e.l.f. Beauty (ELF) Revenue (2015 - 2026)
e.l.f. Beauty (ELF) recorded Revenue of $479.37 million in fiscal Q1 2027 (quarter ended Jun 30, 2026), up 35.5% from $353.74 million a year earlier and up 6.7% from the prior quarter.
e.l.f. Beauty (ELF) Revenue (2015 - 2026) Analysis & Trends
On a TTM basis, e.l.f. Beauty's Revenue came in at $1.76 billion as of Jun 30, 2026, up 31.2% year-over-year; for FY2026 (ended Mar 31, 2026), it was $1.64 billion, up 24.6% from FY2025.
- Annual Revenue has increased for six straight fiscal years, with a five-year compound annual growth rate of 38.8% (FY2021 to FY2026).
- Across earlier fiscal years, Revenue came in at $1.31 billion in FY2025 (+28.3%), $1.02 billion in FY2024 (+76.9%), $578.84 million in FY2023 (+47.6%) and $392.16 million in FY2022 (+23.3%).
- Quarterly Revenue has ranged from $91.86 million in fiscal Q2 2022 to $489.51 million in fiscal Q3 2026 over the past five years.
- On a year-over-year basis, Revenue has increased for 22 consecutive quarters, with growth averaging 25.8% over the last eight quarters.
- Over the past five years, the year-over-year growth in Revenue ranged from 3.6% (fiscal Q4 2025) to 84.9% (fiscal Q3 2024).
- Per Business Quant, the preceding three fiscal quarters came in at $449.29 million (Q4 2026), $489.51 million (Q3 2026) and $343.94 million (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Revenue (Qtr) |
|---|---|---|---|---|---|
| 1 | Procter & Gamble | 346.43 Bn | 302.42 Bn | 10.28 Bn | 21.20 Bn |
| 2 | Colgate Palmolive | 69.04 Bn | 64.10 Bn | 3.30 Bn | 5.36 Bn |
| 3 | Estee Lauder Companies | 34.63 Bn | 22.70 Bn | 2.74 Bn | 3.63 Bn |
| 4 | Kenvue | 34.35 Bn | 29.97 Bn | 2.30 Bn | 3.96 Bn |
| 5 | Kimberly Clark | 32.85 Bn | 30.17 Bn | 1.60 Bn | 4.19 Bn |
| 6 | Church & Dwight | 22.69 Bn | 21.21 Bn | 693.90 Mn | 1.53 Bn |
| 7 | Clorox | 9.84 Bn | 8.28 Bn | 804.00 Mn | 1.95 Bn |
| 8 | e.l.f. Beauty | 6.00 Bn | 4.97 Bn | 398.84 Mn | 479.37 Mn |
| 9 | Reynolds Consumer Products | 4.65 Bn | 4.32 Bn | 245.00 Mn | 944.00 Mn |
| 10 | Interparfums | 3.78 Bn | 3.58 Bn | 223.53 Mn | 341.04 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 479.37 Mn |
| Mar 31, 2026 | 449.29 Mn |
| Dec 31, 2025 | 489.51 Mn |
| Sep 30, 2025 | 343.94 Mn |
| Jun 30, 2025 | 353.74 Mn |
| Mar 31, 2025 | 332.65 Mn |
| Dec 31, 2024 | 355.32 Mn |
| Sep 30, 2024 | 301.08 Mn |
| Jun 30, 2024 | 324.48 Mn |
| Mar 31, 2024 | 321.14 Mn |
| Dec 31, 2023 | 270.94 Mn |
| Sep 30, 2023 | 215.51 Mn |
| Jun 30, 2023 | 216.34 Mn |
| Mar 31, 2023 | 187.36 Mn |
| Dec 31, 2022 | 146.54 Mn |
| Sep 30, 2022 | 122.35 Mn |
| Jun 30, 2022 | 122.60 Mn |
| Mar 31, 2022 | 105.14 Mn |
| Dec 31, 2021 | 98.12 Mn |
| Sep 30, 2021 | 91.86 Mn |
e.l.f. Beauty Revenue 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=revenue&ticker=ELF&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "revenue", "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=revenue&ticker=ELF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();