Olaplex Holdings (OLPX) Inventory (2020 - 2026)
Olaplex Holdings' Inventory was $66.36 million in Q1 2026, down 16.2% from $79.18 million a year earlier but up 10.2% from the prior quarter.
Powered by 
Analysis
Olaplex Holdings (OLPX) Inventory (2020 - 2026) Analysis & Trends
At the end of FY2025, Inventory at Olaplex Holdings came in at $60.22 million, down 19.9% from FY2024.
- Inventory has now declined for three consecutive years, though with a five-year compound annual growth rate of 12.4% (FY2020 to FY2025).
- In earlier years, Inventory was $75.17 million in FY2024 (-21.6%), $95.92 million in FY2023 (-33.6%), $144.43 million in FY2022 (+46.8%) and $98.4 million in FY2021 (+192.9%).
- Quarterly Inventory has moved between $60.22 million (Q4 2025) and $151.28 million (Q3 2022) over five years.
- Compared with a year earlier, Inventory has declined for 12 straight quarters, with an average decline of 19.6% over the last eight quarters.
- The best year-over-year quarter for Inventory over five years was Q4 2021 (growth of 192.9%); the worst was Q4 2023 (a decline of 33.6%).
- Per Business Quant data, OLPX's Inventory in the three quarters before Q1 2026 was $60.22 million (Q4 2025), $73.26 million (Q3 2025) and $78.32 million (Q2 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Inventory (Qtr) |
|---|---|---|---|---|---|
| 1 | Procter & Gamble | 344.85 Bn | 300.84 Bn | 10.28 Bn | 8.17 Bn |
| 2 | Colgate Palmolive | 68.93 Bn | 63.99 Bn | 3.30 Bn | 2.18 Bn |
| 3 | Kenvue | 34.39 Bn | 30.01 Bn | 2.30 Bn | 1.72 Bn |
| 4 | Estee Lauder Companies | 34.18 Bn | 22.26 Bn | 2.74 Bn | 2.00 Bn |
| 5 | Kimberly Clark | 32.92 Bn | 30.25 Bn | 1.60 Bn | 1.54 Bn |
| 6 | Church & Dwight | 22.52 Bn | 21.05 Bn | 693.90 Mn | 601.90 Mn |
| 7 | Clorox | 9.87 Bn | 8.31 Bn | 804.00 Mn | 777.00 Mn |
| 8 | e.l.f. Beauty | 5.99 Bn | 4.97 Bn | 398.84 Mn | 246.81 Mn |
| 9 | Reynolds Consumer Products | 4.65 Bn | 4.32 Bn | 245.00 Mn | 718.00 Mn |
| 10 | Olaplex Holdings | 1.39 Bn | 169.83 Mn | 71.66 Mn | 66.36 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 66.36 Mn |
| Dec 31, 2025 | 60.22 Mn |
| Sep 30, 2025 | 73.26 Mn |
| Jun 30, 2025 | 78.32 Mn |
| Mar 31, 2025 | 79.18 Mn |
| Dec 31, 2024 | 75.17 Mn |
| Sep 30, 2024 | 85.91 Mn |
| Jun 30, 2024 | 100.16 Mn |
| Mar 31, 2024 | 94.64 Mn |
| Dec 31, 2023 | 95.92 Mn |
| Sep 30, 2023 | 112.76 Mn |
| Jun 30, 2023 | 128.51 Mn |
| Mar 31, 2023 | 132.01 Mn |
| Dec 31, 2022 | 144.43 Mn |
| Sep 30, 2022 | 151.28 Mn |
| Jun 30, 2022 | 140.32 Mn |
| Mar 31, 2022 | 117.47 Mn |
| Dec 31, 2021 | 98.40 Mn |
| Sep 30, 2021 | 69.09 Mn |
| Dec 31, 2020 | 33.60 Mn |
API Access
Olaplex Holdings Inventory 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=inventory&ticker=OLPX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "inventory", "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=inventory&ticker=OLPX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();