Csx (CSX) Property, Plant & Equipment (Net) (2009 - 2026)
Csx (CSX) reported Property, Plant & Equipment (Net) of $36.95 billion for Q2 2026, up 1.9% from $36.25 billion a year earlier and up 0.4% from the prior quarter.
Csx (CSX) Property, Plant & Equipment (Net) (2009 - 2026) Analysis & Trends
At the end of FY2025, Csx posted Property, Plant & Equipment (Net) of $36.81 billion, up 3.2% from FY2024.
- Property, Plant & Equipment (Net) has increased for 16 consecutive years, with a five-year compound annual growth rate of 2.6% (FY2020 to FY2025).
- By year, Property, Plant & Equipment (Net) came in at $35.66 billion in FY2024 (+2.7%), $34.72 billion in FY2023 (+1.9%), $34.07 billion in FY2022 (+3.2%) and $33.02 billion in FY2021 (+1.8%).
- The Q2 2026 figure ranks as the highest quarterly Property, Plant & Equipment (Net) in data going back to Q2 2009.
- Year over year, Property, Plant & Equipment (Net) has now increased in each of the last 65 quarters, with growth averaging 2.9% over the last eight quarters.
- Over the past five years, the year-over-year growth in Property, Plant & Equipment (Net) ranged from 1.3% (Q3 2021) to 3.9% (Q3 2025).
- Per Business Quant data, the three quarters before Q2 2026 came in at $36.82 billion (Q1 2026), $36.81 billion (Q4 2025) and $36.53 billion (Q3 2025).
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 |
|---|---|
| Jun 30, 2026 | 36.95 Bn |
| Mar 31, 2026 | 36.82 Bn |
| Dec 31, 2025 | 36.81 Bn |
| Sep 30, 2025 | 36.53 Bn |
| Jun 30, 2025 | 36.25 Bn |
| Mar 31, 2025 | 35.86 Bn |
| Dec 31, 2024 | 35.66 Bn |
| Sep 30, 2024 | 35.17 Bn |
| Jun 30, 2024 | 34.95 Bn |
| Mar 31, 2024 | 34.83 Bn |
| Dec 31, 2023 | 34.72 Bn |
| Sep 30, 2023 | 34.44 Bn |
| Jun 30, 2023 | 34.27 Bn |
| Mar 31, 2023 | 34.10 Bn |
| Dec 31, 2022 | 34.07 Bn |
| Sep 30, 2022 | 33.96 Bn |
| Jun 30, 2022 | 33.64 Bn |
| Mar 31, 2022 | 32.98 Bn |
| Dec 31, 2021 | 33.02 Bn |
| Sep 30, 2021 | 32.81 Bn |
Csx 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=CSX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "property-plant-and-equipment-net", "ticker": "CSX", "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=CSX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();