Cooper Companies (COO) Notes Payables (2009 - 2024)
Cooper Companies' Short-Term Borrowings came in at $534.6 million for fiscal Q3 2022 (quarter ended Jul 31, 2022), up 21.5% from $440.1 million a year earlier but down 41.0% from the prior quarter.
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Analysis
Cooper Companies (COO) Notes Payables (2009 - 2024) Analysis & Trends
At the end of FY2021 (ended Oct 31, 2021), Cooper Companies' Short-Term Borrowings was $82.9 million, down 79.7% from FY2020.
- Short-Term Borrowings carries a five-year compound annual growth rate of -18.2% (FY2016 to FY2021).
- Going back by fiscal year, Short-Term Borrowings was $409.3 million in FY2020 (-27.4%), $563.7 million in FY2019, $37.1 million in FY2018 (+58.5%) and $23.4 million in FY2017 (-89.7%).
- The five-year range for quarterly Short-Term Borrowings is $23.4 million (fiscal Q4 2017) to $912 million (fiscal Q1 2022).
- Year-over-year, Short-Term Borrowings has increased for three consecutive quarters, with growth averaging 16.5% over the last seven quarters.
- The fastest year-over-year change in Short-Term Borrowings over five years came in fiscal Q1 2022 (growth of 127.6%), and the weakest in fiscal Q4 2017 (a decline of 89.7%).
- Business Quant data shows COO's Short-Term Borrowings at $905.7 million (Q2 2022), $912 million (Q1 2022) and $82.9 million (Q4 2021) in the three fiscal quarters before Q3 2022.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 259.44 Bn | 236.08 Bn | 5.13 Bn |
| 2 | Abbott Laboratories | 187.98 Bn | 162.45 Bn | 7.39 Bn |
| 3 | Danaher | 163.91 Bn | 143.58 Bn | 3.84 Bn |
| 4 | Intuitive Surgical | 153.75 Bn | 134.17 Bn | 2.08 Bn |
| 5 | Medtronic | 131.67 Bn | 97.80 Bn | 6.34 Bn |
| 6 | Stryker | 117.84 Bn | 104.03 Bn | 4.25 Bn |
| 7 | Boston Scientific | 64.27 Bn | 59.95 Bn | 3.43 Bn |
| 8 | Edwards Lifesciences | 61.69 Bn | 45.00 Bn | 1.35 Bn |
| 9 | Medline | 51.94 Bn | 49.07 Bn | 1.93 Bn |
| 10 | Cooper Companies | 11.91 Bn | 11.38 Bn | 711.90 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Oct 31, 2024 | 33.30 Mn |
| Jul 31, 2022 | 534.60 Mn |
| Apr 30, 2022 | 905.70 Mn |
| Jan 31, 2022 | 912.00 Mn |
| Oct 31, 2021 | 82.90 Mn |
| Jul 31, 2021 | 440.10 Mn |
| Apr 30, 2021 | 412.60 Mn |
| Jan 31, 2021 | 400.70 Mn |
| Oct 31, 2020 | 409.30 Mn |
| Jul 31, 2020 | 552.60 Mn |
| Apr 30, 2020 | 554.50 Mn |
| Oct 31, 2019 | 563.70 Mn |
| Apr 30, 2019 | 454.60 Mn |
| Jan 31, 2019 | 445.50 Mn |
| Oct 31, 2018 | 37.10 Mn |
| Jul 31, 2018 | 45.30 Mn |
| Apr 30, 2018 | 41.30 Mn |
| Jan 31, 2018 | 29.60 Mn |
| Oct 31, 2017 | 23.40 Mn |
| Jul 31, 2017 | 33.40 Mn |
API Access
Cooper Companies Notes Payables 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=notes-payables&ticker=COO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "notes-payables", "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=notes-payables&ticker=COO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();