Commercial Vehicle (CVGI) Total Liabilities (2010 - 2026)
Commercial Vehicle's Total Liabilities came in at $318.41 million for Q2 2026, up 10.9% from $287.16 million a year earlier and up 13.1% from the prior quarter.
Commercial Vehicle (CVGI) Total Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2025, Commercial Vehicle's Total Liabilities was $258.36 million, down 10.6% from FY2024.
- Total Liabilities has declined in each of the last four years, with a five-year compound annual growth rate of -6.4% (FY2020 to FY2025).
- Going back by year, Total Liabilities was $288.98 million in FY2024 (-6.9%), $310.28 million in FY2023 (-11.4%), $350.23 million in FY2022 (-8.1%) and $381.04 million in FY2021 (+6.1%).
- The Q2 2026 figure represents the highest quarterly Total Liabilities since Q2 2024.
- Year-over-year, Total Liabilities increased in 1 of the last eight quarters, with an average decline of 7.8%.
- The fastest year-over-year change in Total Liabilities over five years came in Q3 2021 (growth of 23.1%), and the weakest in Q3 2025 (a decline of 16.6%).
- Business Quant data shows CVGI's Total Liabilities at $281.56 million (Q1 2026), $258.36 million (Q4 2025) and $263.74 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 340.33 Bn | 312.03 Bn | 7.76 Bn | 83.22 Bn |
| 2 | Amphenol | 195.04 Bn | 189.62 Bn | 3.55 Bn | 29.19 Bn |
| 3 | Deere | 171.72 Bn | 139.81 Bn | 4.66 Bn | 79.61 Bn |
| 4 | Eaton | 152.74 Bn | 149.93 Bn | 2.86 Bn | 35.88 Bn |
| 5 | Parker-Hannifin | 120.82 Bn | 118.95 Bn | 2.25 Bn | 15.46 Bn |
| 6 | Emerson Electric | 91.30 Bn | 84.04 Bn | 2.66 Bn | 21.81 Bn |
| 7 | 3M | 90.37 Bn | 71.82 Bn | 2.78 Bn | 35.36 Bn |
| 8 | Vertiv Holdings | 81.71 Bn | 72.33 Bn | 1.23 Bn | 11.14 Bn |
| 9 | Illinois Tool Works | 79.34 Bn | 75.90 Bn | 1.90 Bn | 13.60 Bn |
| 10 | Commercial Vehicle | 99.27 Mn | 99.27 Mn | 24.73 Mn | 318.41 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 318.41 Mn |
| Mar 31, 2026 | 281.56 Mn |
| Dec 31, 2025 | 258.36 Mn |
| Sep 30, 2025 | 263.74 Mn |
| Jun 30, 2025 | 287.16 Mn |
| Mar 31, 2025 | 283.17 Mn |
| Dec 31, 2024 | 288.98 Mn |
| Sep 30, 2024 | 316.08 Mn |
| Jun 30, 2024 | 333.59 Mn |
| Mar 31, 2024 | 333.71 Mn |
| Dec 31, 2023 | 310.28 Mn |
| Sep 30, 2023 | 349.49 Mn |
| Jun 30, 2023 | 356.73 Mn |
| Mar 31, 2023 | 364.05 Mn |
| Dec 31, 2022 | 350.23 Mn |
| Sep 30, 2022 | 385.69 Mn |
| Jun 30, 2022 | 423.12 Mn |
| Mar 31, 2022 | 431.39 Mn |
| Dec 31, 2021 | 381.04 Mn |
| Sep 30, 2021 | 408.53 Mn |
Commercial Vehicle Total Liabilities 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=total-liabilities&ticker=CVGI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=CVGI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();