Cooper-Standard Holdings (CPS) Goodwill & Intangibles (2010 - 2026)
Cooper-Standard Holdings' Goodwill & Intangibles came in at $167.23 million for Q2 2026, down 3.1% from $172.51 million a year earlier and down 0.7% from the prior quarter.
Cooper-Standard Holdings (CPS) Goodwill & Intangibles (2010 - 2026) Analysis & Trends
At the end of FY2025, Cooper-Standard Holdings' Goodwill & Intangibles was $169.67 million, down 2.6% from FY2024.
- Goodwill & Intangibles has declined in each of the last seven years, with a five-year compound annual growth rate of -4.2% (FY2020 to FY2025).
- Going back by year, Goodwill & Intangibles was $174.25 million in FY2024 (-3.9%), $181.38 million in FY2023 (-4.4%), $189.66 million in FY2022 (-6.4%) and $202.66 million in FY2021 (-3.5%).
- The Q2 2026 figure represents the lowest quarterly Goodwill & Intangibles in data going back to Q4 2010.
- Year-over-year, Goodwill & Intangibles has declined for 28 consecutive quarters, with an average decline of 3.2% over the last eight quarters.
- The year-over-year decline in Goodwill & Intangibles has ranged between 2.6% (Q4 2025) and 7.0% (Q3 2022) over the last five years.
- Business Quant data shows CPS's Goodwill & Intangibles at $168.46 million (Q1 2026), $169.67 million (Q4 2025) and $170.69 million (Q3 2025) in the three quarters before Q2 2026.
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
| Date | Value |
|---|---|
| Jun 30, 2026 | 167.23 Mn |
| Mar 31, 2026 | 168.46 Mn |
| Dec 31, 2025 | 169.67 Mn |
| Sep 30, 2025 | 170.69 Mn |
| Jun 30, 2025 | 172.51 Mn |
| Mar 31, 2025 | 173.82 Mn |
| Dec 31, 2024 | 174.25 Mn |
| Sep 30, 2024 | 176.49 Mn |
| Jun 30, 2024 | 177.78 Mn |
| Mar 31, 2024 | 179.48 Mn |
| Dec 31, 2023 | 181.38 Mn |
| Sep 30, 2023 | 182.69 Mn |
| Jun 30, 2023 | 185.82 Mn |
| Mar 31, 2023 | 187.91 Mn |
| Dec 31, 2022 | 189.66 Mn |
| Sep 30, 2022 | 190.37 Mn |
| Jun 30, 2022 | 193.23 Mn |
| Mar 31, 2022 | 195.81 Mn |
| Dec 31, 2021 | 202.66 Mn |
| Sep 30, 2021 | 204.65 Mn |
Cooper-Standard Holdings Goodwill & Intangibles 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=goodwill-and-intangibles&ticker=CPS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "goodwill-and-intangibles", "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=goodwill-and-intangibles&ticker=CPS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();