Wabash National (WNC) Total Non-Current Liabilities (2010 - 2026)
Wabash National's Total Non-Current Liabilities was $888.76 million in Q2 2026, up 9.6% from $811.12 million a year earlier and up 4.3% from the prior quarter.
Powered by 
Analysis
Wabash National (WNC) Total Non-Current Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2025, Total Non-Current Liabilities at Wabash National came in at $746.33 million, up 5.6% from FY2024.
- Total Non-Current Liabilities shows a five-year compound annual growth rate of 0.4% (FY2020 to FY2025).
- In earlier years, Total Non-Current Liabilities was $706.55 million in FY2024 (-7.8%), $766.29 million in FY2023 (-0.7%), $771.56 million in FY2022 (+2.4%) and $753.66 million in FY2021 (+3.2%).
- The Q2 2026 figure marks the highest quarterly Total Non-Current Liabilities since Q2 2022.
- Compared with a year earlier, Total Non-Current Liabilities has increased for six straight quarters, with growth averaging 4.3% over the last eight quarters.
- The best year-over-year quarter for Total Non-Current Liabilities over five years was Q2 2022 (growth of 22.2%); the worst was Q2 2024 (a decline of 15.0%).
- Per Business Quant data, WNC's Total Non-Current Liabilities in the three quarters before Q2 2026 was $851.92 million (Q1 2026), $746.33 million (Q4 2025) and $871.2 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 380.10 Bn | 351.79 Bn | 7.76 Bn | 75.57 Bn |
| 2 | Amphenol | 208.03 Bn | 202.73 Bn | 3.55 Bn | 28.16 Bn |
| 3 | Deere | 183.47 Bn | 192.23 Bn | 4.66 Bn | - |
| 4 | Eaton | 168.26 Bn | 165.49 Bn | 2.86 Bn | 23.97 Bn |
| 5 | Parker-Hannifin | 122.34 Bn | 120.47 Bn | 2.25 Bn | 14.72 Bn |
| 6 | Vertiv Holdings | 95.63 Bn | 86.25 Bn | 1.23 Bn | 10.73 Bn |
| 7 | Emerson Electric | 87.72 Bn | 80.47 Bn | 2.66 Bn | 18.30 Bn |
| 8 | 3M | 86.87 Bn | 68.33 Bn | 2.68 Bn | 23.79 Bn |
| 9 | Illinois Tool Works | 76.08 Bn | 72.64 Bn | 1.90 Bn | 7.65 Bn |
| 10 | Wabash National | 516.14 Mn | 279.02 Mn | 15.33 Mn | 888.76 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 888.76 Mn |
| Mar 31, 2026 | 851.92 Mn |
| Dec 31, 2025 | 746.33 Mn |
| Sep 30, 2025 | 871.20 Mn |
| Jun 30, 2025 | 811.12 Mn |
| Mar 31, 2025 | 833.93 Mn |
| Dec 31, 2024 | 706.55 Mn |
| Sep 30, 2024 | 736.91 Mn |
| Jun 30, 2024 | 733.74 Mn |
| Mar 31, 2024 | 778.87 Mn |
| Dec 31, 2023 | 766.29 Mn |
| Sep 30, 2023 | 827.11 Mn |
| Jun 30, 2023 | 863.26 Mn |
| Mar 31, 2023 | 848.79 Mn |
| Dec 31, 2022 | 771.56 Mn |
| Sep 30, 2022 | 874.50 Mn |
| Jun 30, 2022 | 921.25 Mn |
| Mar 31, 2022 | 897.52 Mn |
| Dec 31, 2021 | 753.66 Mn |
| Sep 30, 2021 | 756.57 Mn |
API Access
Wabash National 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=WNC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "ticker": "WNC", "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=WNC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();