Coty (COTY) Long-Term Debt Repayments (2012 - 2026)
Coty (COTY) posted Long-Term Debt Repayments of $521.3 million for fiscal Q4 2026 (quarter ended Jun 30, 2026), down 6.9% from $559.9 million a year earlier but up 66.1% from the prior quarter.
Coty (COTY) Long-Term Debt Repayments (2012 - 2026) Analysis & Trends
For FY2026 (ended Jun 30, 2026), Coty's Long-Term Debt Repayments came in at $2.1 billion, down 1.2% from FY2025.
- Annual Long-Term Debt Repayments shows a five-year compound annual growth rate of -10.2% (FY2021 to FY2026).
- In prior fiscal years, Coty's Long-Term Debt Repayments was $2.12 billion in FY2025 (-20.6%), $2.67 billion in FY2024 (+67.1%), $1.6 billion in FY2023 (+19.5%) and $1.34 billion in FY2022 (-62.7%).
- Quarterly Long-Term Debt Repayments has run from a low of $208.9 million in fiscal Q1 2023 to a high of $969.7 million in fiscal Q4 2024 over five years.
- On a year-over-year basis, Long-Term Debt Repayments increased in four of the last eight quarters, with growth averaging 5.5%.
- The strongest year-over-year quarter for Long-Term Debt Repayments in the past five years was fiscal Q1 2024, with growth of 360.5%; the weakest was fiscal Q1 2025, with a decline of 66.5%.
- According to Business Quant data, Long-Term Debt Repayments for the three prior fiscal quarters was $313.9 million (Q3 2026), $786.3 million (Q2 2026) and $475.3 million (Q1 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | LT Debt Repayment (Qtr) |
|---|---|---|---|---|---|
| 1 | Procter & Gamble | 368.76 Bn | 324.52 Bn | 10.28 Bn | 1.03 Bn |
| 2 | Colgate Palmolive | 74.81 Bn | 69.54 Bn | 3.30 Bn | 4.00 Mn |
| 3 | Estee Lauder Companies | 37.91 Bn | 25.98 Bn | 2.74 Bn | - |
| 4 | Kenvue | 36.64 Bn | 32.26 Bn | 2.30 Bn | - |
| 5 | Kimberly Clark | 35.54 Bn | 32.73 Bn | 1.60 Bn | - |
| 6 | Church & Dwight | 24.86 Bn | 23.39 Bn | 693.90 Mn | - |
| 7 | Clorox | 10.38 Bn | 8.65 Bn | 804.00 Mn | - |
| 8 | e.l.f. Beauty | 6.79 Bn | 5.77 Bn | 398.84 Mn | 7.50 Mn |
| 9 | Reynolds Consumer Products | 4.80 Bn | 4.46 Bn | 245.00 Mn | - |
| 10 | Coty | 2.77 Bn | 1.63 Bn | 772.70 Mn | 816.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 816.00 Mn |
| Mar 31, 2026 | 313.90 Mn |
| Dec 31, 2025 | 2.25 Bn |
| Sep 30, 2025 | 475.30 Mn |
| Jun 30, 2025 | 559.90 Mn |
| Mar 31, 2025 | 618.90 Mn |
| Dec 31, 2024 | 1.11 Bn |
| Sep 30, 2024 | 322.60 Mn |
| Jun 30, 2024 | 1.29 Bn |
| Mar 31, 2024 | 357.10 Mn |
| Dec 31, 2023 | 811.90 Mn |
| Sep 30, 2023 | 2.15 Bn |
| Jun 30, 2023 | 502.10 Mn |
| Mar 31, 2023 | 329.40 Mn |
| Dec 31, 2022 | 780.20 Mn |
| Sep 30, 2022 | 214.50 Mn |
| Jun 30, 2022 | 836.30 Mn |
| Mar 31, 2022 | 43.90 Mn |
| Dec 31, 2021 | 955.40 Mn |
| Sep 30, 2021 | 371.50 Mn |
Coty Long-Term Debt Repayments 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-repayments&ticker=COTY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-debt-repayments", "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-repayments&ticker=COTY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();