Coty (COTY) Cash from Operations (2012 - 2026)
Coty (COTY) reported Cash from Operations of $116 million for fiscal Q4 2026 (quarter ended Jun 30, 2026), up 39.4% from $83.2 million a year earlier.
Coty (COTY) Cash from Operations (2012 - 2026) Analysis & Trends
For FY2026 (ended Jun 30, 2026), Coty posted Cash from Operations of $537.8 million, up 9.2% from FY2025.
- Cash from Operations has a five-year compound annual growth rate of 11.0% (FY2021 to FY2026).
- By fiscal year, Cash from Operations came in at $492.6 million in FY2025 (-19.9%), $614.6 million in FY2024 (-1.8%), $625.7 million in FY2023 (-13.9%) and $726.6 million in FY2022 (+128.0%).
- Five-year quarterly Cash from Operations spans a low of -$203.1 million in fiscal Q3 2026 and a high of $559.7 million in fiscal Q2 2026.
- Year over year, Cash from Operations gained in three of the last six quarters, with an average decline of 8.3%.
- The high point for year-over-year Cash from Operations in five years was fiscal Q1 2022 (growth of 570.7%); the low point was fiscal Q1 2025 (a decline of 63.8%).
- Per Business Quant data, the three fiscal quarters before Q4 2026 came in at -$203.1 million (Q3 2026), $559.7 million (Q2 2026) and $65.2 million (Q1 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash from Ops. (Qtr) |
|---|---|---|---|---|---|
| 1 | Procter & Gamble | 346.43 Bn | 302.42 Bn | 10.28 Bn | 5.13 Bn |
| 2 | Colgate Palmolive | 69.04 Bn | 64.10 Bn | 3.30 Bn | 995.00 Mn |
| 3 | Estee Lauder Companies | 34.63 Bn | 22.70 Bn | 2.74 Bn | 576.00 Mn |
| 4 | Kenvue | 34.35 Bn | 29.97 Bn | 2.30 Bn | 688.00 Mn |
| 5 | Kimberly Clark | 32.85 Bn | 30.17 Bn | 1.60 Bn | 908.00 Mn |
| 6 | Church & Dwight | 22.69 Bn | 21.21 Bn | 693.90 Mn | 286.80 Mn |
| 7 | Clorox | 9.84 Bn | 8.28 Bn | 804.00 Mn | 330.00 Mn |
| 8 | e.l.f. Beauty | 6.00 Bn | 4.97 Bn | 398.84 Mn | 111.67 Mn |
| 9 | Reynolds Consumer Products | 4.65 Bn | 4.32 Bn | 245.00 Mn | 102.00 Mn |
| 10 | Coty | 2.36 Bn | 1.40 Bn | 772.70 Mn | 116.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 116.00 Mn |
| Mar 31, 2026 | -203.10 Mn |
| Dec 31, 2025 | 559.70 Mn |
| Sep 30, 2025 | 65.20 Mn |
| Jun 30, 2025 | 83.20 Mn |
| Mar 31, 2025 | -122.50 Mn |
| Dec 31, 2024 | 464.50 Mn |
| Sep 30, 2024 | 67.40 Mn |
| Jun 30, 2024 | 176.50 Mn |
| Mar 31, 2024 | -170.00 Mn |
| Dec 31, 2023 | 421.90 Mn |
| Sep 30, 2023 | 186.20 Mn |
| Jun 30, 2023 | 104.90 Mn |
| Mar 31, 2023 | -124.60 Mn |
| Dec 31, 2022 | 482.20 Mn |
| Sep 30, 2022 | 163.20 Mn |
| Jun 30, 2022 | -32.90 Mn |
| Mar 31, 2022 | 24.80 Mn |
| Dec 31, 2021 | 449.00 Mn |
| Sep 30, 2021 | 285.70 Mn |
Coty Cash from Operations 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=cash-from-operations&ticker=COTY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-from-operations", "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=cash-from-operations&ticker=COTY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();