Cooper-Standard Holdings (CPS) Net of Acquisitions & Divestments (2011 - 2025)
Analysis
Cooper-Standard Holdings (CPS) Net of Acquisitions & Divestments (2011 - 2025) Analysis & Trends
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Net Acquisitions (Qtr) |
|---|---|---|---|---|---|
| 1 | Tesla | 1,204.88 Bn | 1,039.43 Bn | 4.75 Bn | - |
| 2 | Ferrari | 145.99 Bn | 138.48 Bn | 1.18 Bn | - |
| 3 | General Motors | 64.46 Bn | -38.43 Bn | 9.28 Bn | - |
| 4 | Honda Motor | 51.63 Bn | -96.53 Bn | 8.46 Bn | - |
| 5 | Ford Motor | 45.40 Bn | -97.07 Bn | 6.08 Bn | - |
| 6 | Toyota Motor | 25.90 Bn | -374.92 Bn | 20.95 Bn | - |
| 7 | Magna International | 17.93 Bn | 12.30 Bn | 1.61 Bn | - |
| 8 | Rivian Automotive | 16.11 Bn | -7.18 Bn | 179.00 Mn | - |
| 9 | Stellantis | 11.76 Bn | -152.36 Bn | 5.55 Bn | 396.37 Mn |
| 10 | Cooper-Standard Holdings | 362.14 Mn | -230.62 Mn | 83.76 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2025 | 181,000.00 |
| Mar 31, 2025 | 2.38 Mn |
| Dec 31, 2024 | 763,000.00 |
| Dec 31, 2020 | 34.01 Mn |
| Sep 30, 2020 | -17.01 Mn |
| Jun 30, 2019 | 243.36 Mn |
| Mar 31, 2019 | -452,000.00 |
| Dec 31, 2018 | 192.52 Mn |
| Sep 30, 2018 | -92.48 Mn |
| Jun 30, 2018 | -2.97 Mn |
| Mar 31, 2018 | -3.22 Mn |
| Sep 30, 2017 | -478,000.00 |
| Sep 30, 2016 | -34.46 Mn |
| Mar 31, 2016 | -3.02 Mn |
| Dec 31, 2015 | 33.50 Mn |
| Jun 30, 2015 | -9.95 Mn |
| Mar 31, 2015 | -24.44 Mn |
| Dec 31, 2014 | -13.72 Mn |
| Sep 30, 2014 | -5.05 Mn |
| Jun 30, 2014 | 3.22 Mn |
API Access
Cooper-Standard Holdings Net of Acquisitions & Divestments 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=net-of-acquisitions-and-divestments&ticker=CPS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "net-of-acquisitions-and-divestments", "ticker": "CPS", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=net-of-acquisitions-and-divestments&ticker=CPS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();