Coty (COTY) Current Debt (2012 - 2025)
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 - 2025) 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 | 371.53 Bn | 327.28 Bn | 10.28 Bn | 1.65 Bn |
| 2 | Colgate Palmolive | 75.49 Bn | 70.22 Bn | 3.30 Bn | -85.00 Mn |
| 3 | Estee Lauder Companies | 38.41 Bn | 26.49 Bn | 2.74 Bn | - |
| 4 | Kenvue | 37.04 Bn | 32.65 Bn | 2.30 Bn | 560.00 Mn |
| 5 | Kimberly Clark | 35.98 Bn | 33.18 Bn | 1.60 Bn | -565.00 Mn |
| 6 | Church & Dwight | 25.05 Bn | 23.58 Bn | 693.90 Mn | - |
| 7 | Clorox | 10.64 Bn | 8.92 Bn | 804.00 Mn | -503.00 Mn |
| 8 | e.l.f. Beauty | 6.78 Bn | 5.75 Bn | 398.84 Mn | - |
| 9 | Reynolds Consumer Products | 4.84 Bn | 4.50 Bn | 245.00 Mn | - |
| 10 | Coty | 2.82 Bn | 1.69 Bn | 772.70 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2025 | -5.00 Mn |
| Jun 30, 2022 | -4.20 Mn |
| Mar 31, 2022 | 4.80 Mn |
| Jun 30, 2021 | -500,000.00 |
| Mar 31, 2021 | -700,000.00 |
| Dec 31, 2020 | -400,000.00 |
| Sep 30, 2020 | 1.60 Mn |
| 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 |
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();