has increased for 21 straight quarters, with growth averaging 16.4% over the last eight quarters.
- Across the past five years, year-over-year growth in Cost of Revenue ran from 4.3% in Q2 2026 to 32.8% in Q3 2024.
- Per Business Quant data, GXO's Cost of Revenue in the three quarters before Q2 2026 was $2.81 billion (Q1 2026), $2.96 billion (Q4 2025) and $2.86 billion (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cost of Rev (Qtr) |
|---|---|---|---|---|---|
| 1 | Union Pacific | 174.04 Bn | 166.29 Bn | - | - |
| 2 | Csx | 93.63 Bn | 88.85 Bn | - | - |
| 3 | Canadian Pacific Kansas City | 78.71 Bn | 78.42 Bn | - | - |
| 4 | United Parcel Service | 75.71 Bn | 52.63 Bn | - | - |
| 5 | Norfolk Southern | 74.09 Bn | 68.55 Bn | - | - |
| 6 | Fedex | 70.69 Bn | 36.64 Bn | - | - |
| 7 | Delta Air Lines | 50.49 Bn | 32.68 Bn | - | - |
| 8 | Old Dominion Freight Line | 37.91 Bn | 37.17 Bn | - | - |
| 9 | United Airlines Holdings | 31.82 Bn | -25.88 Bn | - | - |
| 10 | GXO Logistics | 5.55 Bn | 2.83 Bn | 508.00 Mn | 2.93 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.93 Bn |
| Mar 31, 2026 | 2.81 Bn |
| Dec 31, 2025 | 2.96 Bn |
| Sep 30, 2025 | 2.86 Bn |
| Jun 30, 2025 | 2.81 Bn |
| Mar 31, 2025 | 2.56 Bn |
| Dec 31, 2024 | 2.74 Bn |
| Sep 30, 2024 | 2.67 Bn |
| Jun 30, 2024 | 2.39 Bn |
| Mar 31, 2024 | 2.06 Bn |
| Dec 31, 2023 | 2.16 Bn |
| Sep 30, 2023 | 2.01 Bn |
| Jun 30, 2023 | 1.96 Bn |
| Mar 31, 2023 | 1.91 Bn |
| Dec 31, 2022 | 2.04 Bn |
| Sep 30, 2022 | 1.89 Bn |
| Jun 30, 2022 | 1.78 Bn |
| Mar 31, 2022 | 1.75 Bn |
| Dec 31, 2021 | 1.91 Bn |
| Sep 30, 2021 | 1.65 Bn |
API Access
GXO Logistics Cost of 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=cost-of-revenue&ticker=GXO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cost-of-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=cost-of-revenue&ticker=GXO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();