Werner Enterprises (WERN) EBITDA (2010 - 2026)
Werner Enterprises (WERN) posted EBITDA of $95.73 million for Q2 2026, down 30.2% from $137.08 million a year earlier but up 19.4% from the prior quarter.
Werner Enterprises (WERN) EBITDA (2010 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, EBITDA at Werner Enterprises was $272.61 million, down 27.4% year-over-year; for FY2025, it came in at $297.98 million, down 16.4% from FY2024.
- Annual EBITDA has declined for three consecutive years, with a five-year compound annual growth rate of -9.5% (FY2020 to FY2025).
- In prior years, Werner Enterprises' EBITDA was $356.55 million in FY2024 (-25.1%), $475.93 million in FY2023 (-21.1%), $603 million in FY2022 (+4.5%) and $576.85 million in FY2021 (+17.5%).
- Quarterly EBITDA has run from a low of $37.52 million in Q4 2025 to a high of $167.86 million in Q4 2021 over five years.
- On a year-over-year basis, EBITDA increased in two of the last eight quarters, with an average decline of 15.1%.
- The strongest year-over-year quarter for EBITDA in the past five years was Q2 2025, with growth of 48.5%; the weakest was Q4 2025, with a decline of 56.0%.
- According to Business Quant data, EBITDA for the three prior quarters was $80.19 million (Q1 2026), $37.52 million (Q4 2025) and $59.16 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Union Pacific | 171.45 Bn | 165.97 Bn | - | 3.40 Bn |
| 2 | Csx | 90.36 Bn | 86.57 Bn | - | 1.92 Bn |
| 3 | United Parcel Service | 82.96 Bn | 59.85 Bn | - | 1.91 Bn |
| 4 | Canadian Pacific Kansas City | 77.40 Bn | 76.42 Bn | - | 1.44 Bn |
| 5 | Norfolk Southern | 73.28 Bn | 67.92 Bn | - | 1.48 Bn |
| 6 | Fedex | 69.58 Bn | 35.52 Bn | - | 2.68 Bn |
| 7 | Delta Air Lines | 49.43 Bn | 31.61 Bn | - | 2.13 Bn |
| 8 | Old Dominion Freight Line | 39.04 Bn | 38.30 Bn | - | 557.01 Mn |
| 9 | United Airlines Holdings | 31.23 Bn | -25.14 Bn | - | 1.86 Bn |
| 10 | Werner Enterprises | 1.97 Bn | 1.74 Bn | - | 95.73 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 95.73 Mn |
| Mar 31, 2026 | 80.19 Mn |
| Dec 31, 2025 | 37.52 Mn |
| Sep 30, 2025 | 59.16 Mn |
| Jun 30, 2025 | 137.08 Mn |
| Mar 31, 2025 | 64.22 Mn |
| Dec 31, 2024 | 85.23 Mn |
| Sep 30, 2024 | 89.18 Mn |
| Jun 30, 2024 | 92.28 Mn |
| Mar 31, 2024 | 89.86 Mn |
| Dec 31, 2023 | 113.64 Mn |
| Sep 30, 2023 | 112.49 Mn |
| Jun 30, 2023 | 122.10 Mn |
| Mar 31, 2023 | 127.70 Mn |
| Dec 31, 2022 | 162.21 Mn |
| Sep 30, 2022 | 146.66 Mn |
| Jun 30, 2022 | 143.39 Mn |
| Mar 31, 2022 | 150.74 Mn |
| Dec 31, 2021 | 167.86 Mn |
| Sep 30, 2021 | 139.94 Mn |
Werner Enterprises EBITDA 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=ebitda&ticker=WERN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=WERN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();