GXO Logistics (GXO) Capital Expenditures (2020 - 2026)
GXO Logistics (GXO) recorded Capital Expenditures of $65 million in Q2 2026, up 38.3% from $47 million a year earlier and unchanged from the prior quarter.
Powered by 
Analysis
GXO Logistics (GXO) Capital Expenditures (2020 - 2026) Analysis & Trends
On a TTM basis, GXO Logistics' Capital Expenditures came in at $329 million as of Jun 30, 2026, up 1.9% year-over-year; for FY2025, it was $324 million, down 9.7% from FY2024.
- Annual Capital Expenditures has a five-year compound annual growth rate of 7.9% (FY2020 to FY2025).
- Across earlier years, Capital Expenditures came in at $359 million in FY2024 (+31.0%), $274 million in FY2023 (-19.9%), $342 million in FY2022 (+36.8%) and $250 million in FY2021 (+12.6%).
- Quarterly Capital Expenditures has ranged from $47 million in Q2 2025 to $144 million in Q3 2025 over the past five years.
- On a year-over-year basis, Capital Expenditures rose in five of the last eight quarters, with growth averaging 13.7%.
- Peak year-over-year performance for Capital Expenditures in the last five years was growth of 71.2% in Q2 2022, against a decline of 47.1% in Q4 2025 at the low end.
- Per Business Quant, the preceding three quarters came in at $65 million (Q1 2026), $55 million (Q4 2025) and $144 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Capex (Qtr) |
|---|---|---|---|---|---|
| 1 | Union Pacific | 170.50 Bn | 165.03 Bn | - | 873.00 Mn |
| 2 | Csx | 88.86 Bn | 85.07 Bn | - | 576.00 Mn |
| 3 | United Parcel Service | 82.91 Bn | 59.81 Bn | - | 693.00 Mn |
| 4 | Canadian Pacific Kansas City | 76.79 Bn | 75.81 Bn | - | 547.98 Mn |
| 5 | Norfolk Southern | 72.78 Bn | 67.42 Bn | - | 439.00 Mn |
| 6 | Fedex | 69.54 Bn | 35.48 Bn | - | 1.47 Bn |
| 7 | Delta Air Lines | 48.82 Bn | 31.01 Bn | - | 1.41 Bn |
| 8 | Old Dominion Freight Line | 38.83 Bn | 38.10 Bn | - | 77.04 Mn |
| 9 | United Airlines Holdings | 31.02 Bn | -25.36 Bn | - | 1.34 Bn |
| 10 | GXO Logistics | 5.46 Bn | 2.71 Bn | 508.00 Mn | 65.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 65.00 Mn |
| Mar 31, 2026 | 65.00 Mn |
| Dec 31, 2025 | 55.00 Mn |
| Sep 30, 2025 | 144.00 Mn |
| Jun 30, 2025 | 47.00 Mn |
| Mar 31, 2025 | 78.00 Mn |
| Dec 31, 2024 | 104.00 Mn |
| Sep 30, 2024 | 94.00 Mn |
| Jun 30, 2024 | 88.00 Mn |
| Mar 31, 2024 | 73.00 Mn |
| Dec 31, 2023 | 69.00 Mn |
| Sep 30, 2023 | 55.00 Mn |
| Jun 30, 2023 | 59.00 Mn |
| Mar 31, 2023 | 91.00 Mn |
| Dec 31, 2022 | 103.00 Mn |
| Sep 30, 2022 | 85.00 Mn |
| Jun 30, 2022 | 89.00 Mn |
| Mar 31, 2022 | 65.00 Mn |
| Dec 31, 2021 | 70.00 Mn |
| Sep 30, 2021 | 61.00 Mn |
API Access
GXO Logistics Capital Expenditures 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=capital-expenditures&ticker=GXO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "capital-expenditures", "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=capital-expenditures&ticker=GXO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();