e.l.f. Beauty (ELF) Intangibles (2015 - 2026)
e.l.f. Beauty (ELF) reported Intangibles of $541.98 million for fiscal Q1 2027 (quarter ended Jun 30, 2026), up 166.5% from $203.35 million a year earlier but down 2.0% from the prior quarter.
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Analysis
e.l.f. Beauty (ELF) Intangibles (2015 - 2026) Analysis & Trends
At the end of FY2026 (ended Mar 31, 2026), e.l.f. Beauty posted Intangibles of $553.11 million, up 166.3% from FY2025.
- Intangibles has a five-year compound annual growth rate of 42.5% (FY2021 to FY2026).
- By fiscal year, Intangibles came in at $207.7 million in FY2025 (-7.7%), $225.09 million in FY2024 (+188.4%), $78.04 million in FY2023 (-9.4%) and $86.16 million in FY2022 (-8.6%).
- Five-year quarterly Intangibles spans a low of $73.99 million in fiscal Q2 2024 and a high of $575.38 million in fiscal Q2 2026.
- Year over year, Intangibles has now increased in each of the last four quarters, with growth averaging 104.2% over the last eight quarters.
- The high point for year-over-year Intangibles in five years was fiscal Q2 2025 (growth of 192.5%); the low point was fiscal Q2 2024 (a decline of 9.9%).
- Per Business Quant data, the three fiscal quarters before Q1 2027 came in at $553.11 million (Q4 2026), $564.24 million (Q3 2026) and $575.38 million (Q2 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Intangibles (Qtr) |
|---|---|---|---|---|---|
| 1 | Procter & Gamble | 346.43 Bn | 302.42 Bn | 10.28 Bn | 21.44 Bn |
| 2 | Colgate Palmolive | 69.04 Bn | 64.10 Bn | 3.30 Bn | 1.50 Bn |
| 3 | Estee Lauder Companies | 34.63 Bn | 22.70 Bn | 2.74 Bn | 3.58 Bn |
| 4 | Kenvue | 34.35 Bn | 29.97 Bn | 2.30 Bn | 8.41 Bn |
| 5 | Kimberly Clark | 32.85 Bn | 30.17 Bn | 1.60 Bn | 73.00 Mn |
| 6 | Church & Dwight | 22.69 Bn | 21.21 Bn | 693.90 Mn | 3.74 Bn |
| 7 | Clorox | 9.84 Bn | 8.28 Bn | 804.00 Mn | 606.00 Mn |
| 8 | e.l.f. Beauty | 6.00 Bn | 4.97 Bn | 398.84 Mn | 541.98 Mn |
| 9 | Reynolds Consumer Products | 4.65 Bn | 4.32 Bn | 245.00 Mn | 931.00 Mn |
| 10 | Interparfums | 3.78 Bn | 3.58 Bn | 223.53 Mn | 311.92 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 541.98 Mn |
| Mar 31, 2026 | 553.11 Mn |
| Dec 31, 2025 | 564.24 Mn |
| Sep 30, 2025 | 575.38 Mn |
| Jun 30, 2025 | 203.35 Mn |
| Mar 31, 2025 | 207.70 Mn |
| Dec 31, 2024 | 212.05 Mn |
| Sep 30, 2024 | 216.40 Mn |
| Jun 30, 2024 | 220.75 Mn |
| Mar 31, 2024 | 225.09 Mn |
| Dec 31, 2023 | 230.66 Mn |
| Sep 30, 2023 | 73.99 Mn |
| Jun 30, 2023 | 76.01 Mn |
| Mar 31, 2023 | 78.04 Mn |
| Dec 31, 2022 | 80.07 Mn |
| Sep 30, 2022 | 82.10 Mn |
| Jun 30, 2022 | 84.13 Mn |
| Mar 31, 2022 | 86.16 Mn |
| Dec 31, 2021 | 88.19 Mn |
| Sep 30, 2021 | 90.23 Mn |
API Access
e.l.f. Beauty Intangibles 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=intangibles&ticker=ELF&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "intangibles", "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=intangibles&ticker=ELF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();