Cooper-Standard Holdings (CPS) Amortization - Intangibles (2010 - 2026)
Cooper-Standard Holdings (CPS) reported Amortization - Intangibles of $1.23 million for Q2 2026, down 28.2% from $1.71 million a year earlier but up 0.2% from the prior quarter.
Cooper-Standard Holdings (CPS) Amortization - Intangibles (2010 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Cooper-Standard Holdings' Amortization - Intangibles came in at $5.43 million, down 17.3% year-over-year; for FY2025, it came in at $6.3 million, down 3.2% from FY2024.
- Amortization - Intangibles has a five-year compound annual growth rate of -11.5% (FY2020 to FY2025).
- By year, Amortization - 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%).
- Five-year quarterly Amortization - Intangibles spans a low of $1.22 million in Q1 2026 and a high of $1.82 million in Q4 2021.
- Year over year, Amortization - Intangibles has now declined in each of the last three quarters, with an average decline of 8.7% over the last eight quarters.
- The high point for year-over-year Amortization - Intangibles in five years was Q3 2021 (growth of 9.0%); the low point was Q2 2026 (a decline of 28.2%).
- Per Business Quant data, the three quarters before Q2 2026 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) |
|---|---|---|---|---|
| 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 | 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 Amortization - 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=amortization-intangibles&ticker=CPS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "amortization-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=amortization-intangibles&ticker=CPS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();