Coty (COTY) Total Liabilities (2013 - 2026)
Coty (COTY) recorded Total Liabilities of $7.04 billion in fiscal Q4 2026 (quarter ended Jun 30, 2026), down 14.0% from $8.19 billion a year earlier but up 1.2% from the prior quarter.
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Analysis
Coty (COTY) Total Liabilities (2013 - 2026) Analysis & Trends
Starting with fiscal Q4 2013, Coty's Total Liabilities history includes 53 quarters.
- Annual Total Liabilities has a five-year compound annual growth rate of -7.9% (FY2021 to FY2026).
- Across earlier fiscal years, Total Liabilities came in at $8.19 billion in FY2025 (+1.5%), $8.07 billion in FY2024 (-6.8%), $8.66 billion in FY2023 (-1.2%) and $8.77 billion in FY2022 (-17.5%).
- Quarterly Total Liabilities has ranged from $6.96 billion in fiscal Q3 2026 to $10.59 billion in fiscal Q1 2022 over the past five years.
- On a year-over-year basis, Total Liabilities has declined for four consecutive quarters, with an average decline of 5.7% over the last eight quarters.
- Peak year-over-year performance for Total Liabilities in the last five years was growth of 1.5% in fiscal Q4 2025, against a decline of 26.2% in fiscal Q1 2022 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $6.96 billion (Q3 2026), $7.37 billion (Q2 2026) and $8.24 billion (Q1 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Procter & Gamble | 346.43 Bn | 302.42 Bn | 10.28 Bn | 72.21 Bn |
| 2 | Colgate Palmolive | 69.04 Bn | 64.10 Bn | 3.30 Bn | 16.22 Bn |
| 3 | Estee Lauder Companies | 34.63 Bn | 22.70 Bn | 2.74 Bn | 15.96 Bn |
| 4 | Kenvue | 34.35 Bn | 29.97 Bn | 2.30 Bn | 16.18 Bn |
| 5 | Kimberly Clark | 32.85 Bn | 30.17 Bn | 1.60 Bn | 16.68 Bn |
| 6 | Church & Dwight | 22.69 Bn | 21.21 Bn | 693.90 Mn | 4.76 Bn |
| 7 | Clorox | 9.84 Bn | 8.28 Bn | 804.00 Mn | 7.54 Bn |
| 8 | e.l.f. Beauty | 6.00 Bn | 4.97 Bn | 398.84 Mn | 1.29 Bn |
| 9 | Reynolds Consumer Products | 4.65 Bn | 4.32 Bn | 245.00 Mn | 2.77 Bn |
| 10 | Coty | 2.36 Bn | 1.40 Bn | 772.70 Mn | 7.04 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 7.04 Bn |
| Mar 31, 2026 | 6.96 Bn |
| Dec 31, 2025 | 7.37 Bn |
| Sep 30, 2025 | 8.24 Bn |
| Jun 30, 2025 | 8.19 Bn |
| Mar 31, 2025 | 7.80 Bn |
| Dec 31, 2024 | 7.76 Bn |
| Sep 30, 2024 | 8.28 Bn |
| Jun 30, 2024 | 8.07 Bn |
| Mar 31, 2024 | 8.14 Bn |
| Dec 31, 2023 | 8.40 Bn |
| Sep 30, 2023 | 8.71 Bn |
| Jun 30, 2023 | 8.66 Bn |
| Mar 31, 2023 | 8.78 Bn |
| Dec 31, 2022 | 8.73 Bn |
| Sep 30, 2022 | 8.70 Bn |
| Jun 30, 2022 | 8.77 Bn |
| Mar 31, 2022 | 9.48 Bn |
| Dec 31, 2021 | 9.77 Bn |
| Sep 30, 2021 | 10.59 Bn |
API Access
Coty Total Liabilities 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=total-liabilities&ticker=COTY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=COTY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();