Commercial Vehicle (CVGI) Operating Expenses (2010 - 2026)
Commercial Vehicle (CVGI) posted Operating Expenses of $23.17 million for Q2 2026, up 23.7% from $18.73 million a year earlier and up 21.6% from the prior quarter.
Commercial Vehicle (CVGI) Operating Expenses (2010 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Operating Expenses at Commercial Vehicle was $76.15 million, up 7.3% year-over-year; for FY2025, it came in at $69.04 million, down 6.5% from FY2024.
- Annual Operating Expenses shows a five-year compound annual growth rate of 0.2% (FY2020 to FY2025).
- In prior years, Commercial Vehicle's Operating Expenses was $73.88 million in FY2024 (-9.0%), $81.22 million in FY2023 (+34.9%), $60.21 million in FY2022 (-13.3%) and $69.41 million in FY2021 (+1.7%).
- The Q2 2026 figure stands as the highest quarterly Operating Expenses in data going back to Q2 2010.
- On a year-over-year basis, Operating Expenses increased in two of the last eight quarters, with an average decline of 1.2%.
- The strongest year-over-year quarter for Operating Expenses in the past five years was Q4 2023, with growth of 98.1%; the weakest was Q4 2022, with a decline of 39.3%.
- According to Business Quant data, Operating Expenses for the three prior quarters was $19.06 million (Q1 2026), $16.82 million (Q4 2025) and $17.1 million (Q3 2025).
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 | Commercial Vehicle | 111.45 Mn | 111.45 Mn | 24.73 Mn | 23.17 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 23.17 Mn |
| Mar 31, 2026 | 19.06 Mn |
| Dec 31, 2025 | 16.82 Mn |
| Sep 30, 2025 | 17.10 Mn |
| Jun 30, 2025 | 18.73 Mn |
| Mar 31, 2025 | 16.39 Mn |
| Dec 31, 2024 | 18.35 Mn |
| Sep 30, 2024 | 17.48 Mn |
| Jun 30, 2024 | 19.40 Mn |
| Mar 31, 2024 | 18.66 Mn |
| Dec 31, 2023 | 20.31 Mn |
| Sep 30, 2023 | 20.39 Mn |
| Jun 30, 2023 | 22.46 Mn |
| Mar 31, 2023 | 20.57 Mn |
| Dec 31, 2022 | 10.25 Mn |
| Sep 30, 2022 | 17.30 Mn |
| Jun 30, 2022 | 15.65 Mn |
| Mar 31, 2022 | 17.00 Mn |
| Dec 31, 2021 | 16.88 Mn |
| Sep 30, 2021 | 18.77 Mn |
Commercial Vehicle 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=CVGI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "CVGI", "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=CVGI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();