Cooper-Standard Holdings (CPS) EBITDA (2010 - 2026)
Cooper-Standard Holdings' EBITDA was $36.14 million in Q2 2026, down 41.5% from $61.8 million a year earlier and down 23.2% from the prior quarter.
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Analysis
Cooper-Standard Holdings (CPS) EBITDA (2010 - 2026) Analysis & Trends
On a trailing twelve-month basis, Cooper-Standard Holdings' EBITDA was $159.9 million through Jun 30, 2026, down 25.4% year-over-year; for FY2025, it came in at $184.58 million, up 6.5% from FY2024.
- EBITDA has now increased for three consecutive years.
- In earlier years, EBITDA was $173.39 million in FY2024 (+11.2%), $155.96 million in FY2023 (+792.5%), $17.47 million in FY2022 and -$70.08 million in FY2021.
- Quarterly EBITDA has moved between -$36.84 million (Q3 2021) and $79.88 million (Q3 2023) over five years.
- Compared with a year earlier, EBITDA was higher in five of the last eight quarters, with growth averaging 18.2%.
- The best year-over-year quarter for EBITDA over five years was Q3 2023 (growth of 288.4%); the worst was Q4 2025 (a decline of 55.6%).
- Per Business Quant data, CPS's EBITDA in the three quarters before Q2 2026 was $47.08 million (Q1 2026), $25.34 million (Q4 2025) and $51.35 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Tesla | 1,142.14 Bn | 976.70 Bn | 4.75 Bn | 2.02 Bn |
| 2 | Toyota Motor | 240.48 Bn | -166.26 Bn | 20.95 Bn | 10.70 Bn |
| 3 | Ferrari | 149.20 Bn | 141.65 Bn | 1.18 Bn | 878.33 Mn |
| 4 | Honda Motor | 145.55 Bn | 12.93 Bn | 8.46 Bn | - |
| 5 | General Motors | 70.62 Bn | -34.25 Bn | 7.33 Bn | 2.76 Bn |
| 6 | Ford Motor | 48.18 Bn | -94.29 Bn | 6.08 Bn | 2.50 Bn |
| 7 | Rivian Automotive | 20.39 Bn | -2.90 Bn | 179.00 Mn | -599.00 Mn |
| 8 | Magna International | 18.08 Bn | 15.64 Bn | 1.61 Bn | - |
| 9 | Stellantis | 12.84 Bn | -153.16 Bn | 5.55 Bn | 2.67 Bn |
| 10 | Cooper-Standard Holdings | 375.82 Mn | -216.93 Mn | 83.76 Mn | 36.14 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 36.14 Mn |
| Mar 31, 2026 | 47.08 Mn |
| Dec 31, 2025 | 25.34 Mn |
| Sep 30, 2025 | 51.35 Mn |
| Jun 30, 2025 | 61.80 Mn |
| Mar 31, 2025 | 46.09 Mn |
| Dec 31, 2024 | 57.04 Mn |
| Sep 30, 2024 | 49.39 Mn |
| Jun 30, 2024 | 37.02 Mn |
| Mar 31, 2024 | 29.95 Mn |
| Dec 31, 2023 | 22.45 Mn |
| Sep 30, 2023 | 79.88 Mn |
| Jun 30, 2023 | 40.10 Mn |
| Mar 31, 2023 | 13.54 Mn |
| Dec 31, 2022 | -17.51 Mn |
| Sep 30, 2022 | 20.57 Mn |
| Jun 30, 2022 | 22.68 Mn |
| Mar 31, 2022 | -8.26 Mn |
| Dec 31, 2021 | -24.91 Mn |
| Sep 30, 2021 | -36.84 Mn |
API Access
Cooper-Standard Holdings EBITDA 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=ebitda&ticker=CPS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=CPS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();