Cooper-Standard Holdings (CPS) Amortizatization of Intangibles (2010 - 2026)
Cooper-Standard Holdings (CPS) recorded Amortizatization of Intangibles of $1.23 million in Q2 2026, down 28.2% from $1.71 million a year earlier but up 0.2% from the prior quarter.
Cooper-Standard Holdings (CPS) Amortizatization of Intangibles (2010 - 2026) Analysis & Trends
On a TTM basis, Cooper-Standard Holdings' Amortizatization of Intangibles came in at $5.43 million as of Jun 30, 2026, down 17.3% year-over-year; for FY2025, it was $6.3 million, down 3.2% from FY2024.
- Annual Amortizatization of Intangibles has a five-year compound annual growth rate of -11.5% (FY2020 to FY2025).
- Across earlier years, Amortizatization of Intangibles came in at $6.51 million in FY2024 (-4.3%), $6.8 million in FY2023 (+1.3%), $6.72 million in FY2022 (-8.6%) and $7.35 million in FY2021 (-36.7%).
- Quarterly Amortizatization of Intangibles has ranged from $1.22 million in Q1 2026 to $1.82 million in Q4 2021 over the past five years.
- On a year-over-year basis, Amortizatization of Intangibles has declined for three consecutive quarters, with an average decline of 8.7% over the last eight quarters.
- Peak year-over-year performance for Amortizatization of Intangibles in the last five years was growth of 9.0% in Q3 2021, against a decline of 28.2% in Q2 2026 at the low end.
- Per Business Quant, the preceding three quarters came in at $1.22 million (Q1 2026), $1.24 million (Q4 2025) and $1.75 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Amort. of Intangibles (Qtr) |
|---|---|---|---|---|---|
| 1 | Tesla | 1,199.60 Bn | 1,034.16 Bn | 4.75 Bn | - |
| 2 | Toyota Motor | 237.87 Bn | -168.87 Bn | 20.95 Bn | - |
| 3 | Ferrari | 144.10 Bn | 136.55 Bn | 1.18 Bn | - |
| 4 | Honda Motor | 142.11 Bn | 9.49 Bn | 8.46 Bn | - |
| 5 | General Motors | 68.70 Bn | -36.17 Bn | 7.33 Bn | - |
| 6 | Ford Motor | 47.39 Bn | -95.07 Bn | 6.08 Bn | - |
| 7 | Rivian Automotive | 19.48 Bn | -3.81 Bn | 179.00 Mn | - |
| 8 | Magna International | 18.09 Bn | 15.65 Bn | 1.61 Bn | - |
| 9 | Stellantis | 12.78 Bn | -153.22 Bn | 5.55 Bn | - |
| 10 | Cooper-Standard Holdings | 388.26 Mn | -204.49 Mn | 83.76 Mn | 1.23 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.23 Mn |
| Mar 31, 2026 | 1.22 Mn |
| Dec 31, 2025 | 1.24 Mn |
| Sep 30, 2025 | 1.75 Mn |
| Jun 30, 2025 | 1.71 Mn |
| Mar 31, 2025 | 1.61 Mn |
| Dec 31, 2024 | 1.62 Mn |
| Sep 30, 2024 | 1.63 Mn |
| Jun 30, 2024 | 1.61 Mn |
| Mar 31, 2024 | 1.66 Mn |
| Dec 31, 2023 | 1.66 Mn |
| Sep 30, 2023 | 1.66 Mn |
| Jun 30, 2023 | 1.67 Mn |
| Mar 31, 2023 | 1.81 Mn |
| Dec 31, 2022 | 1.54 Mn |
| Sep 30, 2022 | 1.69 Mn |
| Jun 30, 2022 | 1.74 Mn |
| Mar 31, 2022 | 1.75 Mn |
| Dec 31, 2021 | 1.82 Mn |
| Sep 30, 2021 | 1.82 Mn |
Cooper-Standard Holdings Amortizatization of 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=amortizatization-of-intangibles&ticker=CPS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "amortizatization-of-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=amortizatization-of-intangibles&ticker=CPS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();