Werner Enterprises (WERN) Operating Expenses (2010 - 2026)
Werner Enterprises' Operating Expenses came in at $917.01 million for Q2 2026, up 33.5% from $686.83 million a year earlier and up 14.0% from the prior quarter.
Werner Enterprises (WERN) Operating Expenses (2010 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Werner Enterprises reported Operating Expenses of $3.28 billion, up 14.1% year-over-year; for FY2025, it came in at $2.96 billion, unchanged from FY2024.
- Operating Expenses carries a five-year compound annual growth rate of 6.7% (FY2020 to FY2025).
- Going back by year, Operating Expenses was $2.96 billion in FY2024 (-4.6%), $3.11 billion in FY2023 (+4.7%), $2.97 billion in FY2022 (+22.3%) and $2.43 billion in FY2021 (+13.1%).
- The Q2 2026 figure represents the highest quarterly Operating Expenses in data going back to Q1 2010.
- Year-over-year, Operating Expenses has increased for four consecutive quarters, with growth averaging 4.2% over the last eight quarters.
- The fastest year-over-year change in Operating Expenses over five years came in Q2 2026 (growth of 33.5%), and the weakest in Q2 2025 (a decline of 7.3%).
- Business Quant data shows WERN's Operating Expenses at $804.62 million (Q1 2026), $773.45 million (Q4 2025) and $784.52 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Union Pacific | 171.45 Bn | 165.97 Bn | - | 4.10 Bn |
| 2 | Csx | 90.36 Bn | 86.57 Bn | - | 2.43 Bn |
| 3 | United Parcel Service | 82.96 Bn | 59.85 Bn | - | 21.90 Bn |
| 4 | Canadian Pacific Kansas City | 77.40 Bn | 76.42 Bn | - | 1.95 Bn |
| 5 | Norfolk Southern | 73.28 Bn | 67.92 Bn | - | 2.34 Bn |
| 6 | Fedex | 69.58 Bn | 35.52 Bn | - | 23.46 Bn |
| 7 | Delta Air Lines | 49.43 Bn | 31.61 Bn | - | 18.73 Bn |
| 8 | Old Dominion Freight Line | 39.04 Bn | 38.30 Bn | - | 1.09 Bn |
| 9 | United Airlines Holdings | 31.23 Bn | -25.14 Bn | - | 16.58 Bn |
| 10 | Werner Enterprises | 1.97 Bn | 1.74 Bn | - | 917.01 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 917.01 Mn |
| Mar 31, 2026 | 804.62 Mn |
| Dec 31, 2025 | 773.45 Mn |
| Sep 30, 2025 | 784.52 Mn |
| Jun 30, 2025 | 686.83 Mn |
| Mar 31, 2025 | 717.95 Mn |
| Dec 31, 2024 | 741.33 Mn |
| Sep 30, 2024 | 728.11 Mn |
| Jun 30, 2024 | 741.19 Mn |
| Mar 31, 2024 | 753.49 Mn |
| Dec 31, 2023 | 784.01 Mn |
| Sep 30, 2023 | 779.84 Mn |
| Jun 30, 2023 | 763.90 Mn |
| Mar 31, 2023 | 779.33 Mn |
| Dec 31, 2022 | 773.11 Mn |
| Sep 30, 2022 | 751.35 Mn |
| Jun 30, 2022 | 761.35 Mn |
| Mar 31, 2022 | 681.09 Mn |
| Dec 31, 2021 | 666.73 Mn |
| Sep 30, 2021 | 631.57 Mn |
Werner Enterprises Operating Expenses 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=operating-expenses&ticker=WERN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=WERN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();