Wabash National (WNC) Operating Expenses (2010 - 2024)
Wabash National's Operating Expenses came in at $30.99 million for Q4 2024, down 17.3% from $37.46 million a year earlier and down 93.5% from the prior quarter.
Wabash National (WNC) Operating Expenses (2010 - 2024) Analysis & Trends
For FY2024, Wabash National's Operating Expenses was $580.68 million, up 295.9% from FY2023.
- Operating Expenses has increased in each of the last three years, with a five-year compound annual growth rate of 39.9% (FY2019 to FY2024).
- Going back by year, Operating Expenses was $146.66 million in FY2023 (+29.7%), $113.08 million in FY2022 (+27.3%), $88.81 million in FY2021 (-4.2%) and $92.74 million in FY2020 (-14.3%).
- The Q4 2024 figure represents the lowest quarterly Operating Expenses since Q4 2022.
- Year-over-year, Operating Expenses increased in five of the last seven quarters, with growth averaging 13.7%.
- The fastest year-over-year change in Operating Expenses over five years came in Q1 2023 (growth of 36.9%), and the weakest in Q2 2020 (a decline of 25.9%).
- Business Quant data shows WNC's Operating Expenses at $479.05 million (Q3 2024), $33.97 million (Q2 2024) and $36.67 million (Q1 2024) in the three quarters before Q4 2024.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 376.87 Bn | 348.57 Bn | 7.76 Bn | 16.25 Bn |
| 2 | Amphenol | 208.65 Bn | 203.35 Bn | 3.55 Bn | 963.40 Mn |
| 3 | Deere | 185.97 Bn | 194.73 Bn | 4.66 Bn | 10.73 Bn |
| 4 | Eaton | 167.50 Bn | 164.73 Bn | 2.86 Bn | 1.46 Bn |
| 5 | Parker-Hannifin | 122.25 Bn | 120.39 Bn | 2.25 Bn | 874.00 Mn |
| 6 | Vertiv Holdings | 93.95 Bn | 84.57 Bn | 1.23 Bn | 490.50 Mn |
| 7 | Emerson Electric | 88.90 Bn | 81.65 Bn | 2.66 Bn | 1.34 Bn |
| 8 | 3M | 87.39 Bn | 68.85 Bn | 2.68 Bn | 5.52 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
| Date | Value |
|---|---|
| Dec 31, 2024 | 30.99 Mn |
| Sep 30, 2024 | 479.05 Mn |
| Jun 30, 2024 | 33.97 Mn |
| Mar 31, 2024 | 36.67 Mn |
| Dec 31, 2023 | 37.46 Mn |
| Sep 30, 2023 | 35.84 Mn |
| Jun 30, 2023 | 37.32 Mn |
| Mar 31, 2023 | 36.04 Mn |
| Dec 31, 2022 | 27.96 Mn |
| Sep 30, 2022 | 27.85 Mn |
| Jun 30, 2022 | 30.94 Mn |
| Mar 31, 2022 | 26.33 Mn |
| Dec 31, 2021 | 22.07 Mn |
| Sep 30, 2021 | 20.97 Mn |
| Jun 30, 2021 | 22.91 Mn |
| Mar 31, 2021 | 22.87 Mn |
| Dec 31, 2020 | 24.17 Mn |
| Sep 30, 2020 | 22.75 Mn |
| Jun 30, 2020 | 19.63 Mn |
| Mar 31, 2020 | 26.19 Mn |
Wabash National Operating Expenses 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=operating-expenses&ticker=WNC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=WNC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();