Old Dominion Freight Line (ODFL) Property, Plant & Equipment (Net) (2009 - 2026)
Old Dominion Freight Line (ODFL) reported Property, Plant & Equipment (Net) of $4.44 billion for Q2 2026, down 3.3% from $4.59 billion a year earlier and down 0.6% from the prior quarter.
Old Dominion Freight Line (ODFL) Property, Plant & Equipment (Net) (2009 - 2026) Analysis & Trends
At the end of FY2025, Old Dominion Freight Line posted Property, Plant & Equipment (Net) of $4.5 billion, unchanged from FY2024.
- Property, Plant & Equipment (Net) has a five-year compound annual growth rate of 9.1% (FY2020 to FY2025).
- By year, Property, Plant & Equipment (Net) came in at $4.51 billion in FY2024 (+10.0%), $4.1 billion in FY2023 (+11.1%), $3.69 billion in FY2022 (+14.7%) and $3.22 billion in FY2021 (+10.4%).
- The Q2 2026 figure ranks as the lowest quarterly Property, Plant & Equipment (Net) since Q3 2024.
- Year over year, Property, Plant & Equipment (Net) gained in five of the last eight quarters, with growth averaging 4.3%.
- The high point for year-over-year Property, Plant & Equipment (Net) in five years was Q1 2023 (growth of 19.1%); the low point was Q2 2026 (a decline of 3.3%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $4.47 billion (Q1 2026), $4.5 billion (Q4 2025) and $4.59 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 | 4.44 Bn |
| Mar 31, 2026 | 4.47 Bn |
| Dec 31, 2025 | 4.50 Bn |
| Sep 30, 2025 | 4.59 Bn |
| Jun 30, 2025 | 4.59 Bn |
| Mar 31, 2025 | 4.50 Bn |
| Dec 31, 2024 | 4.51 Bn |
| Sep 30, 2024 | 4.43 Bn |
| Jun 30, 2024 | 4.28 Bn |
| Mar 31, 2024 | 4.13 Bn |
| Dec 31, 2023 | 4.10 Bn |
| Sep 30, 2023 | 4.09 Bn |
| Jun 30, 2023 | 4.00 Bn |
| Mar 31, 2023 | 3.84 Bn |
| Dec 31, 2022 | 3.69 Bn |
| Sep 30, 2022 | 3.49 Bn |
| Jun 30, 2022 | 3.38 Bn |
| Mar 31, 2022 | 3.23 Bn |
| Dec 31, 2021 | 3.22 Bn |
| Sep 30, 2021 | 3.11 Bn |
Old Dominion Freight Line 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=ODFL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "property-plant-and-equipment-net", "ticker": "ODFL", "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=ODFL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();