Olaplex Holdings (OLPX) Total Liabilities (2020 - 2026)
Olaplex Holdings (OLPX) posted Total Liabilities of $582.21 million for Q1 2026, down 34.8% from $892.6 million a year earlier and down 5.8% from the prior quarter.
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Analysis
Olaplex Holdings (OLPX) Total Liabilities (2020 - 2026) Analysis & Trends
At the end of FY2025, Olaplex Holdings' Total Liabilities came in at $618.1 million, down 30.8% from FY2024.
- Annual Total Liabilities has declined for four consecutive years, with a five-year compound annual growth rate of -5.1% (FY2020 to FY2025).
- In prior years, Olaplex Holdings' Total Liabilities was $893.32 million in FY2024 (-0.2%), $895.37 million in FY2023 (-2.3%), $916.72 million in FY2022 (-11.5%) and $1.04 billion in FY2021 (+29.2%).
- The Q1 2026 figure stands as the lowest quarterly Total Liabilities in data going back to Q4 2020.
- On a year-over-year basis, Total Liabilities has declined in each of the last 15 quarters, with an average decline of 15.9% over the last eight quarters.
- The strongest year-over-year quarter for Total Liabilities in the past five years was Q4 2021, with growth of 29.2%; the weakest was Q1 2026, with a decline of 34.8%.
- According to Business Quant data, Total Liabilities for the three prior quarters was $618.1 million (Q4 2025), $625.47 million (Q3 2025) and $642.75 million (Q2 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Procter & Gamble | 344.85 Bn | 300.84 Bn | 10.28 Bn | 72.21 Bn |
| 2 | Colgate Palmolive | 68.93 Bn | 63.99 Bn | 3.30 Bn | 16.22 Bn |
| 3 | Kenvue | 34.39 Bn | 30.01 Bn | 2.30 Bn | 16.18 Bn |
| 4 | Estee Lauder Companies | 34.18 Bn | 22.26 Bn | 2.74 Bn | 15.96 Bn |
| 5 | Kimberly Clark | 32.92 Bn | 30.25 Bn | 1.60 Bn | 16.68 Bn |
| 6 | Church & Dwight | 22.52 Bn | 21.05 Bn | 693.90 Mn | 4.76 Bn |
| 7 | Clorox | 9.87 Bn | 8.31 Bn | 804.00 Mn | 7.54 Bn |
| 8 | e.l.f. Beauty | 5.99 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 | Olaplex Holdings | 1.39 Bn | 169.83 Mn | 71.66 Mn | 582.21 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 582.21 Mn |
| Dec 31, 2025 | 618.10 Mn |
| Sep 30, 2025 | 625.47 Mn |
| Jun 30, 2025 | 642.75 Mn |
| Mar 31, 2025 | 892.60 Mn |
| Dec 31, 2024 | 893.32 Mn |
| Sep 30, 2024 | 879.43 Mn |
| Jun 30, 2024 | 893.44 Mn |
| Mar 31, 2024 | 897.66 Mn |
| Dec 31, 2023 | 895.37 Mn |
| Sep 30, 2023 | 901.77 Mn |
| Jun 30, 2023 | 905.07 Mn |
| Mar 31, 2023 | 919.21 Mn |
| Dec 31, 2022 | 916.72 Mn |
| Sep 30, 2022 | 952.80 Mn |
| Jun 30, 2022 | 952.46 Mn |
| Mar 31, 2022 | 965.61 Mn |
| Dec 31, 2021 | 1.04 Bn |
| Sep 30, 2021 | 1.04 Bn |
| Dec 31, 2020 | 802.16 Mn |
API Access
Olaplex Holdings 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=OLPX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "ticker": "OLPX", "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=OLPX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();