Wabash National (WNC) Property, Plant & Equipment (Net) (2010 - 2026)
Wabash National's Property, Plant & Equipment (Net) came in at $283.36 million for Q2 2026, down 13.6% from $327.91 million a year earlier and down 3.1% from the prior quarter.
Wabash National (WNC) Property, Plant & Equipment (Net) (2010 - 2026) Analysis & Trends
At the end of FY2025, Wabash National's Property, Plant & Equipment (Net) was $300.48 million, down 11.4% from FY2024.
- Property, Plant & Equipment (Net) carries a five-year compound annual growth rate of 7.5% (FY2020 to FY2025).
- Going back by year, Property, Plant & Equipment (Net) was $339.25 million in FY2024 (+4.2%), $325.44 million in FY2023 (+20.0%), $271.12 million in FY2022 (+16.6%) and $232.43 million in FY2021 (+10.8%).
- The Q2 2026 figure represents the lowest quarterly Property, Plant & Equipment (Net) since Q4 2022.
- Year-over-year, Property, Plant & Equipment (Net) has declined for five consecutive quarters, with an average decline of 4.2% over the last eight quarters.
- The fastest year-over-year change in Property, Plant & Equipment (Net) over five years came in Q2 2023 (growth of 29.5%), and the weakest in Q2 2026 (a decline of 13.6%).
- Business Quant data shows WNC's Property, Plant & Equipment (Net) at $292.39 million (Q1 2026), $300.48 million (Q4 2025) and $321.62 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | PP&E (Net) (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 388.70 Bn | 360.40 Bn | 7.76 Bn | 15.63 Bn |
| 2 | Amphenol | 214.42 Bn | 209.12 Bn | 3.55 Bn | 2.93 Bn |
| 3 | Deere | 185.30 Bn | 194.07 Bn | 4.66 Bn | - |
| 4 | Eaton | 169.35 Bn | 166.59 Bn | 2.86 Bn | 4.70 Bn |
| 5 | Parker-Hannifin | 122.64 Bn | 120.77 Bn | 2.25 Bn | 3.02 Bn |
| 6 | Vertiv Holdings | 97.12 Bn | 87.74 Bn | 1.23 Bn | 1.18 Bn |
| 7 | Emerson Electric | 90.13 Bn | 82.89 Bn | 2.66 Bn | 2.86 Bn |
| 8 | 3M | 83.49 Bn | 64.94 Bn | 2.68 Bn | 6.88 Bn |
| 9 | Illinois Tool Works | 74.89 Bn | 71.45 Bn | 1.90 Bn | 2.24 Bn |
| 10 | Wabash National | 572.36 Mn | 335.23 Mn | 15.33 Mn | 283.36 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 283.36 Mn |
| Mar 31, 2026 | 292.39 Mn |
| Dec 31, 2025 | 300.48 Mn |
| Sep 30, 2025 | 321.62 Mn |
| Jun 30, 2025 | 327.91 Mn |
| Mar 31, 2025 | 335.50 Mn |
| Dec 31, 2024 | 339.25 Mn |
| Sep 30, 2024 | 342.58 Mn |
| Jun 30, 2024 | 331.74 Mn |
| Mar 31, 2024 | 335.57 Mn |
| Dec 31, 2023 | 325.44 Mn |
| Sep 30, 2023 | 319.36 Mn |
| Jun 30, 2023 | 314.13 Mn |
| Mar 31, 2023 | 288.82 Mn |
| Dec 31, 2022 | 271.12 Mn |
| Sep 30, 2022 | 252.38 Mn |
| Jun 30, 2022 | 242.64 Mn |
| Mar 31, 2022 | 232.04 Mn |
| Dec 31, 2021 | 232.43 Mn |
| Sep 30, 2021 | 208.46 Mn |
Wabash National Property, Plant & Equipment (Net) 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=property-plant-and-equipment-net&ticker=WNC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "property-plant-and-equipment-net", "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=property-plant-and-equipment-net&ticker=WNC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();