Olaplex Holdings (OLPX) Shares Outstanding (2020 - 2026)
Olaplex Holdings (OLPX) reported Shares Outstanding of 669.94 million for Q1 2026, up 0.8% from 664.69 million a year earlier and up 0.5% from the prior quarter.
Olaplex Holdings (OLPX) Shares Outstanding (2020 - 2026) Analysis & Trends
For FY2025, Olaplex Holdings posted Shares Outstanding of 666.46 million, up 0.7% from FY2024.
- Shares Outstanding has increased for five consecutive years, with a five-year compound annual growth rate of 1.0% (FY2020 to FY2025).
- By year, Shares Outstanding came in at 661.98 million in FY2024 (+1.1%), 654.59 million in FY2023 (+0.8%), 649.09 million in FY2022 (+0.1%) and 648.17 million in FY2021 (+2.0%).
- The Q1 2026 figure ranks as the highest quarterly Shares Outstanding in data going back to Q1 2020.
- Year over year, Shares Outstanding has now increased in each of the last 18 quarters, with growth averaging 0.9% over the last eight quarters.
- Across the past five years, year-over-year growth in Shares Outstanding ran from 0.0% in Q3 2021 to 2.0% in Q4 2021.
- Per Business Quant data, the three quarters before Q1 2026 came in at 666.46 million (Q4 2025), 667.07 million (Q3 2025) and 665.95 million (Q2 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Qtr) |
|---|---|---|---|---|---|
| 1 | Procter & Gamble | 337.81 Bn | 293.80 Bn | 10.28 Bn | 2.33 Bn |
| 2 | Colgate Palmolive | 68.01 Bn | 63.06 Bn | 3.30 Bn | 799.40 Mn |
| 3 | Kenvue | 33.93 Bn | 29.54 Bn | 2.30 Bn | 1.92 Bn |
| 4 | Estee Lauder Companies | 33.63 Bn | 21.70 Bn | 2.74 Bn | 362.30 Mn |
| 5 | Kimberly Clark | 32.41 Bn | 29.73 Bn | 1.60 Bn | 332.40 Mn |
| 6 | Church & Dwight | 22.35 Bn | 20.88 Bn | 693.90 Mn | 236.70 Mn |
| 7 | Clorox | 9.80 Bn | 8.24 Bn | 804.00 Mn | 121.78 Mn |
| 8 | e.l.f. Beauty | 5.95 Bn | 4.92 Bn | 398.84 Mn | 59.14 Mn |
| 9 | Reynolds Consumer Products | 4.56 Bn | 4.22 Bn | 245.00 Mn | 210.60 Mn |
| 10 | Olaplex Holdings | 1.39 Bn | 169.83 Mn | 71.66 Mn | 669.94 Mn |
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 669.94 Mn |
| Dec 31, 2025 | 666.46 Mn |
| Sep 30, 2025 | 667.07 Mn |
| Jun 30, 2025 | 665.95 Mn |
| Mar 31, 2025 | 664.69 Mn |
| Dec 31, 2024 | 661.98 Mn |
| Sep 30, 2024 | 662.25 Mn |
| Jun 30, 2024 | 661.73 Mn |
| Mar 31, 2024 | 660.82 Mn |
| Dec 31, 2023 | 654.59 Mn |
| Sep 30, 2023 | 654.70 Mn |
| Jun 30, 2023 | 654.35 Mn |
| Mar 31, 2023 | 651.73 Mn |
| Dec 31, 2022 | 649.09 Mn |
| Sep 30, 2022 | 649.10 Mn |
| Jun 30, 2022 | 648.97 Mn |
| Mar 31, 2022 | 648.81 Mn |
| Dec 31, 2021 | 648.17 Mn |
| Sep 30, 2021 | 648.12 Mn |
| Jun 30, 2021 | 648.12 Mn |
Olaplex Holdings Shares Outstanding 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=shares-outstanding&ticker=OLPX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding", "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=shares-outstanding&ticker=OLPX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();