Cooper-Standard Holdings (CPS) Operating Leases (2019 - 2026)
Cooper-Standard Holdings (CPS) recorded Operating Leases of $76.7 million in Q2 2026, up 7.8% from $71.18 million a year earlier but down 4.5% from the prior quarter.
Cooper-Standard Holdings (CPS) Operating Leases (2019 - 2026) Analysis & Trends
At the end of FY2025, Cooper-Standard Holdings reported Operating Leases of $69.81 million, down 2.9% from FY2024.
- Annual Operating Leases has declined for four straight years, with a five-year compound annual growth rate of -5.1% (FY2020 to FY2025).
- Across earlier years, Operating Leases came in at $71.91 million in FY2024 (-6.0%), $76.48 million in FY2023 (-1.5%), $77.62 million in FY2022 (-16.3%) and $92.76 million in FY2021 (+2.5%).
- Quarterly Operating Leases has ranged from $67.96 million in Q3 2025 to $92.76 million in Q4 2021 over the past five years.
- On a year-over-year basis, Operating Leases rose in three of the last eight quarters, with an average decline of 1.0%.
- Peak year-over-year performance for Operating Leases in the last five years was growth of 12.0% in Q1 2026, against a decline of 16.3% in Q4 2022 at the low end.
- Per Business Quant, the preceding three quarters came in at $80.34 million (Q1 2026), $69.81 million (Q4 2025) and $67.96 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Tesla | 1,142.14 Bn | 976.70 Bn | 4.75 Bn |
| 2 | Toyota Motor | 240.48 Bn | -166.26 Bn | 20.95 Bn |
| 3 | Ferrari | 149.20 Bn | 141.65 Bn | 1.18 Bn |
| 4 | Honda Motor | 145.55 Bn | 12.93 Bn | 8.46 Bn |
| 5 | General Motors | 70.62 Bn | -34.25 Bn | 7.33 Bn |
| 6 | Ford Motor | 48.18 Bn | -94.29 Bn | 6.08 Bn |
| 7 | Rivian Automotive | 20.39 Bn | -2.90 Bn | 179.00 Mn |
| 8 | Magna International | 18.08 Bn | 15.64 Bn | 1.61 Bn |
| 9 | Stellantis | 12.84 Bn | -153.16 Bn | 5.55 Bn |
| 10 | Cooper-Standard Holdings | 375.82 Mn | -216.93 Mn | 83.76 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 76.70 Mn |
| Mar 31, 2026 | 80.34 Mn |
| Dec 31, 2025 | 69.81 Mn |
| Sep 30, 2025 | 67.96 Mn |
| Jun 30, 2025 | 71.18 Mn |
| Mar 31, 2025 | 71.74 Mn |
| Dec 31, 2024 | 71.91 Mn |
| Sep 30, 2024 | 74.44 Mn |
| Jun 30, 2024 | 76.20 Mn |
| Mar 31, 2024 | 79.36 Mn |
| Dec 31, 2023 | 76.48 Mn |
| Sep 30, 2023 | 70.24 Mn |
| Jun 30, 2023 | 72.16 Mn |
| Mar 31, 2023 | 75.59 Mn |
| Dec 31, 2022 | 77.62 Mn |
| Sep 30, 2022 | 79.22 Mn |
| Jun 30, 2022 | 84.94 Mn |
| Mar 31, 2022 | 89.15 Mn |
| Dec 31, 2021 | 92.76 Mn |
| Sep 30, 2021 | 84.89 Mn |
Cooper-Standard Holdings Operating Leases 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=operating-leases&ticker=CPS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-leases", "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=operating-leases&ticker=CPS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();