Werner Enterprises (WERN) Total Non-Current Liabilities (2009 - 2026)
Werner Enterprises (WERN) reported Total Non-Current Liabilities of $1.64 billion for Q2 2026, up 21.0% from $1.36 billion a year earlier but down 5.8% from the prior quarter.
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Analysis
Werner Enterprises (WERN) Total Non-Current Liabilities (2009 - 2026) Analysis & Trends
At the end of FY2025, Werner Enterprises posted Total Non-Current Liabilities of $1.39 billion, up 7.3% from FY2024.
- Total Non-Current Liabilities has a five-year compound annual growth rate of 15.1% (FY2020 to FY2025).
- By year, Total Non-Current Liabilities came in at $1.29 billion in FY2024 (-3.2%), $1.34 billion in FY2023 (-1.0%), $1.35 billion in FY2022 (+35.5%) and $995.63 million in FY2021 (+44.9%).
- Five-year quarterly Total Non-Current Liabilities spans a low of $894.93 million in Q3 2021 and a high of $1.74 billion in Q1 2026.
- Year over year, Total Non-Current Liabilities has now increased in each of the last five quarters, with growth averaging 8.1% over the last eight quarters.
- The high point for year-over-year Total Non-Current Liabilities in five years was Q2 2022 (growth of 50.9%); the low point was Q1 2024 (a decline of 5.2%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $1.74 billion (Q1 2026), $1.39 billion (Q4 2025) and $1.41 billion (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Union Pacific | 172.47 Bn | 164.72 Bn | - | 48.84 Bn |
| 2 | United Parcel Service | 92.24 Bn | 69.07 Bn | - | 53.87 Bn |
| 3 | Csx | 90.81 Bn | 86.03 Bn | - | 30.27 Bn |
| 4 | Canadian Pacific Kansas City | 81.61 Bn | 80.64 Bn | - | 29.45 Bn |
| 5 | Fedex | 72.98 Bn | 39.17 Bn | - | 60.43 Bn |
| 6 | Norfolk Southern | 71.87 Bn | 66.34 Bn | - | 27.52 Bn |
| 7 | Delta Air Lines | 57.23 Bn | 39.41 Bn | - | 29.96 Bn |
| 8 | United Airlines Holdings | 36.65 Bn | -21.05 Bn | - | 40.73 Bn |
| 9 | Old Dominion Freight Line | 34.12 Bn | 32.96 Bn | - | 639.21 Mn |
| 10 | Werner Enterprises | 1.62 Bn | 1.39 Bn | - | 1.64 Bn |
Historic Data
Download Data
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 |
API Access
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_KEYimport 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();