Werner Enterprises (WERN) Total Non-Current Liabilities (2009 - 2026)
Werner Enterprises (WERN) reported Total Non-Current Liabilities of $1.67 billion for Q2 2026, up 18.1% from $1.41 billion a year earlier but down 5.7% from the prior quarter.
Werner Enterprises (WERN) Total Non-Current Liabilities (2009 - 2026) Analysis & Trends
At the end of FY2025, Werner Enterprises posted Total Non-Current Liabilities of $1.41 billion, up 4.0% from FY2024.
- Total Non-Current Liabilities has a five-year compound annual growth rate of 14.1% (FY2020 to FY2025).
- By year, Total Non-Current Liabilities came in at $1.36 billion in FY2024 (-2.2%), $1.39 billion in FY2023 (-1.3%), $1.41 billion in FY2022 (+35.6%) and $1.04 billion in FY2021 (+42.3%).
- Five-year quarterly Total Non-Current Liabilities spans a low of $938.58 million in Q3 2021 and a high of $1.77 billion in Q1 2026.
- Year over year, Total Non-Current Liabilities has now increased in each of the last four quarters, with growth averaging 6.8% over the last eight quarters.
- The high point for year-over-year Total Non-Current Liabilities in five years was Q2 2022 (growth of 48.5%); the low point was Q1 2024 (a decline of 5.3%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $1.77 billion (Q1 2026), $1.41 billion (Q4 2025) and $1.46 billion (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Union Pacific | 171.45 Bn | 165.97 Bn | - | 48.79 Bn |
| 2 | Csx | 90.36 Bn | 86.57 Bn | - | 30.11 Bn |
| 3 | United Parcel Service | 82.96 Bn | 59.85 Bn | - | 52.41 Bn |
| 4 | Canadian Pacific Kansas City | 77.40 Bn | 76.42 Bn | - | 28.69 Bn |
| 5 | Norfolk Southern | 73.28 Bn | 67.92 Bn | - | 27.16 Bn |
| 6 | Fedex | 69.58 Bn | 35.52 Bn | - | 62.04 Bn |
| 7 | Delta Air Lines | 49.43 Bn | 31.61 Bn | - | 29.96 Bn |
| 8 | Old Dominion Freight Line | 39.04 Bn | 38.30 Bn | - | 656.79 Mn |
| 9 | United Airlines Holdings | 31.23 Bn | -25.14 Bn | - | 40.11 Bn |
| 10 | Werner Enterprises | 1.97 Bn | 1.74 Bn | - | 1.64 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.64 Bn |
| Mar 31, 2026 | 1.74 Bn |
| Dec 31, 2025 | 1.39 Bn |
| Sep 30, 2025 | 1.41 Bn |
| Jun 30, 2025 | 1.36 Bn |
| Mar 31, 2025 | 1.26 Bn |
| Dec 31, 2024 | 1.29 Bn |
| Sep 30, 2024 | 1.38 Bn |
| Jun 30, 2024 | 1.35 Bn |
| Mar 31, 2024 | 1.27 Bn |
| Dec 31, 2023 | 1.34 Bn |
| Sep 30, 2023 | 1.39 Bn |
| Jun 30, 2023 | 1.31 Bn |
| Mar 31, 2023 | 1.34 Bn |
| Dec 31, 2022 | 1.35 Bn |
| Sep 30, 2022 | 1.19 Bn |
| Jun 30, 2022 | 1.22 Bn |
| Mar 31, 2022 | 1.02 Bn |
| Dec 31, 2021 | 995.63 Mn |
| Sep 30, 2021 | 894.93 Mn |
Werner Enterprises Total 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=total-non-current-liabilities&ticker=WERN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-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=total-non-current-liabilities&ticker=WERN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();