Coty (COTY) Amortization - Intangibles (2017 - 2026)
Coty (COTY) reported Amortization - Intangibles of $74.1 million for fiscal Q4 2026 (quarter ended Jun 30, 2026), up 62.5% from $45.6 million a year earlier but down 0.5% from the prior quarter.
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Analysis
Coty (COTY) Amortization - Intangibles (2017 - 2026) Analysis & Trends
For FY2026 (ended Jun 30, 2026), Coty posted Amortization - Intangibles of $262 million, up 40.2% from FY2025.
- Amortization - Intangibles has a five-year compound annual growth rate of 0.8% (FY2021 to FY2026).
- By fiscal year, Amortization - Intangibles came in at $186.9 million in FY2025 (-3.4%), $193.4 million in FY2024 (+0.8%), $191.8 million in FY2023 (-7.5%) and $207.4 million in FY2022 (-17.4%).
- Five-year quarterly Amortization - Intangibles spans a low of $39.3 million in fiscal Q1 2026 and a high of $74.5 million in fiscal Q3 2026.
- Year over year, Amortization - Intangibles has now increased in each of the last three quarters, with growth averaging 18.7% over the last eight quarters.
- The high point for year-over-year Amortization - Intangibles in five years was fiscal Q4 2026 (growth of 62.5%); the low point was fiscal Q4 2022 (a decline of 21.0%).
- Per Business Quant data, the three fiscal quarters before Q4 2026 came in at $74.5 million (Q3 2026), $74.1 million (Q2 2026) and $39.3 million (Q1 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Procter & Gamble | 337.81 Bn | 293.80 Bn | 10.28 Bn |
| 2 | Colgate Palmolive | 68.01 Bn | 63.06 Bn | 3.30 Bn |
| 3 | Kenvue | 33.93 Bn | 29.54 Bn | 2.30 Bn |
| 4 | Estee Lauder Companies | 33.63 Bn | 21.70 Bn | 2.74 Bn |
| 5 | Kimberly Clark | 32.41 Bn | 29.73 Bn | 1.60 Bn |
| 6 | Church & Dwight | 22.35 Bn | 20.88 Bn | 693.90 Mn |
| 7 | Clorox | 9.80 Bn | 8.24 Bn | 804.00 Mn |
| 8 | e.l.f. Beauty | 5.95 Bn | 4.92 Bn | 398.84 Mn |
| 9 | Reynolds Consumer Products | 4.56 Bn | 4.22 Bn | 245.00 Mn |
| 10 | Coty | 2.29 Bn | 1.33 Bn | 772.70 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 74.10 Mn |
| Mar 31, 2026 | 74.50 Mn |
| Dec 31, 2025 | 74.10 Mn |
| Sep 30, 2025 | 39.30 Mn |
| Jun 30, 2025 | 45.60 Mn |
| Mar 31, 2025 | 45.90 Mn |
| Dec 31, 2024 | 47.30 Mn |
| Sep 30, 2024 | 48.10 Mn |
| Jun 30, 2024 | 48.00 Mn |
| Mar 31, 2024 | 48.50 Mn |
| Dec 31, 2023 | 48.30 Mn |
| Sep 30, 2023 | 48.60 Mn |
| Jun 30, 2023 | 48.70 Mn |
| Mar 31, 2023 | 48.20 Mn |
| Dec 31, 2022 | 47.60 Mn |
| Sep 30, 2022 | 47.30 Mn |
| Jun 30, 2022 | 48.80 Mn |
| Mar 31, 2022 | 50.20 Mn |
| Dec 31, 2021 | 51.40 Mn |
| Sep 30, 2021 | 57.00 Mn |
API Access
Coty Amortization - Intangibles 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=amortization-intangibles&ticker=COTY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "amortization-intangibles", "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=amortization-intangibles&ticker=COTY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();