e.l.f. Beauty (ELF) EBITDA (2015 - 2026)
e.l.f. Beauty (ELF) recorded EBITDA of $128.54 million in fiscal Q1 2027 (quarter ended Jun 30, 2026), up 107.7% from $61.9 million a year earlier.
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Analysis
e.l.f. Beauty (ELF) EBITDA (2015 - 2026) Analysis & Trends
On a TTM basis, e.l.f. Beauty's EBITDA came in at $219.63 million as of Jun 30, 2026, up 7.5% year-over-year; for FY2026 (ended Mar 31, 2026), it was $152.99 million, down 24.3% from FY2025.
- Annual EBITDA has a five-year compound annual growth rate of 34.6% (FY2021 to FY2026).
- Across earlier fiscal years, EBITDA came in at $202.14 million in FY2025 (+12.4%), $179.85 million in FY2024 (+109.8%), $85.74 million in FY2023 (+50.8%) and $56.85 million in FY2022 (+64.4%).
- The fiscal Q1 2027 figure is the highest quarterly EBITDA in data going back to fiscal Q2 2020.
- On a year-over-year basis, EBITDA rose in five of the last seven quarters, with growth averaging 40.5%.
- Peak year-over-year performance for EBITDA in the last five years was growth of 192.5% in fiscal Q4 2024, against a decline of 31.9% in fiscal Q2 2026 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at -$24.01 million (Q4 2026), $89.1 million (Q3 2026) and $26 million (Q2 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Procter & Gamble | 346.43 Bn | 302.42 Bn | 10.28 Bn | 4.76 Bn |
| 2 | Colgate Palmolive | 69.04 Bn | 64.10 Bn | 3.30 Bn | 1.17 Bn |
| 3 | Estee Lauder Companies | 34.63 Bn | 22.70 Bn | 2.74 Bn | 159.00 Mn |
| 4 | Kenvue | 34.35 Bn | 29.97 Bn | 2.30 Bn | 844.00 Mn |
| 5 | Kimberly Clark | 32.85 Bn | 30.17 Bn | 1.60 Bn | 800.00 Mn |
| 6 | Church & Dwight | 22.69 Bn | 21.21 Bn | 693.90 Mn | 383.00 Mn |
| 7 | Clorox | 9.84 Bn | 8.28 Bn | 804.00 Mn | 552.00 Mn |
| 8 | e.l.f. Beauty | 6.00 Bn | 4.97 Bn | 398.84 Mn | 128.54 Mn |
| 9 | Reynolds Consumer Products | 4.65 Bn | 4.32 Bn | 245.00 Mn | 170.00 Mn |
| 10 | Interparfums | 3.78 Bn | 3.58 Bn | 223.53 Mn | 54.77 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 128.54 Mn |
| Mar 31, 2026 | -24.01 Mn |
| Dec 31, 2025 | 89.10 Mn |
| Sep 30, 2025 | 26.00 Mn |
| Jun 30, 2025 | 61.90 Mn |
| Mar 31, 2025 | 57.53 Mn |
| Dec 31, 2024 | 46.68 Mn |
| Sep 30, 2024 | 38.16 Mn |
| Jun 30, 2024 | 59.77 Mn |
| Mar 31, 2024 | 26.75 Mn |
| Dec 31, 2023 | 39.97 Mn |
| Sep 30, 2023 | 46.85 Mn |
| Jun 30, 2023 | 66.27 Mn |
| Mar 31, 2023 | 9.15 Mn |
| Dec 31, 2022 | 28.71 Mn |
| Sep 30, 2022 | 20.73 Mn |
| Jun 30, 2022 | 27.15 Mn |
| Mar 31, 2022 | 8.95 Mn |
| Dec 31, 2021 | 15.94 Mn |
| Sep 30, 2021 | 14.57 Mn |
API Access
e.l.f. Beauty EBITDA 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=ebitda&ticker=ELF&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=ELF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();