Fedex (FDX) Property, Plant & Equipment (Net) (2009 - 2026)
Fedex (FDX) recorded Property, Plant & Equipment (Net) of $42.04 billion in fiscal Q4 2026 (quarter ended May 31, 2026), up 1.0% from $41.64 billion a year earlier and up 1.2% from the prior quarter.
Fedex (FDX) Property, Plant & Equipment (Net) (2009 - 2026) Analysis & Trends
Starting with fiscal Q4 2009, Fedex's Property, Plant & Equipment (Net) history includes 66 quarters.
- Annual Property, Plant & Equipment (Net) has increased for 17 straight fiscal years, with a five-year compound annual growth rate of 3.3% (FY2021 to FY2026).
- Across earlier fiscal years, Property, Plant & Equipment (Net) came in at $41.64 billion in FY2025 (+0.4%), $41.49 billion in FY2024 (+1.9%), $40.7 billion in FY2023 (+6.8%) and $38.09 billion in FY2022 (+6.5%).
- The fiscal Q4 2026 figure is the highest quarterly Property, Plant & Equipment (Net) in data going back to fiscal Q4 2009.
- On a year-over-year basis, Property, Plant & Equipment (Net) has increased for five consecutive quarters, with growth averaging 0.2% over the last eight quarters.
- Peak year-over-year performance for Property, Plant & Equipment (Net) in the last five years was growth of 7.3% in fiscal Q2 2022, against a decline of 1.4% in fiscal Q3 2025 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $41.54 billion (Q3 2026), $41.32 billion (Q2 2026) and $41.38 billion (Q1 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | PP&E (Net) (Qtr) |
|---|---|---|---|---|---|
| 1 | Union Pacific | 165.28 Bn | 159.81 Bn | - | 60.20 Bn |
| 2 | Csx | 87.86 Bn | 84.08 Bn | - | 36.95 Bn |
| 3 | Canadian Pacific Kansas City | 75.56 Bn | 75.27 Bn | - | 41.33 Bn |
| 4 | Norfolk Southern | 71.27 Bn | 65.91 Bn | - | 36.63 Bn |
| 5 | United Parcel Service | 69.70 Bn | 46.62 Bn | - | 37.89 Bn |
| 6 | Fedex | 68.71 Bn | 34.65 Bn | - | 42.04 Bn |
| 7 | Delta Air Lines | 55.32 Bn | 37.50 Bn | - | 41.54 Bn |
| 8 | Old Dominion Freight Line | 37.44 Bn | 36.71 Bn | - | 4.44 Bn |
| 9 | United Airlines Holdings | 36.52 Bn | -19.85 Bn | - | 47.96 Bn |
| 10 | Ryanair Holdings | 28.73 Bn | 12.74 Bn | 3.13 Bn | 13.20 Bn |
Historic Data
| Date | Value |
|---|---|
| May 31, 2026 | 42.04 Bn |
| Feb 28, 2026 | 41.54 Bn |
| Nov 30, 2025 | 41.32 Bn |
| Aug 31, 2025 | 41.38 Bn |
| May 31, 2025 | 41.64 Bn |
| Feb 28, 2025 | 40.96 Bn |
| Nov 30, 2024 | 41.01 Bn |
| Aug 31, 2024 | 41.26 Bn |
| May 31, 2024 | 41.49 Bn |
| Feb 29, 2024 | 41.53 Bn |
| Nov 30, 2023 | 41.53 Bn |
| Aug 31, 2023 | 41.17 Bn |
| May 31, 2023 | 40.70 Bn |
| Feb 28, 2023 | 39.85 Bn |
| Nov 30, 2022 | 39.72 Bn |
| Aug 31, 2022 | 38.81 Bn |
| May 31, 2022 | 38.09 Bn |
| Feb 28, 2022 | 37.38 Bn |
| Nov 30, 2021 | 37.15 Bn |
| Aug 31, 2021 | 36.48 Bn |
Fedex 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=FDX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "property-plant-and-equipment-net", "ticker": "FDX", "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=FDX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();