Olaplex Holdings (OLPX) Retained Earnings (2021 - 2026)
Olaplex Holdings (OLPX) recorded Retained Earnings of $531.43 million in Q1 2026, down 2.7% from $546.43 million a year earlier and down 1.0% from the prior quarter.
Olaplex Holdings (OLPX) Retained Earnings (2021 - 2026) Analysis & Trends
At the end of FY2025, Olaplex Holdings reported Retained Earnings of $536.71 million, down 1.7% from FY2024.
- Annual Retained Earnings has a four-year compound annual growth rate of 24.9% (FY2021 to FY2025).
- Across earlier years, Retained Earnings came in at $545.97 million in FY2024 (+3.7%), $526.44 million in FY2023 (+13.2%), $464.86 million in FY2022 (+110.5%) and $220.78 million in FY2021.
- The Q1 2026 figure is the lowest quarterly Retained Earnings since Q4 2023.
- On a year-over-year basis, Retained Earnings has declined for four consecutive quarters, with growth averaging 2.3% over the last eight quarters.
- Peak year-over-year performance for Retained Earnings in the last five years was growth of 184.7% in Q3 2022, against a decline of 2.7% in Q1 2026 at the low end.
- Per Business Quant, the preceding three quarters came in at $536.71 million (Q4 2025), $549.82 million (Q3 2025) and $538.69 million (Q2 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Retained Earnings (Qtr) |
|---|---|---|---|---|---|
| 1 | Procter & Gamble | 344.85 Bn | 300.84 Bn | 10.28 Bn | 135.85 Bn |
| 2 | Colgate Palmolive | 68.93 Bn | 63.99 Bn | 3.30 Bn | 27.09 Bn |
| 3 | Kenvue | 34.39 Bn | 30.01 Bn | 2.30 Bn | -70.00 Mn |
| 4 | Estee Lauder Companies | 34.18 Bn | 22.26 Bn | 2.74 Bn | 11.34 Bn |
| 5 | Kimberly Clark | 32.92 Bn | 30.25 Bn | 1.60 Bn | 9.77 Bn |
| 6 | Church & Dwight | 22.52 Bn | 21.05 Bn | 693.90 Mn | 7.04 Bn |
| 7 | Clorox | 9.87 Bn | 8.31 Bn | 804.00 Mn | 386.00 Mn |
| 8 | e.l.f. Beauty | 5.99 Bn | 4.97 Bn | 398.84 Mn | -89.33 Mn |
| 9 | Reynolds Consumer Products | 4.65 Bn | 4.32 Bn | 245.00 Mn | 853.00 Mn |
| 10 | Olaplex Holdings | 1.39 Bn | 169.83 Mn | 71.66 Mn | 531.43 Mn |
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 531.43 Mn |
| Dec 31, 2025 | 536.71 Mn |
| Sep 30, 2025 | 549.82 Mn |
| Jun 30, 2025 | 538.69 Mn |
| Mar 31, 2025 | 546.43 Mn |
| Dec 31, 2024 | 545.97 Mn |
| Sep 30, 2024 | 554.77 Mn |
| Jun 30, 2024 | 539.97 Mn |
| Mar 31, 2024 | 534.19 Mn |
| Dec 31, 2023 | 526.44 Mn |
| Sep 30, 2023 | 512.34 Mn |
| Jun 30, 2023 | 491.98 Mn |
| Mar 31, 2023 | 485.82 Mn |
| Dec 31, 2022 | 464.86 Mn |
| Sep 30, 2022 | 431.22 Mn |
| Jun 30, 2022 | 370.46 Mn |
| Mar 31, 2022 | 282.75 Mn |
| Dec 31, 2021 | 220.78 Mn |
| Sep 30, 2021 | 151.47 Mn |
Olaplex Holdings Retained Earnings 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=retained-earnings&ticker=OLPX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "retained-earnings", "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=retained-earnings&ticker=OLPX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();