Werner Enterprises (WERN) Sales of Property, Plant and Equipment (2009 - 2026)
Werner Enterprises (WERN) reported Sales of Property, Plant and Equipment of $39.63 million for Q2 2026, up 74.5% from $22.71 million a year earlier but down 22.0% from the prior quarter.
Werner Enterprises (WERN) Sales of Property, Plant and Equipment (2009 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Werner Enterprises' Sales of Property, Plant and Equipment came in at $124.26 million, down 18.4% year-over-year; for FY2025, it came in at $87.62 million, down 51.0% from FY2024.
- Sales of Property, Plant and Equipment has a five-year compound annual growth rate of -9.8% (FY2020 to FY2025).
- By year, Sales of Property, Plant and Equipment came in at $178.91 million in FY2024 (-5.9%), $190.09 million in FY2023 (+0.2%), $189.67 million in FY2022 (+6.7%) and $177.8 million in FY2021 (+21.1%).
- Five-year quarterly Sales of Property, Plant and Equipment spans a low of $16.36 million in Q4 2025 and a high of $63.84 million in Q4 2022.
- Year over year, Sales of Property, Plant and Equipment gained in three of the last eight quarters, with an average decline of 1.4%.
- The high point for year-over-year Sales of Property, Plant and Equipment in five years was Q2 2026 (growth of 74.5%); the low point was Q4 2025 (a decline of 68.5%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $50.8 million (Q1 2026), $16.36 million (Q4 2025) and $17.46 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | PP&E (Sale) (Qtr) |
|---|---|---|---|---|---|
| 1 | Union Pacific | 171.45 Bn | 165.97 Bn | - | - |
| 2 | Csx | 90.36 Bn | 86.57 Bn | - | 73.00 Mn |
| 3 | United Parcel Service | 82.96 Bn | 59.85 Bn | - | 116.00 Mn |
| 4 | Canadian Pacific Kansas City | 77.40 Bn | 76.42 Bn | - | 2.89 Mn |
| 5 | Norfolk Southern | 73.28 Bn | 67.92 Bn | - | 15.00 Mn |
| 6 | Fedex | 69.58 Bn | 35.52 Bn | - | 24.00 Mn |
| 7 | Delta Air Lines | 49.43 Bn | 31.61 Bn | - | - |
| 8 | Old Dominion Freight Line | 39.04 Bn | 38.30 Bn | - | 29.47 Mn |
| 9 | United Airlines Holdings | 31.23 Bn | -25.14 Bn | - | 24.00 Mn |
| 10 | Werner Enterprises | 1.97 Bn | 1.74 Bn | - | 39.63 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 39.63 Mn |
| Mar 31, 2026 | 50.80 Mn |
| Dec 31, 2025 | 16.36 Mn |
| Sep 30, 2025 | 17.46 Mn |
| Jun 30, 2025 | 22.71 Mn |
| Mar 31, 2025 | 31.08 Mn |
| Dec 31, 2024 | 52.02 Mn |
| Sep 30, 2024 | 46.56 Mn |
| Jun 30, 2024 | 41.14 Mn |
| Mar 31, 2024 | 39.20 Mn |
| Dec 31, 2023 | 34.16 Mn |
| Sep 30, 2023 | 48.80 Mn |
| Jun 30, 2023 | 48.10 Mn |
| Mar 31, 2023 | 59.02 Mn |
| Dec 31, 2022 | 63.84 Mn |
| Sep 30, 2022 | 51.92 Mn |
| Jun 30, 2022 | 37.36 Mn |
| Mar 31, 2022 | 36.56 Mn |
| Dec 31, 2021 | 45.05 Mn |
| Sep 30, 2021 | 42.72 Mn |
Werner Enterprises Sales of Property, Plant and Equipment 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=sales-of-property-plant-and-equipment&ticker=WERN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "sales-of-property-plant-and-equipment", "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=sales-of-property-plant-and-equipment&ticker=WERN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();