Werner Enterprises (WERN) Property, Plant & Equipment (Net) (2009 - 2026)
Werner Enterprises (WERN) reported Property, Plant & Equipment (Net) of $1.83 billion for Q2 2026, down 2.4% from $1.88 billion a year earlier and down 3.6% from the prior quarter.
Werner Enterprises (WERN) Property, Plant & Equipment (Net) (2009 - 2026) Analysis & Trends
At the end of FY2025, Werner Enterprises posted Property, Plant & Equipment (Net) of $1.79 billion, down 7.4% from FY2024.
- Property, Plant & Equipment (Net) has a five-year compound annual growth rate of 3.0% (FY2020 to FY2025).
- By year, Property, Plant & Equipment (Net) came in at $1.93 billion in FY2024 (-2.0%), $1.97 billion in FY2023 (+8.1%), $1.83 billion in FY2022 (+13.1%) and $1.61 billion in FY2021 (+4.5%).
- Five-year quarterly Property, Plant & Equipment (Net) spans a low of $1.61 billion in Q3 2021 and a high of $2.02 billion in Q3 2024.
- Year over year, Property, Plant & Equipment (Net) gained in two of the last eight quarters, with an average decline of 3.0%.
- The high point for year-over-year Property, Plant & Equipment (Net) in five years was Q2 2023 (growth of 16.4%); the low point was Q3 2025 (a decline of 8.0%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $1.9 billion (Q1 2026), $1.79 billion (Q4 2025) and $1.86 billion (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | PP&E (Net) (Qtr) |
|---|---|---|---|---|---|
| 1 | Union Pacific | 171.45 Bn | 165.97 Bn | - | 60.20 Bn |
| 2 | Csx | 90.36 Bn | 86.57 Bn | - | 36.95 Bn |
| 3 | United Parcel Service | 82.96 Bn | 59.85 Bn | - | 37.89 Bn |
| 4 | Canadian Pacific Kansas City | 77.40 Bn | 76.42 Bn | - | 40.23 Bn |
| 5 | Norfolk Southern | 73.28 Bn | 67.92 Bn | - | 36.63 Bn |
| 6 | Fedex | 69.58 Bn | 35.52 Bn | - | 42.04 Bn |
| 7 | Delta Air Lines | 49.43 Bn | 31.61 Bn | - | 42.21 Bn |
| 8 | Old Dominion Freight Line | 39.04 Bn | 38.30 Bn | - | 4.44 Bn |
| 9 | United Airlines Holdings | 31.23 Bn | -25.14 Bn | - | 47.96 Bn |
| 10 | Werner Enterprises | 1.97 Bn | 1.74 Bn | - | 1.83 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.83 Bn |
| Mar 31, 2026 | 1.90 Bn |
| Dec 31, 2025 | 1.79 Bn |
| Sep 30, 2025 | 1.86 Bn |
| Jun 30, 2025 | 1.88 Bn |
| Mar 31, 2025 | 1.87 Bn |
| Dec 31, 2024 | 1.93 Bn |
| Sep 30, 2024 | 2.02 Bn |
| Jun 30, 2024 | 1.96 Bn |
| Mar 31, 2024 | 1.93 Bn |
| Dec 31, 2023 | 1.97 Bn |
| Sep 30, 2023 | 1.99 Bn |
| Jun 30, 2023 | 1.94 Bn |
| Mar 31, 2023 | 1.85 Bn |
| Dec 31, 2022 | 1.83 Bn |
| Sep 30, 2022 | 1.72 Bn |
| Jun 30, 2022 | 1.67 Bn |
| Mar 31, 2022 | 1.61 Bn |
| Dec 31, 2021 | 1.61 Bn |
| Sep 30, 2021 | 1.61 Bn |
Werner Enterprises 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=WERN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "property-plant-and-equipment-net", "ticker": "WERN", "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=WERN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();