Olaplex Holdings (OLPX) Accumulated Expenses (2020 - 2026)
Olaplex Holdings' Accumulated Expenses was $32.76 million in Q1 2026, up 44.8% from $22.63 million a year earlier but down 61.6% from the prior quarter.
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Analysis
Olaplex Holdings (OLPX) Accumulated Expenses (2020 - 2026) Analysis & Trends
At the end of FY2025, Accumulated Expenses at Olaplex Holdings came in at $85.3 million, up 139.4% from FY2024.
- Accumulated Expenses has now increased for three consecutive years, with a five-year compound annual growth rate of 54.0% (FY2020 to FY2025).
- In earlier years, Accumulated Expenses was $35.64 million in FY2024 (+20.2%), $29.64 million in FY2023 (+73.3%), $17.11 million in FY2022 (-1.3%) and $17.33 million in FY2021 (+75.7%).
- Quarterly Accumulated Expenses has moved between $11.36 million (Q1 2022) and $85.3 million (Q4 2025) over five years.
- Compared with a year earlier, Accumulated Expenses has increased for seven straight quarters, with growth averaging 100.9% over the last eight quarters.
- The best year-over-year quarter for Accumulated Expenses over five years was Q3 2025 (growth of 304.4%); the worst was Q3 2023 (a decline of 33.1%).
- Per Business Quant data, OLPX's Accumulated Expenses in the three quarters before Q1 2026 was $85.3 million (Q4 2025), $80.05 million (Q3 2025) and $82.94 million (Q2 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Procter & Gamble | 337.81 Bn | 293.80 Bn | 10.28 Bn |
| 2 | Colgate Palmolive | 68.01 Bn | 63.06 Bn | 3.30 Bn |
| 3 | Kenvue | 33.93 Bn | 29.54 Bn | 2.30 Bn |
| 4 | Estee Lauder Companies | 33.63 Bn | 21.70 Bn | 2.74 Bn |
| 5 | Kimberly Clark | 32.41 Bn | 29.73 Bn | 1.60 Bn |
| 6 | Church & Dwight | 22.35 Bn | 20.88 Bn | 693.90 Mn |
| 7 | Clorox | 9.80 Bn | 8.24 Bn | 804.00 Mn |
| 8 | e.l.f. Beauty | 5.95 Bn | 4.92 Bn | 398.84 Mn |
| 9 | Reynolds Consumer Products | 4.56 Bn | 4.22 Bn | 245.00 Mn |
| 10 | Olaplex Holdings | 1.39 Bn | 169.83 Mn | 71.66 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 32.76 Mn |
| Dec 31, 2025 | 85.30 Mn |
| Sep 30, 2025 | 80.05 Mn |
| Jun 30, 2025 | 82.94 Mn |
| Mar 31, 2025 | 22.63 Mn |
| Dec 31, 2024 | 35.64 Mn |
| Sep 30, 2024 | 19.80 Mn |
| Jun 30, 2024 | 22.51 Mn |
| Mar 31, 2024 | 18.16 Mn |
| Dec 31, 2023 | 29.64 Mn |
| Sep 30, 2023 | 17.41 Mn |
| Jun 30, 2023 | 24.65 Mn |
| Mar 31, 2023 | 19.92 Mn |
| Dec 31, 2022 | 17.11 Mn |
| Sep 30, 2022 | 26.03 Mn |
| Jun 30, 2022 | 20.55 Mn |
| Mar 31, 2022 | 11.36 Mn |
| Dec 31, 2021 | 17.33 Mn |
| Sep 30, 2021 | 30.89 Mn |
| Dec 31, 2020 | 9.86 Mn |
API Access
Olaplex Holdings Accumulated 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=accumulated-expenses&ticker=OLPX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-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=accumulated-expenses&ticker=OLPX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();