Olaplex Holdings (OLPX) Revenue (2020 - 2026)
Olaplex Holdings (OLPX) reported Revenue of $99.37 million for Q1 2026, up 2.5% from $96.98 million a year earlier but down 5.5% from the prior quarter.
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Analysis
Olaplex Holdings (OLPX) Revenue (2020 - 2026) Analysis & Trends
Over the twelve months ended Mar 31, 2026, Olaplex Holdings' Revenue came in at $425.35 million, up 1.1% year-over-year; for FY2025, it was $422.96 million, up 0.1% from FY2024.
- Revenue has a five-year compound annual growth rate of 8.4% (FY2020 to FY2025).
- By year, Revenue came in at $422.67 million in FY2024 (-7.8%), $458.3 million in FY2023 (-34.9%), $704.27 million in FY2022 (+17.7%) and $598.37 million in FY2021 (+112.0%).
- Five-year quarterly Revenue spans a low of $96.98 million in Q1 2025 and a high of $210.9 million in Q2 2022.
- Year over year, Revenue gained in three of the last eight quarters, with an average decline of 1.9%.
- The high point for year-over-year Revenue in five years was Q2 2021 (growth of 175.3%); the low point was Q2 2023 (a decline of 48.2%).
- Per Business Quant data, the three quarters before Q1 2026 came in at $105.12 million (Q4 2025), $114.58 million (Q3 2025) and $106.28 million (Q2 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Revenue (Qtr) |
|---|---|---|---|---|---|
| 1 | Procter & Gamble | 344.85 Bn | 300.84 Bn | 10.28 Bn | 21.20 Bn |
| 2 | Colgate Palmolive | 68.93 Bn | 63.99 Bn | 3.30 Bn | 5.36 Bn |
| 3 | Kenvue | 34.39 Bn | 30.01 Bn | 2.30 Bn | 3.96 Bn |
| 4 | Estee Lauder Companies | 34.18 Bn | 22.26 Bn | 2.74 Bn | 3.63 Bn |
| 5 | Kimberly Clark | 32.92 Bn | 30.25 Bn | 1.60 Bn | 4.19 Bn |
| 6 | Church & Dwight | 22.52 Bn | 21.05 Bn | 693.90 Mn | 1.53 Bn |
| 7 | Clorox | 9.87 Bn | 8.31 Bn | 804.00 Mn | 1.95 Bn |
| 8 | e.l.f. Beauty | 5.99 Bn | 4.97 Bn | 398.84 Mn | 479.37 Mn |
| 9 | Reynolds Consumer Products | 4.65 Bn | 4.32 Bn | 245.00 Mn | 944.00 Mn |
| 10 | Olaplex Holdings | 1.39 Bn | 169.83 Mn | 71.66 Mn | 99.37 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 99.37 Mn |
| Dec 31, 2025 | 105.12 Mn |
| Sep 30, 2025 | 114.58 Mn |
| Jun 30, 2025 | 106.28 Mn |
| Mar 31, 2025 | 96.98 Mn |
| Dec 31, 2024 | 100.74 Mn |
| Sep 30, 2024 | 119.08 Mn |
| Jun 30, 2024 | 103.94 Mn |
| Mar 31, 2024 | 98.91 Mn |
| Dec 31, 2023 | 111.72 Mn |
| Sep 30, 2023 | 123.56 Mn |
| Jun 30, 2023 | 109.24 Mn |
| Mar 31, 2023 | 113.79 Mn |
| Dec 31, 2022 | 130.72 Mn |
| Sep 30, 2022 | 176.45 Mn |
| Jun 30, 2022 | 210.90 Mn |
| Mar 31, 2022 | 186.20 Mn |
| Dec 31, 2021 | 166.50 Mn |
| Sep 30, 2021 | 161.62 Mn |
| Jun 30, 2021 | 152.12 Mn |
API Access
Olaplex Holdings Revenue 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=revenue&ticker=OLPX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "revenue", "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=revenue&ticker=OLPX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();