e.l.f. Beauty (ELF) EBT (2015 - 2026)
e.l.f. Beauty (ELF) posted EBT of $94.3 million for fiscal Q1 2027 (quarter ended Jun 30, 2026), up 84.5% from $51.11 million a year earlier.
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Analysis
e.l.f. Beauty (ELF) EBT (2015 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, EBT at e.l.f. Beauty was $83.65 million, down 44.0% year-over-year; for FY2026 (ended Mar 31, 2026), it came in at $40.46 million, down 72.2% from FY2025.
- Annual EBT shows a five-year compound annual growth rate of 61.4% (FY2021 to FY2026).
- In prior fiscal years, e.l.f. Beauty's EBT was $145.5 million in FY2025 (+3.2%), $140.99 million in FY2024 (+120.0%), $64.07 million in FY2023 (+152.0%) and $25.43 million in FY2022 (+589.2%).
- The fiscal Q1 2027 figure stands as the highest quarterly EBT in data going back to fiscal Q2 2020.
- On a year-over-year basis, EBT increased in four of the last six quarters, with growth averaging 74.7%.
- The strongest year-over-year quarter for EBT in the past five years was fiscal Q4 2023, with growth of 604.1%; the weakest was fiscal Q2 2025, with a decline of 29.7%.
- According to Business Quant data, EBT for the three prior fiscal quarters was -$60.53 million (Q4 2026), $53.86 million (Q3 2026) and -$3.99 million (Q2 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBT (Qtr) |
|---|---|---|---|---|---|
| 1 | Procter & Gamble | 346.43 Bn | 302.42 Bn | 10.28 Bn | 3.93 Bn |
| 2 | Colgate Palmolive | 69.04 Bn | 64.10 Bn | 3.30 Bn | 950.00 Mn |
| 3 | Estee Lauder Companies | 34.63 Bn | 22.70 Bn | 2.74 Bn | -104.00 Mn |
| 4 | Kenvue | 34.35 Bn | 29.97 Bn | 2.30 Bn | 598.00 Mn |
| 5 | Kimberly Clark | 32.85 Bn | 30.17 Bn | 1.60 Bn | 572.00 Mn |
| 6 | Church & Dwight | 22.69 Bn | 21.21 Bn | 693.90 Mn | 255.90 Mn |
| 7 | Clorox | 9.84 Bn | 8.28 Bn | 804.00 Mn | 213.00 Mn |
| 8 | e.l.f. Beauty | 6.00 Bn | 4.97 Bn | 398.84 Mn | 94.30 Mn |
| 9 | Reynolds Consumer Products | 4.65 Bn | 4.32 Bn | 245.00 Mn | 116.00 Mn |
| 10 | Interparfums | 3.78 Bn | 3.58 Bn | 223.53 Mn | 48.25 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 94.30 Mn |
| Mar 31, 2026 | -60.53 Mn |
| Dec 31, 2025 | 53.86 Mn |
| Sep 30, 2025 | -3.99 Mn |
| Jun 30, 2025 | 51.11 Mn |
| Mar 31, 2025 | 44.04 Mn |
| Dec 31, 2024 | 26.28 Mn |
| Sep 30, 2024 | 27.95 Mn |
| Jun 30, 2024 | 47.23 Mn |
| Mar 31, 2024 | 11.18 Mn |
| Dec 31, 2023 | 30.42 Mn |
| Sep 30, 2023 | 39.74 Mn |
| Jun 30, 2023 | 59.65 Mn |
| Mar 31, 2023 | 8.26 Mn |
| Dec 31, 2022 | 23.38 Mn |
| Sep 30, 2022 | 13.33 Mn |
| Jun 30, 2022 | 19.10 Mn |
| Mar 31, 2022 | 1.17 Mn |
| Dec 31, 2021 | 8.26 Mn |
| Sep 30, 2021 | 6.20 Mn |
API Access
e.l.f. Beauty EBT 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=ebt&ticker=ELF&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebt", "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=ebt&ticker=ELF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();