Cooper-Standard Holdings (CPS) Enterprise Value (2010 - 2026)
Cooper-Standard Holdings' Enterprise Value was $345.71 million in Q2 2026, up 38.4% from $249.73 million a year earlier but down 6.1% from the prior quarter.
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Analysis
Cooper-Standard Holdings (CPS) Enterprise Value (2010 - 2026) Analysis & Trends
On a trailing twelve-month basis, Cooper-Standard Holdings' Enterprise Value was -$112.09 million through Jun 30, 2026; for FY2025, it came in at $379.24 million, up 561.7% from FY2024.
- Enterprise Value shows a five-year compound annual growth rate of 18.2% (FY2020 to FY2025).
- In earlier years, Enterprise Value was $57.31 million in FY2024 (-66.8%), $172.8 million in FY2023, -$38.4 million in FY2022 and $139.26 million in FY2021 (-15.3%).
- Quarterly Enterprise Value has moved between -$170.72 million (Q2 2022) and $495.93 million (Q3 2025) over five years.
- Compared with a year earlier, Enterprise Value has increased for five straight quarters, with growth averaging 216.4% over the last eight quarters.
- The best year-over-year quarter for Enterprise Value over five years was Q3 2024 (growth of 602.2%); the worst was Q4 2024 (a decline of 66.8%).
- Per Business Quant data, CPS's Enterprise Value in the three quarters before Q2 2026 was $368.19 million (Q1 2026), $379.24 million (Q4 2025) and $495.93 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Tesla | 1,142.14 Bn | 976.70 Bn | 4.75 Bn |
| 2 | Toyota Motor | 240.48 Bn | -166.26 Bn | 20.95 Bn |
| 3 | Ferrari | 149.20 Bn | 141.65 Bn | 1.18 Bn |
| 4 | Honda Motor | 145.55 Bn | 12.93 Bn | 8.46 Bn |
| 5 | General Motors | 70.62 Bn | -34.25 Bn | 7.33 Bn |
| 6 | Ford Motor | 48.18 Bn | -94.29 Bn | 6.08 Bn |
| 7 | Rivian Automotive | 20.39 Bn | -2.90 Bn | 179.00 Mn |
| 8 | Magna International | 18.08 Bn | 15.64 Bn | 1.61 Bn |
| 9 | Stellantis | 12.84 Bn | -153.16 Bn | 5.55 Bn |
| 10 | Cooper-Standard Holdings | 375.82 Mn | -216.93 Mn | 83.76 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 345.71 Mn |
| Mar 31, 2026 | 368.19 Mn |
| Dec 31, 2025 | 379.24 Mn |
| Sep 30, 2025 | 495.93 Mn |
| Jun 30, 2025 | 249.73 Mn |
| Mar 31, 2025 | 120.88 Mn |
| Dec 31, 2024 | 57.31 Mn |
| Sep 30, 2024 | 124.64 Mn |
| Jun 30, 2024 | 113.82 Mn |
| Mar 31, 2024 | 164.19 Mn |
| Dec 31, 2023 | 172.80 Mn |
| Sep 30, 2023 | 17.75 Mn |
| Jun 30, 2023 | 164.69 Mn |
| Mar 31, 2023 | 130.92 Mn |
| Dec 31, 2022 | -38.40 Mn |
| Sep 30, 2022 | -137.05 Mn |
| Jun 30, 2022 | -170.72 Mn |
| Mar 31, 2022 | -108.25 Mn |
| Dec 31, 2021 | 139.26 Mn |
| Sep 30, 2021 | 132.24 Mn |
API Access
Cooper-Standard Holdings Enterprise Value 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=enterprise-value&ticker=CPS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "enterprise-value", "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=enterprise-value&ticker=CPS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();