e.l.f. Beauty (ELF) EBIT (2015 - 2026)
e.l.f. Beauty (ELF) reported EBIT of $102.44 million for fiscal Q1 2027 (quarter ended Jun 30, 2026), up 110.3% from $48.71 million a year earlier.
e.l.f. Beauty (ELF) EBIT (2015 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, e.l.f. Beauty's EBIT came in at $127.36 million, down 18.4% year-over-year; for FY2026 (ended Mar 31, 2026), it was $73.63 million, down 53.4% from FY2025.
- EBIT has a five-year compound annual growth rate of 50.9% (FY2021 to FY2026).
- By fiscal year, EBIT came in at $158.03 million in FY2025 (+5.6%), $149.68 million in FY2024 (+119.7%), $68.14 million in FY2023 (+128.9%) and $29.77 million in FY2022 (+216.7%).
- The fiscal Q1 2027 figure ranks as the highest quarterly EBIT in data going back to fiscal Q2 2020.
- Year over year, EBIT gained in four of the last seven quarters, with growth averaging 38.1%.
- The high point for year-over-year EBIT in five years was fiscal Q2 2022 (growth of 278.2%); the low point was fiscal Q2 2026 (a decline of 72.4%).
- Per Business Quant data, the three fiscal quarters before Q1 2027 came in at -$50.33 million (Q4 2026), $67.54 million (Q3 2026) and $7.72 million (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBIT (Qtr) |
|---|---|---|---|---|---|
| 1 | Procter & Gamble | 346.43 Bn | 302.42 Bn | 10.28 Bn | 3.95 Bn |
| 2 | Colgate Palmolive | 69.04 Bn | 64.10 Bn | 3.30 Bn | 1.02 Bn |
| 3 | Estee Lauder Companies | 34.63 Bn | 22.70 Bn | 2.74 Bn | -39.00 Mn |
| 4 | Kenvue | 34.35 Bn | 29.97 Bn | 2.30 Bn | 699.00 Mn |
| 5 | Kimberly Clark | 32.85 Bn | 30.17 Bn | 1.60 Bn | 633.00 Mn |
| 6 | Church & Dwight | 22.69 Bn | 21.21 Bn | 693.90 Mn | 276.40 Mn |
| 7 | Clorox | 9.84 Bn | 8.28 Bn | 804.00 Mn | 474.00 Mn |
| 8 | e.l.f. Beauty | 6.00 Bn | 4.97 Bn | 398.84 Mn | 102.44 Mn |
| 9 | Reynolds Consumer Products | 4.65 Bn | 4.32 Bn | 245.00 Mn | 138.00 Mn |
| 10 | Interparfums | 3.78 Bn | 3.58 Bn | 223.53 Mn | 48.94 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 102.44 Mn |
| Mar 31, 2026 | -50.33 Mn |
| Dec 31, 2025 | 67.54 Mn |
| Sep 30, 2025 | 7.72 Mn |
| Jun 30, 2025 | 48.71 Mn |
| Mar 31, 2025 | 44.32 Mn |
| Dec 31, 2024 | 35.09 Mn |
| Sep 30, 2024 | 27.92 Mn |
| Jun 30, 2024 | 50.71 Mn |
| Mar 31, 2024 | 17.03 Mn |
| Dec 31, 2023 | 31.84 Mn |
| Sep 30, 2023 | 40.18 Mn |
| Jun 30, 2023 | 60.63 Mn |
| Mar 31, 2023 | 8.05 Mn |
| Dec 31, 2022 | 23.29 Mn |
| Sep 30, 2022 | 15.38 Mn |
| Jun 30, 2022 | 21.43 Mn |
| Mar 31, 2022 | 2.19 Mn |
| Dec 31, 2021 | 8.97 Mn |
| Sep 30, 2021 | 7.44 Mn |
e.l.f. Beauty EBIT 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=ebit&ticker=ELF&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebit", "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=ebit&ticker=ELF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();