Werner Enterprises (WERN) Buildings (2009 - 2025)
Werner Enterprises' Buildings was $363.78 million in Q4 2025, up 7.6% from $338.17 million a year earlier.
Analysis
Werner Enterprises (WERN) Buildings (2009 - 2025) Analysis & Trends
From Q4 2009 onward, Werner Enterprises has reported Buildings for 17 quarters.
- Buildings has now increased for 11 consecutive years, with a five-year compound annual growth rate of 7.5% (FY2020 to FY2025).
- In earlier years, Buildings was $338.17 million in FY2024 (+5.4%), $320.98 million in FY2023 (+3.8%), $309.24 million in FY2022 (+7.6%) and $287.33 million in FY2021 (+13.3%).
- The Q4 2025 figure marks the highest quarterly Buildings in data going back to Q4 2009.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Union Pacific | 171.45 Bn | 165.97 Bn | - |
| 2 | Csx | 90.36 Bn | 86.57 Bn | - |
| 3 | United Parcel Service | 82.96 Bn | 59.85 Bn | - |
| 4 | Canadian Pacific Kansas City | 77.40 Bn | 76.42 Bn | - |
| 5 | Norfolk Southern | 73.28 Bn | 67.92 Bn | - |
| 6 | Fedex | 69.58 Bn | 35.52 Bn | - |
| 7 | Delta Air Lines | 49.43 Bn | 31.61 Bn | - |
| 8 | Old Dominion Freight Line | 39.04 Bn | 38.30 Bn | - |
| 9 | United Airlines Holdings | 31.23 Bn | -25.14 Bn | - |
| 10 | Werner Enterprises | 1.97 Bn | 1.74 Bn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 363.78 Mn |
| Dec 31, 2024 | 338.17 Mn |
| Dec 31, 2023 | 320.98 Mn |
| Dec 31, 2022 | 309.24 Mn |
| Dec 31, 2021 | 287.33 Mn |
| Dec 31, 2020 | 253.71 Mn |
| Dec 31, 2019 | 199.73 Mn |
| Dec 31, 2018 | 188.17 Mn |
| Dec 31, 2017 | 171.62 Mn |
| Dec 31, 2016 | 148.44 Mn |
| Dec 31, 2015 | 134.60 Mn |
| Dec 31, 2014 | 130.62 Mn |
| Dec 31, 2013 | 132.02 Mn |
| Dec 31, 2012 | 132.20 Mn |
| Dec 31, 2011 | 130.23 Mn |
| Dec 31, 2010 | 128.91 Mn |
| Dec 31, 2009 | 128.11 Mn |
API Access
Werner Enterprises Buildings 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=buildings&ticker=WERN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "buildings", "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=buildings&ticker=WERN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();