Coty (COTY) Long-Term Debt Issuances (2012 - 2026)
Coty (COTY) recorded Long-Term Debt Issuances of $683.2 million in fiscal Q4 2026 (quarter ended Jun 30, 2026), up 26.2% from $541.2 million a year earlier and up 44.0% from the prior quarter.
Coty (COTY) Long-Term Debt Issuances (2012 - 2026) Analysis & Trends
For FY2026 (ended Jun 30, 2026), Coty reported Long-Term Debt Issuances of $2.06 billion, down 17.5% from FY2025.
- Annual Long-Term Debt Issuances has a five-year compound annual growth rate of -5.7% (FY2021 to FY2026).
- Across earlier fiscal years, Long-Term Debt Issuances came in at $2.49 billion in FY2025 (+1.4%), $2.46 billion in FY2024 (+57.8%), $1.56 billion in FY2023 (+65.2%) and $943 million in FY2022 (-65.8%).
- The fiscal Q4 2026 figure is the highest quarterly Long-Term Debt Issuances since fiscal Q3 2025.
- On a year-over-year basis, Long-Term Debt Issuances rose in three of the last seven quarters, with growth averaging 0.2%.
- Peak year-over-year performance for Long-Term Debt Issuances in the last five years was growth of 481.9% in fiscal Q1 2024, against a decline of 75.1% in fiscal Q1 2025 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $474.4 million (Q3 2026), $362.5 million (Q2 2026) and $536.7 million (Q1 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | LT Debt Issuance (Qtr) |
|---|---|---|---|---|---|
| 1 | Procter & Gamble | 388.70 Bn | 344.46 Bn | 10.28 Bn | - |
| 2 | Colgate Palmolive | 77.47 Bn | 72.19 Bn | 3.30 Bn | - |
| 3 | Estee Lauder Companies | 38.96 Bn | 27.04 Bn | 2.74 Bn | - |
| 4 | Kenvue | 37.76 Bn | 33.37 Bn | 2.30 Bn | - |
| 5 | Kimberly Clark | 36.84 Bn | 34.04 Bn | 1.60 Bn | - |
| 6 | Church & Dwight | 25.67 Bn | 24.20 Bn | 693.90 Mn | - |
| 7 | Clorox | 10.67 Bn | 8.94 Bn | 804.00 Mn | - |
| 8 | e.l.f. Beauty | 6.70 Bn | 5.68 Bn | 398.84 Mn | - |
| 9 | Reynolds Consumer Products | 4.92 Bn | 4.58 Bn | 245.00 Mn | - |
| 10 | Coty | 2.80 Bn | 1.66 Bn | 772.70 Mn | 683.20 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 683.20 Mn |
| Mar 31, 2026 | 519.70 Mn |
| Dec 31, 2025 | 1.22 Bn |
| Sep 30, 2025 | 536.70 Mn |
| Jun 30, 2025 | 541.20 Mn |
| Mar 31, 2025 | 939.40 Mn |
| Dec 31, 2024 | 692.50 Mn |
| Sep 30, 2024 | 319.40 Mn |
| Jun 30, 2024 | 1.25 Bn |
| Mar 31, 2024 | 611.20 Mn |
| Dec 31, 2023 | 300.00 Mn |
| Sep 30, 2023 | 2.12 Bn |
| Jun 30, 2023 | 448.30 Mn |
| Mar 31, 2023 | 497.70 Mn |
| Dec 31, 2022 | 391.30 Mn |
| Sep 30, 2022 | 220.70 Mn |
| Jun 30, 2022 | 541.10 Mn |
| Dec 31, 2021 | 659.00 Mn |
| Sep 30, 2021 | 285.30 Mn |
| Jun 30, 2021 | 2.36 Bn |
Coty Long-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=long-term-debt-issuances&ticker=COTY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-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=long-term-debt-issuances&ticker=COTY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();