Olaplex Holdings (OLPX) Operating Expenses (2020 - 2026)
Olaplex Holdings (OLPX) reported Operating Expenses of $76.77 million for Q1 2026, up 30.4% from $58.88 million a year earlier and up 1.1% from the prior quarter.
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Analysis
Olaplex Holdings (OLPX) Operating Expenses (2020 - 2026) Analysis & Trends
Over the twelve months ended Mar 31, 2026, Olaplex Holdings' Operating Expenses came in at $304.59 million, up 31.0% year-over-year; for FY2025, it was $286.7 million, up 27.2% from FY2024.
- Operating Expenses has increased for five consecutive years, with a five-year compound annual growth rate of 25.1% (FY2020 to FY2025).
- By year, Operating Expenses came in at $225.35 million in FY2024 (+7.1%), $210.41 million in FY2023 (+35.6%), $155.16 million in FY2022 (+11.1%) and $139.67 million in FY2021 (+49.4%).
- Five-year quarterly Operating Expenses spans a low of $32.58 million in Q1 2022 and a high of $76.84 million in Q2 2025.
- Year over year, Operating Expenses has now increased in each of the last seven quarters, with growth averaging 19.6% over the last eight quarters.
- The high point for year-over-year Operating Expenses in five years was Q2 2021 (growth of 122.0%); the low point was Q2 2022 (a decline of 17.2%).
- Per Business Quant data, the three quarters before Q1 2026 came in at $75.96 million (Q4 2025), $75.02 million (Q3 2025) and $76.84 million (Q2 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Procter & Gamble | 344.85 Bn | 300.84 Bn | 10.28 Bn | 6.33 Bn |
| 2 | Colgate Palmolive | 68.93 Bn | 63.99 Bn | 3.30 Bn | 2.13 Bn |
| 3 | Kenvue | 34.39 Bn | 30.01 Bn | 2.30 Bn | 1.60 Bn |
| 4 | Estee Lauder Companies | 34.18 Bn | 22.26 Bn | 2.74 Bn | 2.78 Bn |
| 5 | Kimberly Clark | 32.92 Bn | 30.25 Bn | 1.60 Bn | - |
| 6 | Church & Dwight | 22.52 Bn | 21.05 Bn | 693.90 Mn | 252.20 Mn |
| 7 | Clorox | 9.87 Bn | 8.31 Bn | 804.00 Mn | 330.00 Mn |
| 8 | e.l.f. Beauty | 5.99 Bn | 4.97 Bn | 398.84 Mn | 280.32 Mn |
| 9 | Reynolds Consumer Products | 4.65 Bn | 4.32 Bn | 245.00 Mn | 107.00 Mn |
| 10 | Olaplex Holdings | 1.39 Bn | 169.83 Mn | 71.66 Mn | 76.77 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 76.77 Mn |
| Dec 31, 2025 | 75.96 Mn |
| Sep 30, 2025 | 75.02 Mn |
| Jun 30, 2025 | 76.84 Mn |
| Mar 31, 2025 | 58.88 Mn |
| Dec 31, 2024 | 63.73 Mn |
| Sep 30, 2024 | 53.74 Mn |
| Jun 30, 2024 | 56.16 Mn |
| Mar 31, 2024 | 51.73 Mn |
| Dec 31, 2023 | 59.62 Mn |
| Sep 30, 2023 | 46.81 Mn |
| Jun 30, 2023 | 58.74 Mn |
| Mar 31, 2023 | 45.25 Mn |
| Dec 31, 2022 | 45.04 Mn |
| Sep 30, 2022 | 41.14 Mn |
| Jun 30, 2022 | 36.41 Mn |
| Mar 31, 2022 | 32.58 Mn |
| Dec 31, 2021 | 33.80 Mn |
| Sep 30, 2021 | 40.44 Mn |
| Jun 30, 2021 | 43.97 Mn |
API Access
Olaplex Holdings Operating Expenses 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=operating-expenses&ticker=OLPX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=OLPX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();