Wabash National (WNC) Inventory (2010 - 2026)
Wabash National (WNC) posted Inventory of $192.26 million for Q2 2026, down 23.8% from $252.45 million a year earlier and down 3.0% from the prior quarter.
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Analysis
Wabash National (WNC) Inventory (2010 - 2026) Analysis & Trends
At the end of FY2025, Wabash National's Inventory came in at $181.15 million, down 30.0% from FY2024.
- Annual Inventory shows a five-year compound annual growth rate of 2.0% (FY2020 to FY2025).
- In prior years, Wabash National's Inventory was $258.83 million in FY2024 (-3.3%), $267.64 million in FY2023 (+9.7%), $243.87 million in FY2022 (+2.6%) and $237.62 million in FY2021 (+45.1%).
- Quarterly Inventory has run from a low of $181.15 million in Q4 2025 to a high of $344.29 million in Q3 2023 over five years.
- On a year-over-year basis, Inventory has declined in each of the last five quarters, with an average decline of 16.7% over the last eight quarters.
- The strongest year-over-year quarter for Inventory in the past five years was Q4 2021, with growth of 45.1%; the weakest was Q4 2025, with a decline of 30.0%.
- According to Business Quant data, Inventory for the three prior quarters was $198.29 million (Q1 2026), $181.15 million (Q4 2025) and $219.51 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Inventory (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 376.87 Bn | 348.57 Bn | 7.76 Bn | 20.63 Bn |
| 2 | Amphenol | 208.65 Bn | 203.35 Bn | 3.55 Bn | 4.55 Bn |
| 3 | Deere | 185.97 Bn | 194.73 Bn | 4.66 Bn | 7.81 Bn |
| 4 | Eaton | 167.50 Bn | 164.73 Bn | 2.86 Bn | 5.42 Bn |
| 5 | Parker-Hannifin | 122.25 Bn | 120.39 Bn | 2.25 Bn | 3.17 Bn |
| 6 | Vertiv Holdings | 93.95 Bn | 84.57 Bn | 1.23 Bn | 2.52 Bn |
| 7 | Emerson Electric | 88.90 Bn | 81.65 Bn | 2.66 Bn | 2.51 Bn |
| 8 | 3M | 87.39 Bn | 68.85 Bn | 2.68 Bn | 3.77 Bn |
| 9 | Illinois Tool Works | 78.00 Bn | 74.56 Bn | 1.90 Bn | 1.76 Bn |
| 10 | Wabash National | 514.92 Mn | 277.79 Mn | 15.33 Mn | 192.26 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 192.26 Mn |
| Mar 31, 2026 | 198.29 Mn |
| Dec 31, 2025 | 181.15 Mn |
| Sep 30, 2025 | 219.51 Mn |
| Jun 30, 2025 | 252.45 Mn |
| Mar 31, 2025 | 278.65 Mn |
| Dec 31, 2024 | 258.83 Mn |
| Sep 30, 2024 | 260.60 Mn |
| Jun 30, 2024 | 272.93 Mn |
| Mar 31, 2024 | 278.55 Mn |
| Dec 31, 2023 | 267.64 Mn |
| Sep 30, 2023 | 344.29 Mn |
| Jun 30, 2023 | 342.47 Mn |
| Mar 31, 2023 | 315.64 Mn |
| Dec 31, 2022 | 243.87 Mn |
| Sep 30, 2022 | 309.70 Mn |
| Jun 30, 2022 | 305.34 Mn |
| Mar 31, 2022 | 286.73 Mn |
| Dec 31, 2021 | 237.62 Mn |
| Sep 30, 2021 | 259.64 Mn |
API Access
Wabash National Inventory 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=inventory&ticker=WNC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "inventory", "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=inventory&ticker=WNC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();