Coty (COTY) Current Debt (2012 - 2019)
Coty's Current Debt came in at $600,000 for FY2022 (year ended Jun 30, 2022).
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Analysis
Coty (COTY) Current Debt (2012 - 2019) Analysis & Trends
Going back to FY2012, Coty's Current Debt data covers 10 fiscal years.
- The FY2022 figure represents the highest annual Current Debt since FY2018.
- Per Business Quant, earlier fiscal years put Current Debt at -$4.3 million in FY2020, -$21.3 million in FY2019 and $21 million in FY2018.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Current Debt (Qtr) |
|---|---|---|---|---|---|
| 1 | Procter & Gamble | 346.43 Bn | 302.42 Bn | 10.28 Bn | 1.65 Bn |
| 2 | Colgate Palmolive | 69.04 Bn | 64.10 Bn | 3.30 Bn | -85.00 Mn |
| 3 | Estee Lauder Companies | 34.63 Bn | 22.70 Bn | 2.74 Bn | - |
| 4 | Kenvue | 34.35 Bn | 29.97 Bn | 2.30 Bn | 560.00 Mn |
| 5 | Kimberly Clark | 32.85 Bn | 30.17 Bn | 1.60 Bn | -565.00 Mn |
| 6 | Church & Dwight | 22.69 Bn | 21.21 Bn | 693.90 Mn | - |
| 7 | Clorox | 9.84 Bn | 8.28 Bn | 804.00 Mn | -503.00 Mn |
| 8 | e.l.f. Beauty | 6.00 Bn | 4.97 Bn | 398.84 Mn | - |
| 9 | Reynolds Consumer Products | 4.65 Bn | 4.32 Bn | 245.00 Mn | - |
| 10 | Coty | 2.36 Bn | 1.40 Bn | 772.70 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2019 | -600,000.00 |
| Sep 30, 2019 | -3.40 Mn |
| Jun 30, 2019 | -4.20 Mn |
| Mar 31, 2019 | -56.80 Mn |
| Dec 31, 2018 | 57.50 Mn |
| Sep 30, 2018 | -17.80 Mn |
| Jun 30, 2018 | 15.90 Mn |
| Mar 31, 2018 | -66.40 Mn |
| Dec 31, 2017 | 72.00 Mn |
| Sep 30, 2017 | -500,000.00 |
| Jun 30, 2017 | -500,000.00 |
| Mar 31, 2017 | -9.20 Mn |
| Dec 31, 2016 | -34.70 Mn |
| Sep 30, 2016 | -4.80 Mn |
| Jun 30, 2016 | 19.30 Mn |
| Mar 31, 2016 | 22.00 Mn |
| Dec 31, 2015 | -26.60 Mn |
| Sep 30, 2015 | 10.70 Mn |
| Jun 30, 2015 | -2.40 Mn |
| Mar 31, 2015 | -600,000.00 |
API Access
Coty Current Debt 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=current-debt&ticker=COTY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "current-debt", "ticker": "COTY", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=current-debt&ticker=COTY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();