Olaplex Holdings (OLPX) EBITDA (2020 - 2026)
Olaplex Holdings (OLPX) posted EBITDA of $5.79 million for Q1 2026, down 70.2% from $19.46 million a year earlier and down 9.9% from the prior quarter.
Olaplex Holdings (OLPX) EBITDA (2020 - 2026) Analysis & Trends
For the trailing twelve months through Mar 31, 2026, EBITDA at Olaplex Holdings was $37.21 million, down 62.6% year-over-year; for FY2025, it came in at $50.88 million, down 54.2% from FY2024.
- Annual EBITDA has declined for three consecutive years, with a five-year compound annual growth rate of -16.6% (FY2020 to FY2025).
- In prior years, Olaplex Holdings' EBITDA was $111.09 million in FY2024 (-26.0%), $150.17 million in FY2023 (-63.0%), $406.04 million in FY2022 (+8.2%) and $375.11 million in FY2021 (+197.9%).
- The Q1 2026 figure stands as the lowest quarterly EBITDA in data going back to Q4 2020.
- On a year-over-year basis, EBITDA has declined in each of the last 14 quarters, with an average decline of 45.1% over the last eight quarters.
- The strongest year-over-year quarter for EBITDA in the past five years was Q4 2021, with growth of 79.9%; the weakest was Q2 2023, with a decline of 77.6%.
- According to Business Quant data, EBITDA for the three prior quarters was $6.43 million (Q4 2025), $15.18 million (Q3 2025) and $9.82 million (Q2 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Procter & Gamble | 344.85 Bn | 300.84 Bn | 10.28 Bn | 4.76 Bn |
| 2 | Colgate Palmolive | 68.93 Bn | 63.99 Bn | 3.30 Bn | 1.17 Bn |
| 3 | Kenvue | 34.39 Bn | 30.01 Bn | 2.30 Bn | 844.00 Mn |
| 4 | Estee Lauder Companies | 34.18 Bn | 22.26 Bn | 2.74 Bn | 159.00 Mn |
| 5 | Kimberly Clark | 32.92 Bn | 30.25 Bn | 1.60 Bn | 800.00 Mn |
| 6 | Church & Dwight | 22.52 Bn | 21.05 Bn | 693.90 Mn | 383.00 Mn |
| 7 | Clorox | 9.87 Bn | 8.31 Bn | 804.00 Mn | 552.00 Mn |
| 8 | e.l.f. Beauty | 5.99 Bn | 4.97 Bn | 398.84 Mn | 128.54 Mn |
| 9 | Reynolds Consumer Products | 4.65 Bn | 4.32 Bn | 245.00 Mn | 170.00 Mn |
| 10 | Olaplex Holdings | 1.39 Bn | 169.83 Mn | 71.66 Mn | 5.79 Mn |
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 5.79 Mn |
| Dec 31, 2025 | 6.43 Mn |
| Sep 30, 2025 | 15.18 Mn |
| Jun 30, 2025 | 9.82 Mn |
| Mar 31, 2025 | 19.46 Mn |
| Dec 31, 2024 | 14.00 Mn |
| Sep 30, 2024 | 38.89 Mn |
| Jun 30, 2024 | 27.15 Mn |
| Mar 31, 2024 | 31.06 Mn |
| Dec 31, 2023 | 27.74 Mn |
| Sep 30, 2023 | 47.23 Mn |
| Jun 30, 2023 | 29.20 Mn |
| Mar 31, 2023 | 46.00 Mn |
| Dec 31, 2022 | 57.58 Mn |
| Sep 30, 2022 | 99.10 Mn |
| Jun 30, 2022 | 130.40 Mn |
| Mar 31, 2022 | 118.97 Mn |
| Dec 31, 2021 | 108.73 Mn |
| Sep 30, 2021 | 97.31 Mn |
| Jun 30, 2021 | 86.75 Mn |
Olaplex Holdings EBITDA 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=ebitda&ticker=OLPX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=OLPX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();