Cooper-Standard Holdings (CPS) Price to Earnings (2011 - 2025)
Cooper-Standard Holdings' (CPS) Price to Earnings was 19.91 for Q3 2025, up 53.9% from the prior quarter.
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Analysis
Cooper-Standard Holdings (CPS) Price to Earnings (2011 - 2025) Analysis & Trends
For FY2019, Price to Earnings at Cooper-Standard Holdings was 8.27, down 21.4% from FY2018.
- By year, Price to Earnings came in at 10.53 in FY2018 (-33.8%), 15.91 in FY2017 (+20.9%), 13.16 in FY2016 (+8.7%) and 12.11 in FY2015 (-47.5%).
- The Q3 2025 figure ranks as the highest quarterly Price to Earnings since Q1 2015.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Tesla | 1,148.52 Bn | 983.08 Bn | 4.75 Bn |
| 2 | Toyota Motor | 242.17 Bn | -164.57 Bn | 20.95 Bn |
| 3 | Ferrari | 145.86 Bn | 138.30 Bn | 1.18 Bn |
| 4 | Honda Motor | 143.38 Bn | 10.76 Bn | 8.46 Bn |
| 5 | General Motors | 67.56 Bn | -37.30 Bn | 7.33 Bn |
| 6 | Ford Motor | 47.24 Bn | -95.23 Bn | 6.08 Bn |
| 7 | Rivian Automotive | 20.35 Bn | -2.94 Bn | 179.00 Mn |
| 8 | Magna International | 17.85 Bn | 15.41 Bn | 1.61 Bn |
| 9 | Stellantis | 12.63 Bn | -153.36 Bn | 5.55 Bn |
| 10 | Cooper-Standard Holdings | 369.78 Mn | -222.97 Mn | 83.76 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2025 | 19.91 |
| Jun 30, 2025 | 12.94 |
| Dec 31, 2019 | 8.27 |
| Sep 30, 2019 | 6.22 |
| Jun 30, 2019 | 5.27 |
| Mar 31, 2019 | 19.11 |
| Dec 31, 2018 | 10.53 |
| Sep 30, 2018 | 13.64 |
| Jun 30, 2018 | 15.58 |
| Mar 31, 2018 | 14.92 |
| Dec 31, 2017 | 16.22 |
| Sep 30, 2017 | 14.80 |
| Jun 30, 2017 | 11.99 |
| Mar 31, 2017 | 13.26 |
| Dec 31, 2016 | 13.16 |
| Sep 30, 2016 | 13.47 |
| Jun 30, 2016 | 10.85 |
| Mar 31, 2016 | 10.11 |
| Dec 31, 2015 | 12.11 |
| Sep 30, 2015 | 13.05 |
API Access
Cooper-Standard Holdings Price to Earnings 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=price-to-earnings&ticker=CPS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-earnings", "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=price-to-earnings&ticker=CPS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();