Coty (COTY) Operating Leases (2019 - 2026)
Coty's Operating Leases came in at $182.9 million for fiscal Q4 2026 (quarter ended Jun 30, 2026), down 17.5% from $221.8 million a year earlier and down 3.6% from the prior quarter.
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Analysis
Coty (COTY) Operating Leases (2019 - 2026) Analysis & Trends
Going back to fiscal Q1 2020, Coty's Operating Leases data covers 28 quarters.
- Operating Leases carries a five-year compound annual growth rate of -7.4% (FY2021 to FY2026).
- Going back by fiscal year, Operating Leases was $221.8 million in FY2025 (+1.4%), $218.7 million in FY2024 (-11.6%), $247.5 million in FY2023 (-12.3%) and $282.2 million in FY2022 (+4.8%).
- The fiscal Q4 2026 figure represents the lowest quarterly Operating Leases in data going back to fiscal Q1 2020.
- Year-over-year, Operating Leases increased in two of the last eight quarters, with an average decline of 8.3%.
- The fastest year-over-year change in Operating Leases over five years came in fiscal Q3 2022 (growth of 9.6%), and the weakest in fiscal Q2 2025 (a decline of 19.2%).
- Business Quant data shows COTY's Operating Leases at $189.8 million (Q3 2026), $209.6 million (Q2 2026) and $209 million (Q1 2026) in the three fiscal quarters before Q4 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Procter & Gamble | 346.43 Bn | 302.42 Bn | 10.28 Bn |
| 2 | Colgate Palmolive | 69.04 Bn | 64.10 Bn | 3.30 Bn |
| 3 | Estee Lauder Companies | 34.63 Bn | 22.70 Bn | 2.74 Bn |
| 4 | Kenvue | 34.35 Bn | 29.97 Bn | 2.30 Bn |
| 5 | Kimberly Clark | 32.85 Bn | 30.17 Bn | 1.60 Bn |
| 6 | Church & Dwight | 22.69 Bn | 21.21 Bn | 693.90 Mn |
| 7 | Clorox | 9.84 Bn | 8.28 Bn | 804.00 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 |
|---|---|
| Jun 30, 2026 | 182.90 Mn |
| Mar 31, 2026 | 189.80 Mn |
| Dec 31, 2025 | 209.60 Mn |
| Sep 30, 2025 | 209.00 Mn |
| Jun 30, 2025 | 221.80 Mn |
| Mar 31, 2025 | 224.80 Mn |
| Dec 31, 2024 | 203.30 Mn |
| Sep 30, 2024 | 223.90 Mn |
| Jun 30, 2024 | 218.70 Mn |
| Mar 31, 2024 | 232.60 Mn |
| Dec 31, 2023 | 251.60 Mn |
| Sep 30, 2023 | 244.30 Mn |
| Jun 30, 2023 | 247.50 Mn |
| Mar 31, 2023 | 254.40 Mn |
| Dec 31, 2022 | 265.20 Mn |
| Sep 30, 2022 | 265.00 Mn |
| Jun 30, 2022 | 282.20 Mn |
| Mar 31, 2022 | 307.30 Mn |
| Dec 31, 2021 | 252.30 Mn |
| Sep 30, 2021 | 257.80 Mn |
API Access
Coty Operating Leases 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=operating-leases&ticker=COTY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-leases", "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=operating-leases&ticker=COTY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();