Werner Enterprises (WERN) Gains from Sales and Divestitures (2009 - 2026)
Werner Enterprises' Gains from Sales and Divestitures was $1.47 million in Q2 2026, down 75.2% from $5.93 million a year earlier and down 61.1% from the prior quarter.
Werner Enterprises (WERN) Gains from Sales and Divestitures (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, Werner Enterprises' Gains from Sales and Divestitures was $12.16 million through Jun 30, 2026, down 31.9% year-over-year; for FY2025, it was $15.67 million, up 2.2% from FY2024.
- Gains from Sales and Divestitures shows a five-year compound annual growth rate of 6.8% (FY2020 to FY2025).
- In earlier years, Gains from Sales and Divestitures was $15.33 million in FY2024 (-63.9%), $42.44 million in FY2023 (-52.1%), $88.56 million in FY2022 (+46.3%) and $60.53 million in FY2021 (+437.0%).
- The Q2 2026 figure marks the lowest quarterly Gains from Sales and Divestitures since Q2 2020.
- Compared with a year earlier, Gains from Sales and Divestitures was higher in four of the last eight quarters, with growth averaging 13.5%.
- The best year-over-year quarter for Gains from Sales and Divestitures over five years was Q4 2021 (growth of 433.8%); the worst was Q4 2023 (a decline of 88.1%).
- Per Business Quant data, WERN's Gains from Sales and Divestitures in the three quarters before Q2 2026 was $3.78 million (Q1 2026), $2.37 million (Q4 2025) and $4.54 million (Q3 2025).
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
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.47 Mn |
| Mar 31, 2026 | 3.78 Mn |
| Dec 31, 2025 | 2.37 Mn |
| Sep 30, 2025 | 4.54 Mn |
| Jun 30, 2025 | 5.93 Mn |
| Mar 31, 2025 | 2.84 Mn |
| Dec 31, 2024 | 6.48 Mn |
| Sep 30, 2024 | 2.60 Mn |
| Jun 30, 2024 | 2.68 Mn |
| Mar 31, 2024 | 3.57 Mn |
| Dec 31, 2023 | 3.09 Mn |
| Sep 30, 2023 | 9.12 Mn |
| Jun 30, 2023 | 11.89 Mn |
| Mar 31, 2023 | 18.34 Mn |
| Dec 31, 2022 | 25.91 Mn |
| Sep 30, 2022 | 21.52 Mn |
| Jun 30, 2022 | 20.68 Mn |
| Mar 31, 2022 | 20.46 Mn |
| Dec 31, 2021 | 21.24 Mn |
| Sep 30, 2021 | 15.28 Mn |
Werner Enterprises Gains from Sales and Divestitures 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=gains-from-sales-and-divestitures&ticker=WERN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "gains-from-sales-and-divestitures", "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=gains-from-sales-and-divestitures&ticker=WERN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();