Cooper-Standard Holdings (CPS) Non-Current Assets (2010 - 2026)
Cooper-Standard Holdings' Non-Current Assets came in at $944.78 million for Q2 2026, up 1.1% from $934.32 million a year earlier but down 0.5% from the prior quarter.
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Analysis
Cooper-Standard Holdings (CPS) Non-Current Assets (2010 - 2026) Analysis & Trends
At the end of FY2025, Cooper-Standard Holdings' Non-Current Assets was $952.07 million, up 2.6% from FY2024.
- Non-Current Assets carries a five-year compound annual growth rate of -6.8% (FY2020 to FY2025).
- Going back by year, Non-Current Assets was $927.81 million in FY2024 (-4.5%), $971.71 million in FY2023 (-4.5%), $1.02 billion in FY2022 (-17.4%) and $1.23 billion in FY2021 (-8.9%).
- The five-year range for quarterly Non-Current Assets is $916.34 million (Q3 2025) to $1.25 billion (Q3 2021).
- Year-over-year, Non-Current Assets has increased for three consecutive quarters, with an average decline of 0.7% over the last eight quarters.
- The fastest year-over-year change in Non-Current Assets over five years came in Q1 2026 (growth of 3.2%), and the weakest in Q4 2022 (a decline of 17.4%).
- Business Quant data shows CPS's Non-Current Assets at $949.95 million (Q1 2026), $952.07 million (Q4 2025) and $916.34 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non-Current Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Tesla | 1,221.71 Bn | 1,043.93 Bn | 5.49 Bn | 87.12 Bn |
| 2 | General Motors | 77.93 Bn | -26.68 Bn | 9.28 Bn | 173.32 Bn |
| 3 | Ferrari | 74.00 Bn | 67.46 Bn | - | 5.64 Bn |
| 4 | Ford Motor | 49.18 Bn | -85.24 Bn | 7.38 Bn | 171.21 Bn |
| 5 | Toyota Motor | 28.58 Bn | -344.44 Bn | - | 392.25 Bn |
| 6 | Rivian Automotive | 20.30 Bn | -1.42 Bn | 176.00 Mn | 7.59 Bn |
| 7 | Magna International | 17.50 Bn | 12.21 Bn | - | 1.49 Bn |
| 8 | Stellantis | 12.66 Bn | -174.61 Bn | - | 134.64 Bn |
| 9 | Li Auto | 12.65 Bn | -27.40 Bn | - | 5.58 Bn |
| 10 | Cooper-Standard Holdings | 355.50 Mn | -193.54 Mn | 77.79 Mn | 933.31 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 933.31 Mn |
| Jun 30, 2026 | 944.78 Mn |
| Mar 31, 2026 | 949.95 Mn |
| Dec 31, 2025 | 952.07 Mn |
| Sep 30, 2025 | 916.34 Mn |
| Jun 30, 2025 | 934.32 Mn |
| Mar 31, 2025 | 920.84 Mn |
| Dec 31, 2024 | 927.81 Mn |
| Sep 30, 2024 | 925.50 Mn |
| Jun 30, 2024 | 930.38 Mn |
| Mar 31, 2024 | 951.51 Mn |
| Dec 31, 2023 | 971.71 Mn |
| Sep 30, 2023 | 965.05 Mn |
| Jun 30, 2023 | 986.94 Mn |
| Mar 31, 2023 | 1.01 Bn |
| Dec 31, 2022 | 1.02 Bn |
| Sep 30, 2022 | 1.10 Bn |
| Jun 30, 2022 | 1.14 Bn |
| Mar 31, 2022 | 1.19 Bn |
| Dec 31, 2021 | 1.23 Bn |
API Access
Cooper-Standard Holdings Non-Current Assets 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=non-current-assets&ticker=CPS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-assets", "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=non-current-assets&ticker=CPS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();