Cooper-Standard Holdings (CPS) Cash & Equivalents (2009 - 2026)
Cooper-Standard Holdings (CPS) reported Cash & Equivalents of $126.58 million for Q2 2026, up 4.1% from $121.62 million a year earlier and up 6.8% from the prior quarter.
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Analysis
Cooper-Standard Holdings (CPS) Cash & Equivalents (2009 - 2026) Analysis & Trends
At the end of FY2025, Cooper-Standard Holdings posted Cash & Equivalents of $191.7 million, up 12.7% from FY2024.
- Cash & Equivalents has a five-year compound annual growth rate of -15.2% (FY2020 to FY2025).
- By year, Cash & Equivalents came in at $170.04 million in FY2024 (+9.8%), $154.8 million in FY2023 (-17.2%), $186.88 million in FY2022 (-24.7%) and $248.01 million in FY2021 (-43.4%).
- Five-year quarterly Cash & Equivalents spans a low of $73.06 million in Q2 2023 and a high of $253.28 million in Q3 2021.
- Year over year, Cash & Equivalents gained in six of the last eight quarters, with growth averaging 6.7%.
- The high point for year-over-year Cash & Equivalents in five years was Q3 2025 (growth of 37.0%); the low point was Q2 2023 (a decline of 70.8%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $118.49 million (Q1 2026), $191.7 million (Q4 2025) and $147.62 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Tesla | 1,230.49 Bn | 1,061.40 Bn | 5.49 Bn | 17.85 Bn |
| 2 | Ferrari | 154.33 Bn | 146.64 Bn | 1.14 Bn | 1.96 Bn |
| 3 | General Motors | 75.30 Bn | -27.60 Bn | 9.28 Bn | 23.20 Bn |
| 4 | Ford Motor | 48.13 Bn | -86.25 Bn | -12.63 Bn | 22.28 Bn |
| 5 | Toyota Motor | 28.58 Bn | -348.98 Bn | 19.83 Bn | 60.26 Bn |
| 6 | Rivian Automotive | 20.00 Bn | -1.70 Bn | 176.00 Mn | 3.51 Bn |
| 7 | Magna International | 17.18 Bn | 11.48 Bn | 1.63 Bn | 1.38 Bn |
| 8 | Li Auto | 12.66 Bn | -36.22 Bn | 417.98 Mn | 5.91 Bn |
| 9 | Stellantis | 12.34 Bn | -148.56 Bn | 3.94 Bn | 32.94 Bn |
| 10 | Cooper-Standard Holdings | 350.63 Mn | -207.36 Mn | 77.79 Mn | 112.28 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 112.28 Mn |
| Jun 30, 2026 | 126.58 Mn |
| Mar 31, 2026 | 118.49 Mn |
| Dec 31, 2025 | 191.70 Mn |
| Sep 30, 2025 | 147.62 Mn |
| Jun 30, 2025 | 121.62 Mn |
| Mar 31, 2025 | 140.37 Mn |
| Dec 31, 2024 | 170.04 Mn |
| Sep 30, 2024 | 107.73 Mn |
| Jun 30, 2024 | 93.79 Mn |
| Mar 31, 2024 | 114.19 Mn |
| Dec 31, 2023 | 154.80 Mn |
| Sep 30, 2023 | 204.85 Mn |
| Jun 30, 2023 | 73.06 Mn |
| Mar 31, 2023 | 105.84 Mn |
| Dec 31, 2022 | 186.88 Mn |
| Sep 30, 2022 | 231.18 Mn |
| Jun 30, 2022 | 250.46 Mn |
| Mar 31, 2022 | 252.91 Mn |
| Dec 31, 2021 | 248.01 Mn |
API Access
Cooper-Standard Holdings Cash & Equivalents 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=cash-and-equivalents&ticker=CPS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=CPS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();