Olaplex Holdings (OLPX) Total Non-Current Liabilities (2020 - 2026)
Olaplex Holdings (OLPX) recorded Total Non-Current Liabilities of $580.42 million in Q1 2026, down 34.8% from $890.48 million a year earlier and down 5.8% from the prior quarter.
Olaplex Holdings (OLPX) Total Non-Current Liabilities (2020 - 2026) Analysis & Trends
At the end of FY2025, Olaplex Holdings reported Total Non-Current Liabilities of $616.06 million, down 30.9% from FY2024.
- Annual Total Non-Current Liabilities has declined for three straight years, with a five-year compound annual growth rate of -5.1% (FY2020 to FY2025).
- Across earlier years, Total Non-Current Liabilities came in at $891 million in FY2024 (-0.3%), $893.68 million in FY2023 (-2.5%), $916.72 million in FY2022 (+13.0%) and $811 million in FY2021 (+1.1%).
- The Q1 2026 figure is the lowest quarterly Total Non-Current Liabilities in data going back to Q4 2020.
- On a year-over-year basis, Total Non-Current Liabilities has declined for seven consecutive quarters, with an average decline of 18.0% over the last seven quarters.
- Peak year-over-year performance for Total Non-Current Liabilities in the last five years was growth of 25.5% in Q1 2024, against a decline of 34.8% in Q1 2026 at the low end.
- Per Business Quant, the preceding three quarters came in at $616.06 million (Q4 2025), $623.38 million (Q3 2025) and $640.45 million (Q2 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Procter & Gamble | 344.85 Bn | 300.84 Bn | 10.28 Bn | 67.30 Bn |
| 2 | Colgate Palmolive | 68.93 Bn | 63.99 Bn | 3.30 Bn | 14.17 Bn |
| 3 | Kenvue | 34.39 Bn | 30.01 Bn | 2.30 Bn | 15.61 Bn |
| 4 | Estee Lauder Companies | 34.18 Bn | 22.26 Bn | 2.74 Bn | 9.73 Bn |
| 5 | Kimberly Clark | 32.92 Bn | 30.25 Bn | 1.60 Bn | 16.06 Bn |
| 6 | Church & Dwight | 22.52 Bn | 21.05 Bn | 693.90 Mn | 4.43 Bn |
| 7 | Clorox | 9.87 Bn | 8.31 Bn | 804.00 Mn | 7.14 Bn |
| 8 | e.l.f. Beauty | 5.99 Bn | 4.97 Bn | 398.84 Mn | 1.24 Bn |
| 9 | Reynolds Consumer Products | 4.65 Bn | 4.32 Bn | 245.00 Mn | 2.66 Bn |
| 10 | Olaplex Holdings | 1.39 Bn | 169.83 Mn | 71.66 Mn | 580.42 Mn |
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 580.42 Mn |
| Dec 31, 2025 | 616.06 Mn |
| Sep 30, 2025 | 623.38 Mn |
| Jun 30, 2025 | 640.45 Mn |
| Mar 31, 2025 | 890.48 Mn |
| Dec 31, 2024 | 891.00 Mn |
| Sep 30, 2024 | 877.63 Mn |
| Jun 30, 2024 | 891.51 Mn |
| Mar 31, 2024 | 895.60 Mn |
| Dec 31, 2023 | 893.68 Mn |
| Sep 30, 2023 | 900.00 Mn |
| Mar 31, 2023 | 713.54 Mn |
| Dec 31, 2022 | 916.72 Mn |
| Sep 30, 2022 | 744.22 Mn |
| Jun 30, 2022 | 743.97 Mn |
| Mar 31, 2022 | 740.48 Mn |
| Dec 31, 2021 | 811.00 Mn |
| Sep 30, 2021 | 807.67 Mn |
| Dec 31, 2020 | 802.16 Mn |
Olaplex Holdings Total Non-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-non-current-liabilities&ticker=OLPX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-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-non-current-liabilities&ticker=OLPX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();