Cooper-Standard Holdings (CPS) Cash & Equivalents (2010 - 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.
Cooper-Standard Holdings (CPS) Cash & Equivalents (2010 - 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 Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Tesla | 1,148.52 Bn | 983.08 Bn | 4.75 Bn | 15.22 Bn |
| 2 | Toyota Motor | 242.17 Bn | -164.57 Bn | 20.95 Bn | 64.89 Bn |
| 3 | Ferrari | 145.86 Bn | 138.30 Bn | 1.18 Bn | 1.73 Bn |
| 4 | Honda Motor | 143.38 Bn | 10.76 Bn | 8.46 Bn | 33.23 Bn |
| 5 | General Motors | 67.56 Bn | -37.30 Bn | 7.33 Bn | 20.13 Bn |
| 6 | Ford Motor | 47.24 Bn | -95.23 Bn | 6.08 Bn | 18.60 Bn |
| 7 | Rivian Automotive | 20.35 Bn | -2.94 Bn | 179.00 Mn | 3.59 Bn |
| 8 | Magna International | 17.85 Bn | 15.41 Bn | 1.61 Bn | 1.43 Bn |
| 9 | Stellantis | 12.63 Bn | -153.36 Bn | 5.55 Bn | 39.17 Bn |
| 10 | Cooper-Standard Holdings | 369.78 Mn | -222.97 Mn | 83.76 Mn | 126.58 Mn |
Historic Data
| Date | Value |
|---|---|
| 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 |
| Sep 30, 2021 | 253.28 Mn |
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_KEY
import 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();