Coty (COTY) Short-Term Debt issuances (2012 - 2017)
Coty's Short-Term Debt issuances came in at $12.5 million for fiscal Q4 2026 (quarter ended Jun 30, 2026), compared with -$5 million a year earlier.
Analysis
Coty (COTY) Short-Term Debt issuances (2012 - 2017) Analysis & Trends
Going back to fiscal Q1 2013, Coty's Short-Term Debt issuances data covers 28 quarters.
- Short-Term Debt issuances carries a four-year compound annual growth rate of 113.6% (FY2022 to FY2026).
- Going back by fiscal year, Short-Term Debt issuances was $600,000 in FY2022.
- The fiscal Q4 2026 figure represents the highest quarterly Short-Term Debt issuances since fiscal Q4 2015.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ST Debt Issuance (Qtr) |
|---|---|---|---|---|---|
| 1 | Procter & Gamble | 386.36 Bn | 342.11 Bn | 10.28 Bn | 156.00 Mn |
| 2 | Colgate Palmolive | 76.96 Bn | 71.69 Bn | 3.30 Bn | - |
| 3 | Estee Lauder Companies | 38.04 Bn | 26.11 Bn | 2.74 Bn | - |
| 4 | Kenvue | 37.36 Bn | 32.98 Bn | 2.30 Bn | - |
| 5 | Kimberly Clark | 36.37 Bn | 33.57 Bn | 1.60 Bn | - |
| 6 | Church & Dwight | 25.48 Bn | 24.00 Bn | 693.90 Mn | - |
| 7 | Clorox | 10.51 Bn | 8.79 Bn | 804.00 Mn | - |
| 8 | e.l.f. Beauty | 6.67 Bn | 5.65 Bn | 398.84 Mn | - |
| 9 | Reynolds Consumer Products | 4.86 Bn | 4.53 Bn | 245.00 Mn | - |
| 10 | Coty | 2.72 Bn | 1.59 Bn | 772.70 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2017 | 3.90 Mn |
| Dec 31, 2016 | 2.40 Mn |
| Sep 30, 2016 | 3.20 Mn |
| Jun 30, 2016 | 2.10 Mn |
| Mar 31, 2016 | 4.10 Mn |
| Dec 31, 2015 | 3.70 Mn |
| Sep 30, 2015 | 9.20 Mn |
| Jun 30, 2015 | 14.70 Mn |
| Mar 31, 2015 | 11.90 Mn |
| Dec 31, 2014 | 15.80 Mn |
| Sep 30, 2014 | 609.80 Mn |
| Jun 30, 2014 | 17.50 Mn |
| Mar 31, 2014 | 7.20 Mn |
| Dec 31, 2013 | 9.50 Mn |
| Sep 30, 2013 | 5.20 Mn |
| Jun 30, 2013 | 11.10 Mn |
| Mar 31, 2013 | 6.30 Mn |
| Dec 31, 2012 | 16.90 Mn |
| Sep 30, 2012 | 8.80 Mn |
API Access
Coty Short-Term Debt issuances 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=short-term-debt-issuances&ticker=COTY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "short-term-debt-issuances", "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=short-term-debt-issuances&ticker=COTY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();