Werner Enterprises (WERN) Other Non-Current Liabilities (2009 - 2026)
Werner Enterprises' Other Non-Current Liabilities was $136.82 million in Q2 2026, up 19.3% from $114.72 million a year earlier and unchanged from the prior quarter.
Werner Enterprises (WERN) Other Non-Current Liabilities (2009 - 2026) Analysis & Trends
At the end of FY2025, Other Non-Current Liabilities at Werner Enterprises came in at $112.13 million, down 52.7% from FY2024.
- Other Non-Current Liabilities has now declined for three consecutive years, with a five-year compound annual growth rate of -13.5% (FY2020 to FY2025).
- In earlier years, Other Non-Current Liabilities was $236.92 million in FY2024 (-1.2%), $239.7 million in FY2023 (-2.1%), $244.95 million in FY2022 (+3.3%) and $237.22 million in FY2021 (+2.4%).
- Quarterly Other Non-Current Liabilities has moved between $112.13 million (Q4 2025) and $245.9 million (Q1 2023) over five years.
- Compared with a year earlier, Other Non-Current Liabilities was higher in two of the last eight quarters, with an average decline of 22.6%.
- The best year-over-year quarter for Other Non-Current Liabilities over five years was Q2 2026 (growth of 19.3%); the worst was Q4 2025 (a decline of 52.7%).
- Per Business Quant data, WERN's Other Non-Current Liabilities in the three quarters before Q2 2026 was $136.82 million (Q1 2026), $112.13 million (Q4 2025) and $112.96 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 | 161.13 Mn |
| Mar 31, 2026 | 160.66 Mn |
| Dec 31, 2025 | 138.21 Mn |
| Sep 30, 2025 | 163.68 Mn |
| Jun 30, 2025 | 169.20 Mn |
| Mar 31, 2025 | 291.62 Mn |
| Dec 31, 2024 | 303.10 Mn |
| Sep 30, 2024 | 295.06 Mn |
| Jun 30, 2024 | 289.47 Mn |
| Mar 31, 2024 | 289.06 Mn |
| Dec 31, 2023 | 293.98 Mn |
| Sep 30, 2023 | 290.66 Mn |
| Jun 30, 2023 | 295.70 Mn |
| Mar 31, 2023 | 304.47 Mn |
| Dec 31, 2022 | 304.62 Mn |
| Sep 30, 2022 | 281.45 Mn |
| Jun 30, 2022 | 285.88 Mn |
| Mar 31, 2022 | 289.45 Mn |
| Dec 31, 2021 | 280.53 Mn |
| Sep 30, 2021 | 277.66 Mn |
Werner Enterprises Other Non-Current Liabilities 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=other-non-current-liabilities&ticker=WERN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-non-current-liabilities", "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=other-non-current-liabilities&ticker=WERN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();