Wabash National (WNC) Short-Term Debt repayments (2010 - 2026)
Wabash National's Short-Term Debt repayments came in at $62.06 million for Q2 2026, compared with $490,000 a year earlier and up 10.2% from the prior quarter.
Wabash National (WNC) Short-Term Debt repayments (2010 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Wabash National reported Short-Term Debt repayments of $199.89 million; for FY2025, it was $82.43 million.
- Short-Term Debt repayments carries a five-year compound annual growth rate of 12.5% (FY2020 to FY2025).
- Going back by year, Short-Term Debt repayments was $884,000 in FY2024 (-99.2%), $104.2 million in FY2023 (-20.2%), $130.58 million in FY2022 (+634.1%) and $17.79 million in FY2021 (-61.2%).
- The five-year range for quarterly Short-Term Debt repayments is $115,000 (Q3 2021) to $73.31 million (Q4 2022).
- Year-over-year, Short-Term Debt repayments increased in two of the last four quarters, with growth averaging 54.5%.
- The fastest year-over-year change in Short-Term Debt repayments over five years came in Q4 2022 (growth of 320.3%), and the weakest in Q4 2023 (a decline of 99.7%).
- Business Quant data shows WNC's Short-Term Debt repayments at $56.3 million (Q1 2026), $65.68 million (Q4 2025) and $15.85 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ST Debt Repayment (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 340.33 Bn | 312.03 Bn | 7.76 Bn | - |
| 2 | Amphenol | 195.04 Bn | 189.62 Bn | 3.55 Bn | - |
| 3 | Deere | 171.72 Bn | 139.81 Bn | 4.66 Bn | - |
| 4 | Eaton | 152.74 Bn | 149.93 Bn | 2.86 Bn | - |
| 5 | Parker-Hannifin | 120.82 Bn | 118.95 Bn | 2.25 Bn | - |
| 6 | Emerson Electric | 91.30 Bn | 84.04 Bn | 2.66 Bn | - |
| 7 | 3M | 90.37 Bn | 71.82 Bn | 2.78 Bn | - |
| 8 | Vertiv Holdings | 81.71 Bn | 72.33 Bn | 1.23 Bn | - |
| 9 | Illinois Tool Works | 79.34 Bn | 75.90 Bn | 1.90 Bn | - |
| 10 | Wabash National | 531.31 Mn | 292.79 Mn | 15.33 Mn | 62.06 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 62.06 Mn |
| Mar 31, 2026 | 56.30 Mn |
| Dec 31, 2025 | 65.68 Mn |
| Sep 30, 2025 | 15.85 Mn |
| Jun 30, 2025 | 490,000.00 |
| Mar 31, 2025 | 414,000.00 |
| Dec 31, 2024 | 196,000.00 |
| Sep 30, 2024 | 257,000.00 |
| Jun 30, 2024 | 199,000.00 |
| Mar 31, 2024 | 232,000.00 |
| Dec 31, 2023 | 207,000.00 |
| Sep 30, 2023 | 261,000.00 |
| Jun 30, 2023 | 60.44 Mn |
| Mar 31, 2023 | 43.29 Mn |
| Dec 31, 2022 | 73.31 Mn |
| Sep 30, 2022 | 26.51 Mn |
| Jun 30, 2022 | 30.46 Mn |
| Mar 31, 2022 | 318,000.00 |
| Dec 31, 2021 | 17.44 Mn |
| Sep 30, 2021 | 115,000.00 |
Wabash National Short-Term Debt repayments 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=short-term-debt-repayments&ticker=WNC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "short-term-debt-repayments", "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=short-term-debt-repayments&ticker=WNC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();