e.l.f. Beauty (ELF) Operating Expenses (2015 - 2026)
e.l.f. Beauty's Operating Expenses came in at $280.32 million for fiscal Q1 2027 (quarter ended Jun 30, 2026), up 43.1% from $195.83 million a year earlier but down 12.2% from the prior quarter.
e.l.f. Beauty (ELF) Operating Expenses (2015 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, e.l.f. Beauty reported Operating Expenses of $1.11 billion, up 40.1% year-over-year; for FY2026 (ended Mar 31, 2026), it came in at $1.03 billion, up 31.9% from FY2025.
- Operating Expenses has increased in each of the last six fiscal years, with a five-year compound annual growth rate of 39.1% (FY2021 to FY2026).
- Going back by fiscal year, Operating Expenses was $777.66 million in FY2025 (+35.4%), $574.42 million in FY2024 (+78.3%), $322.25 million in FY2023 (+45.2%) and $221.96 million in FY2022 (+12.8%).
- The five-year range for quarterly Operating Expenses is $50.54 million (fiscal Q2 2022) to $319.14 million (fiscal Q4 2026).
- Year-over-year, Operating Expenses has increased for five consecutive quarters, with growth averaging 32.9% over the last eight quarters.
- The fastest year-over-year change in Operating Expenses over five years came in fiscal Q3 2024 (growth of 112.3%), and the weakest in fiscal Q4 2025 (a decline of 8.3%).
- Business Quant data shows ELF's Operating Expenses at $319.14 million (Q4 2026), $279.96 million (Q3 2026) and $231.14 million (Q2 2026) in the three fiscal quarters before Q1 2027.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Procter & Gamble | 346.43 Bn | 302.42 Bn | 10.28 Bn | 6.33 Bn |
| 2 | Colgate Palmolive | 69.04 Bn | 64.10 Bn | 3.30 Bn | 2.13 Bn |
| 3 | Estee Lauder Companies | 34.63 Bn | 22.70 Bn | 2.74 Bn | 2.78 Bn |
| 4 | Kenvue | 34.35 Bn | 29.97 Bn | 2.30 Bn | 1.60 Bn |
| 5 | Kimberly Clark | 32.85 Bn | 30.17 Bn | 1.60 Bn | - |
| 6 | Church & Dwight | 22.69 Bn | 21.21 Bn | 693.90 Mn | 252.20 Mn |
| 7 | Clorox | 9.84 Bn | 8.28 Bn | 804.00 Mn | 330.00 Mn |
| 8 | e.l.f. Beauty | 6.00 Bn | 4.97 Bn | 398.84 Mn | 280.32 Mn |
| 9 | Reynolds Consumer Products | 4.65 Bn | 4.32 Bn | 245.00 Mn | 107.00 Mn |
| 10 | Interparfums | 3.78 Bn | 3.58 Bn | 223.53 Mn | 174.58 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 280.32 Mn |
| Mar 31, 2026 | 319.14 Mn |
| Dec 31, 2025 | 279.96 Mn |
| Sep 30, 2025 | 231.14 Mn |
| Jun 30, 2025 | 195.83 Mn |
| Mar 31, 2025 | 192.72 Mn |
| Dec 31, 2024 | 218.22 Mn |
| Sep 30, 2024 | 186.14 Mn |
| Jun 30, 2024 | 180.58 Mn |
| Mar 31, 2024 | 210.17 Mn |
| Dec 31, 2023 | 160.12 Mn |
| Sep 30, 2023 | 112.19 Mn |
| Jun 30, 2023 | 91.94 Mn |
| Mar 31, 2023 | 121.08 Mn |
| Dec 31, 2022 | 75.43 Mn |
| Sep 30, 2022 | 64.18 Mn |
| Jun 30, 2022 | 61.56 Mn |
| Mar 31, 2022 | 65.31 Mn |
| Dec 31, 2021 | 55.37 Mn |
| Sep 30, 2021 | 50.54 Mn |
e.l.f. Beauty Operating 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=operating-expenses&ticker=ELF&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "ELF", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=operating-expenses&ticker=ELF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();