Olaplex Holdings (OLPX) Interest Expenses (2020 - 2026)
Olaplex Holdings' Interest Expenses came in at $7.13 million for Q1 2026, down 48.0% from $13.73 million a year earlier and down 5.5% from the prior quarter.
Olaplex Holdings (OLPX) Interest Expenses (2020 - 2026) Analysis & Trends
Over the trailing twelve months to Mar 31, 2026, Olaplex Holdings reported Interest Expenses of $34.75 million, down 40.9% year-over-year; for FY2025, it came in at $41.34 million, down 30.6% from FY2024.
- Interest Expenses carries a five-year compound annual growth rate of 1.4% (FY2020 to FY2025).
- Going back by year, Interest Expenses was $59.59 million in FY2024 (+2.8%), $57.95 million in FY2023 (+31.9%), $43.95 million in FY2022 (-28.1%) and $61.15 million in FY2021 (+58.2%).
- The Q1 2026 figure represents the lowest quarterly Interest Expenses in data going back to Q1 2020.
- Year-over-year, Interest Expenses has declined for five consecutive quarters, with an average decline of 20.2% over the last eight quarters.
- The fastest year-over-year change in Interest Expenses over five years came in Q2 2023 (growth of 68.8%), and the weakest in Q3 2025 (a decline of 50.7%).
- Business Quant data shows OLPX's Interest Expenses at $7.55 million (Q4 2025), $7.69 million (Q3 2025) and $12.38 million (Q2 2025) in the three quarters before Q1 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Int Expense (Qtr) |
|---|---|---|---|---|---|
| 1 | Procter & Gamble | 337.81 Bn | 293.80 Bn | 10.28 Bn | 236.00 Mn |
| 2 | Colgate Palmolive | 68.01 Bn | 63.06 Bn | 3.30 Bn | 62.00 Mn |
| 3 | Kenvue | 33.93 Bn | 29.54 Bn | 2.30 Bn | - |
| 4 | Estee Lauder Companies | 33.63 Bn | 21.70 Bn | 2.74 Bn | 81.00 Mn |
| 5 | Kimberly Clark | 32.41 Bn | 29.73 Bn | 1.60 Bn | 53.00 Mn |
| 6 | Church & Dwight | 22.35 Bn | 20.88 Bn | 693.90 Mn | 24.20 Mn |
| 7 | Clorox | 9.80 Bn | 8.24 Bn | 804.00 Mn | 55.00 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 | 22.00 Mn |
| 10 | Olaplex Holdings | 1.39 Bn | 169.83 Mn | 71.66 Mn | 7.13 Mn |
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 7.13 Mn |
| Dec 31, 2025 | 7.55 Mn |
| Sep 30, 2025 | 7.69 Mn |
| Jun 30, 2025 | 12.38 Mn |
| Mar 31, 2025 | 13.73 Mn |
| Dec 31, 2024 | 14.88 Mn |
| Sep 30, 2024 | 15.61 Mn |
| Jun 30, 2024 | 14.59 Mn |
| Mar 31, 2024 | 14.50 Mn |
| Dec 31, 2023 | 14.67 Mn |
| Sep 30, 2023 | 14.69 Mn |
| Jun 30, 2023 | 14.67 Mn |
| Mar 31, 2023 | 13.92 Mn |
| Dec 31, 2022 | 13.30 Mn |
| Sep 30, 2022 | 10.50 Mn |
| Jun 30, 2022 | 8.69 Mn |
| Mar 31, 2022 | 11.46 Mn |
| Dec 31, 2021 | 15.10 Mn |
| Sep 30, 2021 | 14.99 Mn |
| Jun 30, 2021 | 15.56 Mn |
Olaplex Holdings Interest 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=interest-expenses&ticker=OLPX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "interest-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=interest-expenses&ticker=OLPX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();