GXO Logistics (GXO) Property, Plant & Equipment (Net) (2020 - 2026)
GXO Logistics (GXO) reported Property, Plant & Equipment (Net) of $1.26 billion for Q2 2026, down 0.2% from $1.26 billion a year earlier but up 6.8% from the prior quarter.
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Analysis
GXO Logistics (GXO) Property, Plant & Equipment (Net) (2020 - 2026) Analysis & Trends
At the end of FY2025, GXO Logistics posted Property, Plant & Equipment (Net) of $1.15 billion, down 0.8% from FY2024.
- Property, Plant & Equipment (Net) has a five-year compound annual growth rate of 8.4% (FY2020 to FY2025).
- By year, Property, Plant & Equipment (Net) came in at $1.16 billion in FY2024 (+21.7%), $953 million in FY2023 (-0.7%), $960 million in FY2022 (+11.2%) and $863 million in FY2021 (+12.1%).
- Five-year quarterly Property, Plant & Equipment (Net) spans a low of $833 million in Q1 2022 and a high of $1.26 billion in Q2 2025.
- Year over year, Property, Plant & Equipment (Net) has now declined in each of the last three quarters, with growth averaging 11.3% over the last eight quarters.
- The high point for year-over-year Property, Plant & Equipment (Net) in five years was Q1 2025 (growth of 27.9%); the low point was Q1 2026 (a decline of 2.9%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $1.18 billion (Q1 2026), $1.15 billion (Q4 2025) and $1.2 billion (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | PP&E (Net) (Qtr) |
|---|---|---|---|---|---|
| 1 | Union Pacific | 174.04 Bn | 166.29 Bn | - | 60.63 Bn |
| 2 | Csx | 93.63 Bn | 88.85 Bn | - | 37.14 Bn |
| 3 | Canadian Pacific Kansas City | 78.71 Bn | 78.42 Bn | - | 40.23 Bn |
| 4 | United Parcel Service | 75.71 Bn | 52.63 Bn | - | 37.89 Bn |
| 5 | Norfolk Southern | 74.09 Bn | 68.55 Bn | - | 36.86 Bn |
| 6 | Fedex | 70.69 Bn | 36.64 Bn | - | 42.04 Bn |
| 7 | Delta Air Lines | 50.49 Bn | 32.68 Bn | - | 42.21 Bn |
| 8 | Old Dominion Freight Line | 37.91 Bn | 37.17 Bn | - | 4.44 Bn |
| 9 | United Airlines Holdings | 31.82 Bn | -25.88 Bn | - | 49.37 Bn |
| 10 | GXO Logistics | 5.55 Bn | 2.83 Bn | 508.00 Mn | 1.26 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.26 Bn |
| Mar 31, 2026 | 1.18 Bn |
| Dec 31, 2025 | 1.15 Bn |
| Sep 30, 2025 | 1.20 Bn |
| Jun 30, 2025 | 1.26 Bn |
| Mar 31, 2025 | 1.22 Bn |
| Dec 31, 2024 | 1.16 Bn |
| Sep 30, 2024 | 1.16 Bn |
| Jun 30, 2024 | 1.09 Bn |
| Mar 31, 2024 | 951.00 Mn |
| Dec 31, 2023 | 953.00 Mn |
| Sep 30, 2023 | 923.00 Mn |
| Jun 30, 2023 | 965.00 Mn |
| Mar 31, 2023 | 964.00 Mn |
| Dec 31, 2022 | 960.00 Mn |
| Sep 30, 2022 | 914.00 Mn |
| Jun 30, 2022 | 905.00 Mn |
| Mar 31, 2022 | 833.00 Mn |
| Dec 31, 2021 | 863.00 Mn |
| Sep 30, 2021 | 851.00 Mn |
API Access
GXO Logistics Property, Plant & Equipment (Net) 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=property-plant-and-equipment-net&ticker=GXO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "property-plant-and-equipment-net", "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=property-plant-and-equipment-net&ticker=GXO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();