Coty (COTY) Cash & Equivalents (2012 - 2026)
Coty's Cash & Equivalents came in at $176.1 million for fiscal Q4 2026 (quarter ended Jun 30, 2026), down 31.5% from $257.1 million a year earlier and down 31.5% from the prior quarter.
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Analysis
Coty (COTY) Cash & Equivalents (2012 - 2026) Analysis & Trends
Going back to fiscal Q1 2013, Coty's Cash & Equivalents data covers 56 quarters.
- Cash & Equivalents carries a five-year compound annual growth rate of -7.0% (FY2021 to FY2026).
- Going back by fiscal year, Cash & Equivalents was $257.1 million in FY2025 (-14.5%), $300.8 million in FY2024 (+21.8%), $246.9 million in FY2023 (+5.8%) and $233.3 million in FY2022 (-8.0%).
- The fiscal Q4 2026 figure represents the lowest quarterly Cash & Equivalents in data going back to fiscal Q1 2013.
- Year-over-year, Cash & Equivalents increased in three of the last eight quarters, with an average decline of 2.7%.
- The fastest year-over-year change in Cash & Equivalents over five years came in fiscal Q3 2022 (growth of 112.1%), and the weakest in fiscal Q3 2023 (a decline of 63.4%).
- Business Quant data shows COTY's Cash & Equivalents at $257.1 million (Q3 2026), $436.7 million (Q2 2026) and $264.6 million (Q1 2026) in the three fiscal quarters before Q4 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Procter & Gamble | 337.81 Bn | 293.80 Bn | 10.28 Bn | 9.94 Bn |
| 2 | Colgate Palmolive | 68.01 Bn | 63.06 Bn | 3.30 Bn | 1.37 Bn |
| 3 | Kenvue | 33.93 Bn | 29.54 Bn | 2.30 Bn | 1.11 Bn |
| 4 | Estee Lauder Companies | 33.63 Bn | 21.70 Bn | 2.74 Bn | 3.50 Bn |
| 5 | Kimberly Clark | 32.41 Bn | 29.73 Bn | 1.60 Bn | 956.00 Mn |
| 6 | Church & Dwight | 22.35 Bn | 20.88 Bn | 693.90 Mn | 254.80 Mn |
| 7 | Clorox | 9.80 Bn | 8.24 Bn | 804.00 Mn | 143.00 Mn |
| 8 | e.l.f. Beauty | 5.95 Bn | 4.92 Bn | 398.84 Mn | 344.24 Mn |
| 9 | Reynolds Consumer Products | 4.56 Bn | 4.22 Bn | 245.00 Mn | 66.00 Mn |
| 10 | Coty | 2.29 Bn | 1.33 Bn | 772.70 Mn | 176.10 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 176.10 Mn |
| Mar 31, 2026 | 257.10 Mn |
| Dec 31, 2025 | 436.70 Mn |
| Sep 30, 2025 | 264.60 Mn |
| Jun 30, 2025 | 257.10 Mn |
| Mar 31, 2025 | 243.50 Mn |
| Dec 31, 2024 | 249.60 Mn |
| Sep 30, 2024 | 283.60 Mn |
| Jun 30, 2024 | 300.80 Mn |
| Mar 31, 2024 | 260.20 Mn |
| Dec 31, 2023 | 450.00 Mn |
| Sep 30, 2023 | 280.00 Mn |
| Jun 30, 2023 | 246.90 Mn |
| Mar 31, 2023 | 245.00 Mn |
| Dec 31, 2022 | 280.80 Mn |
| Sep 30, 2022 | 215.70 Mn |
| Jun 30, 2022 | 233.30 Mn |
| Mar 31, 2022 | 668.60 Mn |
| Dec 31, 2021 | 523.40 Mn |
| Sep 30, 2021 | 376.90 Mn |
API Access
Coty Cash & Equivalents 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-and-equivalents&ticker=COTY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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-and-equivalents&ticker=COTY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();