Wabash National (WNC) Enterprise Value (2010 - 2026)
Wabash National (WNC) posted Enterprise Value of $479.85 million for Q2 2026, up 26.1% from $380.59 million a year earlier and up 55.6% from the prior quarter.
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Analysis
Wabash National (WNC) Enterprise Value (2010 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Enterprise Value at Wabash National was $312.83 million, up 206.0% year-over-year; for FY2025, it was $319.04 million, down 48.5% from FY2024.
- Annual Enterprise Value has declined for three consecutive years, with a five-year compound annual growth rate of -14.2% (FY2020 to FY2025).
- In prior years, Wabash National's Enterprise Value was $620.09 million in FY2024 (-37.0%), $984.31 million in FY2023 (-3.5%), $1.02 billion in FY2022 (+15.4%) and $883.81 million in FY2021 (+28.5%).
- The Q2 2026 figure stands as the highest quarterly Enterprise Value since Q4 2024.
- On a year-over-year basis, Enterprise Value increased in 1 of the last eight quarters, with an average decline of 34.8%.
- The strongest year-over-year quarter for Enterprise Value in the past five years was Q2 2023, with growth of 111.9%; the weakest was Q1 2025, with a decline of 68.8%.
- According to Business Quant data, Enterprise Value for the three prior quarters was $308.3 million (Q1 2026), $319.04 million (Q4 2025) and $309.52 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Caterpillar | 376.87 Bn | 348.57 Bn | 7.76 Bn |
| 2 | Amphenol | 208.65 Bn | 203.35 Bn | 3.55 Bn |
| 3 | Deere | 185.97 Bn | 194.73 Bn | 4.66 Bn |
| 4 | Eaton | 167.50 Bn | 164.73 Bn | 2.86 Bn |
| 5 | Parker-Hannifin | 122.25 Bn | 120.39 Bn | 2.25 Bn |
| 6 | Vertiv Holdings | 93.95 Bn | 84.57 Bn | 1.23 Bn |
| 7 | Emerson Electric | 88.90 Bn | 81.65 Bn | 2.66 Bn |
| 8 | 3M | 87.39 Bn | 68.85 Bn | 2.68 Bn |
| 9 | Illinois Tool Works | 78.00 Bn | 74.56 Bn | 1.90 Bn |
| 10 | Wabash National | 514.92 Mn | 277.79 Mn | 15.33 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 479.85 Mn |
| Mar 31, 2026 | 308.30 Mn |
| Dec 31, 2025 | 319.04 Mn |
| Sep 30, 2025 | 309.52 Mn |
| Jun 30, 2025 | 380.59 Mn |
| Mar 31, 2025 | 385.95 Mn |
| Dec 31, 2024 | 620.09 Mn |
| Sep 30, 2024 | 750.45 Mn |
| Jun 30, 2024 | 888.96 Mn |
| Mar 31, 2024 | 1.24 Bn |
| Dec 31, 2023 | 984.31 Mn |
| Sep 30, 2023 | 872.99 Mn |
| Jun 30, 2023 | 1.11 Bn |
| Mar 31, 2023 | 1.10 Bn |
| Dec 31, 2022 | 1.02 Bn |
| Sep 30, 2022 | 666.79 Mn |
| Jun 30, 2022 | 523.06 Mn |
| Mar 31, 2022 | 654.85 Mn |
| Dec 31, 2021 | 883.81 Mn |
| Sep 30, 2021 | 700.69 Mn |
API Access
Wabash National Enterprise Value 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=enterprise-value&ticker=WNC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "enterprise-value", "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=enterprise-value&ticker=WNC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();