Werner Enterprises (WERN) Accumulated Expenses (2009 - 2026)
Werner Enterprises' Accumulated Expenses was $127.41 million in Q2 2026, up 5.2% from $121.14 million a year earlier but down 4.1% from the prior quarter.
Werner Enterprises (WERN) Accumulated Expenses (2009 - 2026) Analysis & Trends
At the end of FY2025, Accumulated Expenses at Werner Enterprises came in at $116.03 million, up 3.2% from FY2024.
- Accumulated Expenses has now increased for three consecutive years, with a five-year compound annual growth rate of 2.6% (FY2020 to FY2025).
- In earlier years, Accumulated Expenses was $112.46 million in FY2024 (+0.3%), $112.08 million in FY2023 (+13.2%), $98.98 million in FY2022 (-2.3%) and $101.35 million in FY2021 (-0.6%).
- Quarterly Accumulated Expenses has moved between $96.88 million (Q1 2022) and $251.49 million (Q2 2022) over five years.
- Compared with a year earlier, Accumulated Expenses has increased for 11 straight quarters, with growth averaging 9.0% over the last eight quarters.
- The best year-over-year quarter for Accumulated Expenses over five years was Q2 2022 (growth of 175.5%); the worst was Q2 2023 (a decline of 59.9%).
- Per Business Quant data, WERN's Accumulated Expenses in the three quarters before Q2 2026 was $132.93 million (Q1 2026), $116.03 million (Q4 2025) and $125.88 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Union Pacific | 172.47 Bn | 164.72 Bn | - |
| 2 | United Parcel Service | 92.24 Bn | 69.07 Bn | - |
| 3 | Csx | 90.81 Bn | 86.03 Bn | - |
| 4 | Canadian Pacific Kansas City | 81.61 Bn | 80.64 Bn | - |
| 5 | Fedex | 72.98 Bn | 39.17 Bn | - |
| 6 | Norfolk Southern | 71.87 Bn | 66.34 Bn | - |
| 7 | Delta Air Lines | 57.23 Bn | 39.41 Bn | - |
| 8 | United Airlines Holdings | 36.65 Bn | -21.05 Bn | - |
| 9 | Old Dominion Freight Line | 34.12 Bn | 32.96 Bn | - |
| 10 | Werner Enterprises | 1.62 Bn | 1.39 Bn | - |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 127.41 Mn |
| Mar 31, 2026 | 132.93 Mn |
| Dec 31, 2025 | 116.03 Mn |
| Sep 30, 2025 | 125.88 Mn |
| Jun 30, 2025 | 121.14 Mn |
| Mar 31, 2025 | 115.80 Mn |
| Dec 31, 2024 | 112.46 Mn |
| Sep 30, 2024 | 103.38 Mn |
| Jun 30, 2024 | 107.73 Mn |
| Mar 31, 2024 | 103.74 Mn |
| Dec 31, 2023 | 112.08 Mn |
| Sep 30, 2023 | 100.93 Mn |
| Jun 30, 2023 | 100.76 Mn |
| Mar 31, 2023 | 100.80 Mn |
| Dec 31, 2022 | 98.98 Mn |
| Sep 30, 2022 | 109.22 Mn |
| Jun 30, 2022 | 251.49 Mn |
| Mar 31, 2022 | 96.88 Mn |
| Dec 31, 2021 | 101.35 Mn |
| Sep 30, 2021 | 97.65 Mn |
Werner Enterprises Accumulated 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=accumulated-expenses&ticker=WERN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-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=accumulated-expenses&ticker=WERN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();