Olaplex Holdings (OLPX) Total Debt (2020 - 2026)
Olaplex Holdings (OLPX) reported Total Debt of $352.48 million for Q1 2026, down 45.7% from $649.13 million a year earlier but up 0.1% from the prior quarter.
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Analysis
Olaplex Holdings (OLPX) Total Debt (2020 - 2026) Analysis & Trends
At the end of FY2025, Olaplex Holdings posted Total Debt of $352.29 million, down 45.8% from FY2024.
- Total Debt has declined for five consecutive years, with a five-year compound annual growth rate of -14.6% (FY2020 to FY2025).
- By year, Total Debt came in at $650.46 million in FY2024 (-0.8%), $655.77 million in FY2023 (-1.1%), $662.77 million in FY2022 (-12.6%) and $758.2 million in FY2021 (-2.2%).
- Five-year quarterly Total Debt spans a low of $351.9 million in Q2 2025 and a high of $762.48 million in Q3 2021.
- Year over year, Total Debt has now declined in each of the last 15 quarters, with an average decline of 23.4% over the last eight quarters.
- Across the past five years, year-over-year decline in Total Debt ran from 0.8% in Q1 2023 to 46.1% in Q2 2025.
- Per Business Quant data, the three quarters before Q1 2026 came in at $352.29 million (Q4 2025), $352.1 million (Q3 2025) and $351.9 million (Q2 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Debt (Qtr) |
|---|---|---|---|---|---|
| 1 | Procter & Gamble | 344.85 Bn | 300.84 Bn | 10.28 Bn | 34.14 Bn |
| 2 | Colgate Palmolive | 68.93 Bn | 63.99 Bn | 3.30 Bn | 7.86 Bn |
| 3 | Kenvue | 34.39 Bn | 30.01 Bn | 2.30 Bn | 8.48 Bn |
| 4 | Estee Lauder Companies | 34.18 Bn | 22.26 Bn | 2.74 Bn | 7.31 Bn |
| 5 | Kimberly Clark | 32.92 Bn | 30.25 Bn | 1.60 Bn | 6.52 Bn |
| 6 | Church & Dwight | 22.52 Bn | 21.05 Bn | 693.90 Mn | 2.26 Bn |
| 7 | Clorox | 9.87 Bn | 8.31 Bn | 804.00 Mn | 5.07 Bn |
| 8 | e.l.f. Beauty | 5.99 Bn | 4.97 Bn | 398.84 Mn | 832.00 Mn |
| 9 | Reynolds Consumer Products | 4.65 Bn | 4.32 Bn | 245.00 Mn | 1.53 Bn |
| 10 | Olaplex Holdings | 1.39 Bn | 169.83 Mn | 71.66 Mn | 352.48 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 352.48 Mn |
| Dec 31, 2025 | 352.29 Mn |
| Sep 30, 2025 | 352.10 Mn |
| Jun 30, 2025 | 351.90 Mn |
| Mar 31, 2025 | 649.13 Mn |
| Dec 31, 2024 | 650.46 Mn |
| Sep 30, 2024 | 651.79 Mn |
| Jun 30, 2024 | 653.12 Mn |
| Mar 31, 2024 | 654.45 Mn |
| Dec 31, 2023 | 655.77 Mn |
| Sep 30, 2023 | 657.10 Mn |
| Jun 30, 2023 | 658.43 Mn |
| Mar 31, 2023 | 659.76 Mn |
| Dec 31, 2022 | 662.77 Mn |
| Sep 30, 2022 | 662.41 Mn |
| Jun 30, 2022 | 663.74 Mn |
| Mar 31, 2022 | 665.07 Mn |
| Dec 31, 2021 | 758.20 Mn |
| Sep 30, 2021 | 762.48 Mn |
| Dec 31, 2020 | 775.48 Mn |
API Access
Olaplex Holdings Total Debt 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-debt&ticker=OLPX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-debt", "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-debt&ticker=OLPX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();