Olaplex Holdings (OLPX) Cash & Equivalents (2020 - 2026)
Olaplex Holdings (OLPX) posted Cash & Equivalents of $326.17 million for Q1 2026, down 43.9% from $580.89 million a year earlier but up 2.3% from the prior quarter.
Olaplex Holdings (OLPX) Cash & Equivalents (2020 - 2026) Analysis & Trends
At the end of FY2025, Olaplex Holdings' Cash & Equivalents came in at $318.73 million, down 45.6% from FY2024.
- Annual Cash & Equivalents shows a five-year compound annual growth rate of 96.2% (FY2020 to FY2025).
- In prior years, Olaplex Holdings' Cash & Equivalents was $586 million in FY2024 (+25.6%), $466.4 million in FY2023 (+44.5%), $322.81 million in FY2022 (+73.2%) and $186.39 million in FY2021.
- Quarterly Cash & Equivalents has run from a low of $121.48 million in Q3 2021 to a high of $586 million in Q4 2024 over five years.
- On a year-over-year basis, Cash & Equivalents has declined in each of the last four quarters, with an average decline of 9.9% over the last eight quarters.
- The strongest year-over-year quarter for Cash & Equivalents in the past five years was Q1 2023, with growth of 157.7%; the weakest was Q3 2025, with a decline of 46.9%.
- According to Business Quant data, Cash & Equivalents for the three prior quarters was $318.73 million (Q4 2025), $286.38 million (Q3 2025) and $289.34 million (Q2 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Procter & Gamble | 336.76 Bn | 292.75 Bn | 10.28 Bn | 9.94 Bn |
| 2 | Colgate Palmolive | 67.18 Bn | 62.24 Bn | 3.30 Bn | 1.37 Bn |
| 3 | Estee Lauder Companies | 33.32 Bn | 21.40 Bn | 2.74 Bn | 3.50 Bn |
| 4 | Kenvue | 33.09 Bn | 28.70 Bn | 2.30 Bn | 1.11 Bn |
| 5 | Kimberly Clark | 31.38 Bn | 28.71 Bn | 1.60 Bn | 956.00 Mn |
| 6 | Church & Dwight | 22.37 Bn | 20.90 Bn | 693.90 Mn | 254.80 Mn |
| 7 | Clorox | 9.72 Bn | 8.16 Bn | 804.00 Mn | 143.00 Mn |
| 8 | e.l.f. Beauty | 6.17 Bn | 5.15 Bn | 398.84 Mn | 344.24 Mn |
| 9 | Reynolds Consumer Products | 4.71 Bn | 4.37 Bn | 245.00 Mn | 66.00 Mn |
| 10 | Olaplex Holdings | 1.39 Bn | 169.83 Mn | 71.66 Mn | 326.17 Mn |
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 326.17 Mn |
| Dec 31, 2025 | 318.73 Mn |
| Sep 30, 2025 | 286.38 Mn |
| Jun 30, 2025 | 289.34 Mn |
| Mar 31, 2025 | 580.89 Mn |
| Dec 31, 2024 | 586.00 Mn |
| Sep 30, 2024 | 538.83 Mn |
| Jun 30, 2024 | 507.93 Mn |
| Mar 31, 2024 | 507.51 Mn |
| Dec 31, 2023 | 466.40 Mn |
| Sep 30, 2023 | 429.59 Mn |
| Jun 30, 2023 | 378.42 Mn |
| Mar 31, 2023 | 369.34 Mn |
| Dec 31, 2022 | 322.81 Mn |
| Sep 30, 2022 | 249.40 Mn |
| Jun 30, 2022 | 198.03 Mn |
| Mar 31, 2022 | 143.35 Mn |
| Dec 31, 2021 | 186.39 Mn |
| Sep 30, 2021 | 121.48 Mn |
| Dec 31, 2020 | 10.96 Mn |
Olaplex Holdings 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=OLPX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=OLPX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();