Wabash National (WNC) Other Non-Current Liabilities (2010 - 2026)
Wabash National's Other Non-Current Liabilities came in at $57.56 million for Q2 2026, down 68.0% from $179.7 million a year earlier but up 1.7% from the prior quarter.
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Analysis
Wabash National (WNC) Other Non-Current Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2025, Wabash National's Other Non-Current Liabilities was $57.49 million, down 88.9% from FY2024.
- Other Non-Current Liabilities carries a five-year compound annual growth rate of 17.2% (FY2020 to FY2025).
- Going back by year, Other Non-Current Liabilities was $516.15 million in FY2024 (+997.5%), $47.03 million in FY2023 (+36.9%), $34.35 million in FY2022 (+23.3%) and $27.87 million in FY2021 (+7.0%).
- The five-year range for quarterly Other Non-Current Liabilities is $27.08 million (Q1 2022) to $517.9 million (Q3 2024).
- Year-over-year, Other Non-Current Liabilities has declined for four consecutive quarters, with growth averaging 163.0% over the last seven quarters.
- The fastest year-over-year change in Other Non-Current Liabilities over five years came in Q4 2024 (growth of 997.5%), and the weakest in Q4 2025 (a decline of 88.9%).
- Business Quant data shows WNC's Other Non-Current Liabilities at $56.6 million (Q1 2026), $57.49 million (Q4 2025) and $59.89 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Caterpillar | 372.79 Bn | 344.49 Bn | 7.76 Bn |
| 2 | Amphenol | 207.98 Bn | 202.68 Bn | 3.55 Bn |
| 3 | Deere | 181.02 Bn | 189.78 Bn | 4.66 Bn |
| 4 | Eaton | 166.86 Bn | 164.09 Bn | 2.86 Bn |
| 5 | Parker-Hannifin | 120.45 Bn | 118.58 Bn | 2.25 Bn |
| 6 | Vertiv Holdings | 92.94 Bn | 83.56 Bn | 1.23 Bn |
| 7 | Emerson Electric | 86.56 Bn | 79.32 Bn | 2.66 Bn |
| 8 | 3M | 84.72 Bn | 66.18 Bn | 2.68 Bn |
| 9 | Illinois Tool Works | 73.32 Bn | 69.88 Bn | 1.90 Bn |
| 10 | Wabash National | 501.47 Mn | 264.35 Mn | 15.33 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 57.56 Mn |
| Mar 31, 2026 | 56.60 Mn |
| Dec 31, 2025 | 57.49 Mn |
| Sep 30, 2025 | 59.89 Mn |
| Jun 30, 2025 | 179.70 Mn |
| Mar 31, 2025 | 177.42 Mn |
| Dec 31, 2024 | 516.15 Mn |
| Sep 30, 2024 | 517.90 Mn |
| Jun 30, 2024 | 55.15 Mn |
| Mar 31, 2024 | 53.58 Mn |
| Dec 31, 2023 | 47.03 Mn |
| Sep 30, 2023 | 43.55 Mn |
| Jun 30, 2023 | 40.76 Mn |
| Mar 31, 2023 | 35.91 Mn |
| Dec 31, 2022 | 34.35 Mn |
| Sep 30, 2022 | 34.71 Mn |
| Jun 30, 2022 | 30.89 Mn |
| Mar 31, 2022 | 27.08 Mn |
| Dec 31, 2021 | 27.87 Mn |
| Sep 30, 2021 | 28.57 Mn |
API Access
Wabash National 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=WNC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-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=other-non-current-liabilities&ticker=WNC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();