Olaplex Holdings (OLPX) Total Current Liabilities (2020 - 2026)
Olaplex Holdings (OLPX) recorded Total Current Liabilities of $71.15 million in Q1 2026, up 8.5% from $65.56 million a year earlier but down 30.7% from the prior quarter.
Olaplex Holdings (OLPX) Total Current Liabilities (2020 - 2026) Analysis & Trends
At the end of FY2025, Olaplex Holdings reported Total Current Liabilities of $102.63 million, up 58.7% from FY2024.
- Annual Total Current Liabilities has increased for three straight years, with a five-year compound annual growth rate of 17.0% (FY2020 to FY2025).
- Across earlier years, Total Current Liabilities came in at $64.65 million in FY2024 (+15.2%), $56.14 million in FY2023 (+1.9%), $55.09 million in FY2022 (-24.4%) and $72.91 million in FY2021 (+55.8%).
- Quarterly Total Current Liabilities has ranged from $55.09 million in Q4 2022 to $119.95 million in Q2 2025 over the past five years.
- On a year-over-year basis, Total Current Liabilities has increased for ten consecutive quarters, with growth averaging 34.9% over the last eight quarters.
- Peak year-over-year performance for Total Current Liabilities in the last five years was growth of 101.0% in Q3 2025, against a decline of 36.5% in Q3 2023 at the low end.
- Per Business Quant, the preceding three quarters came in at $102.63 million (Q4 2025), $113.68 million (Q3 2025) and $119.95 million (Q2 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Procter & Gamble | 344.85 Bn | 300.84 Bn | 10.28 Bn | 38.69 Bn |
| 2 | Colgate Palmolive | 68.93 Bn | 63.99 Bn | 3.30 Bn | 6.15 Bn |
| 3 | Kenvue | 34.39 Bn | 30.01 Bn | 2.30 Bn | 5.87 Bn |
| 4 | Estee Lauder Companies | 34.18 Bn | 22.26 Bn | 2.74 Bn | 6.23 Bn |
| 5 | Kimberly Clark | 32.92 Bn | 30.25 Bn | 1.60 Bn | 6.99 Bn |
| 6 | Church & Dwight | 22.52 Bn | 21.05 Bn | 693.90 Mn | 1.33 Bn |
| 7 | Clorox | 9.87 Bn | 8.31 Bn | 804.00 Mn | 2.77 Bn |
| 8 | e.l.f. Beauty | 5.99 Bn | 4.97 Bn | 398.84 Mn | 337.66 Mn |
| 9 | Reynolds Consumer Products | 4.65 Bn | 4.32 Bn | 245.00 Mn | 660.00 Mn |
| 10 | Olaplex Holdings | 1.39 Bn | 169.83 Mn | 71.66 Mn | 71.15 Mn |
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 71.15 Mn |
| Dec 31, 2025 | 102.63 Mn |
| Sep 30, 2025 | 113.68 Mn |
| Jun 30, 2025 | 119.95 Mn |
| Mar 31, 2025 | 65.56 Mn |
| Dec 31, 2024 | 64.65 Mn |
| Sep 30, 2024 | 56.56 Mn |
| Jun 30, 2024 | 70.62 Mn |
| Mar 31, 2024 | 59.73 Mn |
| Dec 31, 2023 | 56.14 Mn |
| Sep 30, 2023 | 56.20 Mn |
| Jun 30, 2023 | 61.25 Mn |
| Mar 31, 2023 | 58.23 Mn |
| Dec 31, 2022 | 55.09 Mn |
| Sep 30, 2022 | 88.56 Mn |
| Jun 30, 2022 | 86.98 Mn |
| Mar 31, 2022 | 82.17 Mn |
| Dec 31, 2021 | 72.91 Mn |
| Sep 30, 2021 | 65.31 Mn |
| Dec 31, 2020 | 46.79 Mn |
Olaplex Holdings Total Current Liabilities 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=total-current-liabilities&ticker=OLPX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-current-liabilities", "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=total-current-liabilities&ticker=OLPX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();