Coty (COTY) Selling, General & Administrative (2012 - 2026)
Coty (COTY) reported Selling, General & Administrative of $744.9 million for fiscal Q4 2026 (quarter ended Jun 30, 2026), up 3.4% from $720.6 million a year earlier and up 2.5% from the prior quarter.
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Analysis
Coty (COTY) Selling, General & Administrative (2012 - 2026) Analysis & Trends
For FY2026 (ended Jun 30, 2026), Coty posted Selling, General & Administrative of $3.11 billion, up 0.1% from FY2025.
- Selling, General & Administrative has a five-year compound annual growth rate of 5.6% (FY2021 to FY2026).
- By fiscal year, Selling, General & Administrative came in at $3.1 billion in FY2025 (-1.9%), $3.16 billion in FY2024 (+12.2%), $2.82 billion in FY2023 (-2.2%) and $2.88 billion in FY2022 (+21.9%).
- Five-year quarterly Selling, General & Administrative spans a low of $659.3 million in fiscal Q3 2022 and a high of $842.5 million in fiscal Q2 2026.
- Year over year, Selling, General & Administrative gained in four of the last eight quarters, with an average decline of 0.8%.
- The high point for year-over-year Selling, General & Administrative in five years was fiscal Q1 2022 (growth of 33.1%); the low point was fiscal Q1 2023 (a decline of 13.6%).
- Per Business Quant data, the three fiscal quarters before Q4 2026 came in at $727 million (Q3 2026), $842.5 million (Q2 2026) and $793.5 million (Q1 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Procter & Gamble | 337.81 Bn | 293.80 Bn | 10.28 Bn | 6.33 Bn |
| 2 | Colgate Palmolive | 68.01 Bn | 63.06 Bn | 3.30 Bn | 2.13 Bn |
| 3 | Kenvue | 33.93 Bn | 29.54 Bn | 2.30 Bn | 1.54 Bn |
| 4 | Estee Lauder Companies | 33.63 Bn | 21.70 Bn | 2.74 Bn | 2.48 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 | 252.20 Mn |
| 7 | Clorox | 9.80 Bn | 8.24 Bn | 804.00 Mn | 298.00 Mn |
| 8 | e.l.f. Beauty | 5.95 Bn | 4.92 Bn | 398.84 Mn | 280.32 Mn |
| 9 | Reynolds Consumer Products | 4.56 Bn | 4.22 Bn | 245.00 Mn | 107.00 Mn |
| 10 | Coty | 2.29 Bn | 1.33 Bn | 772.70 Mn | 744.90 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 744.90 Mn |
| Mar 31, 2026 | 727.00 Mn |
| Dec 31, 2025 | 842.50 Mn |
| Sep 30, 2025 | 793.50 Mn |
| Jun 30, 2025 | 720.60 Mn |
| Mar 31, 2025 | 777.50 Mn |
| Dec 31, 2024 | 797.30 Mn |
| Sep 30, 2024 | 808.00 Mn |
| Jun 30, 2024 | 791.00 Mn |
| Mar 31, 2024 | 770.60 Mn |
| Dec 31, 2023 | 833.40 Mn |
| Sep 30, 2023 | 767.40 Mn |
| Jun 30, 2023 | 672.90 Mn |
| Mar 31, 2023 | 720.40 Mn |
| Dec 31, 2022 | 754.30 Mn |
| Sep 30, 2022 | 670.70 Mn |
| Jun 30, 2022 | 726.80 Mn |
| Mar 31, 2022 | 659.30 Mn |
| Dec 31, 2021 | 718.90 Mn |
| Sep 30, 2021 | 776.30 Mn |
API Access
Coty Selling, General & Administrative 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=selling-general-and-administrative&ticker=COTY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "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=selling-general-and-administrative&ticker=COTY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();