Cooper Companies (COO) Operating Leases (2020 - 2022)
Cooper Companies (COO) reported Operating Leases of $215.6 million for fiscal Q3 2022 (quarter ended Jul 31, 2022), down 8.9% from $236.7 million a year earlier and down 4.6% from the prior quarter.
Cooper Companies (COO) Operating Leases (2020 - 2022) Analysis & Trends
At the end of FY2021 (ended Oct 31, 2021), Cooper Companies posted Operating Leases of $231.7 million, down 2.2% from FY2020.
- By fiscal year, Operating Leases came in at $236.8 million in FY2020.
- The fiscal Q3 2022 figure ranks as the lowest quarterly Operating Leases in data going back to fiscal Q1 2020.
- Year over year, Operating Leases has now declined in each of the last four quarters, with an average decline of 2.0% over the last seven quarters.
- Per Business Quant data, the three fiscal quarters before Q3 2022 came in at $226 million (Q2 2022), $241 million (Q1 2022) and $231.7 million (Q4 2021).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 249.17 Bn | 228.32 Bn | 4.88 Bn |
| 2 | Abbott Laboratories | 179.42 Bn | 150.51 Bn | 7.27 Bn |
| 3 | Danaher | 161.98 Bn | 145.80 Bn | 3.61 Bn |
| 4 | Intuitive Surgical | 156.76 Bn | 137.18 Bn | 2.08 Bn |
| 5 | Medtronic | 122.13 Bn | 88.00 Bn | 6.34 Bn |
| 6 | Stryker | 117.84 Bn | 103.96 Bn | 4.50 Bn |
| 7 | Boston Scientific | 66.19 Bn | 61.20 Bn | 3.85 Bn |
| 8 | Becton Dickinson | 54.16 Bn | 51.31 Bn | 2.32 Bn |
| 9 | Edwards Lifesciences | 51.35 Bn | 35.47 Bn | 1.35 Bn |
| 10 | Cooper Companies | 11.64 Bn | 11.11 Bn | 711.90 Mn |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2022 | 215.60 Mn |
| Apr 30, 2022 | 226.00 Mn |
| Jan 31, 2022 | 241.00 Mn |
| Oct 31, 2021 | 231.70 Mn |
| Jul 31, 2021 | 236.70 Mn |
| Apr 30, 2021 | 240.90 Mn |
| Jan 31, 2021 | 246.00 Mn |
| Oct 31, 2020 | 236.80 Mn |
| Jul 31, 2020 | 236.60 Mn |
| Apr 30, 2020 | 232.70 Mn |
| Jan 31, 2020 | 241.20 Mn |
Cooper Companies 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=COO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-leases", "ticker": "COO", "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=COO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();