e.l.f. Beauty (ELF) Prepaid Assets (2015 - 2026)
e.l.f. Beauty (ELF) posted Prepaid Assets of $94.26 million for fiscal Q1 2027 (quarter ended Jun 30, 2026), up 6.2% from $88.77 million a year earlier but down 10.1% from the prior quarter.
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Analysis
e.l.f. Beauty (ELF) Prepaid Assets (2015 - 2026) Analysis & Trends
At the end of FY2026 (ended Mar 31, 2026), e.l.f. Beauty's Prepaid Assets came in at $104.79 million, up 33.2% from FY2025.
- Annual Prepaid Assets has increased for six consecutive fiscal years, with a five-year compound annual growth rate of 46.8% (FY2021 to FY2026).
- In prior fiscal years, e.l.f. Beauty's Prepaid Assets was $78.69 million in FY2025 (+46.8%), $53.61 million in FY2024 (+61.0%), $33.3 million in FY2023 (+69.8%) and $19.61 million in FY2022 (+27.5%).
- Quarterly Prepaid Assets has run from a low of $18.42 million in fiscal Q2 2022 to a high of $110.76 million in fiscal Q2 2026 over five years.
- On a year-over-year basis, Prepaid Assets has increased in each of the last 22 quarters, with growth averaging 43.3% over the last eight quarters.
- The year-over-year growth in Prepaid Assets has ranged between 0.5% (fiscal Q1 2023) and 112.9% (fiscal Q2 2025) over the last five years.
- According to Business Quant data, Prepaid Assets for the three prior fiscal quarters was $104.79 million (Q4 2026), $93.84 million (Q3 2026) and $110.76 million (Q2 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Procter & Gamble | 344.85 Bn | 300.84 Bn | 10.28 Bn |
| 2 | Colgate Palmolive | 68.93 Bn | 63.99 Bn | 3.30 Bn |
| 3 | Kenvue | 34.39 Bn | 30.01 Bn | 2.30 Bn |
| 4 | Estee Lauder Companies | 34.18 Bn | 22.26 Bn | 2.74 Bn |
| 5 | Kimberly Clark | 32.92 Bn | 30.25 Bn | 1.60 Bn |
| 6 | Church & Dwight | 22.52 Bn | 21.05 Bn | 693.90 Mn |
| 7 | Clorox | 9.87 Bn | 8.31 Bn | 804.00 Mn |
| 8 | e.l.f. Beauty | 5.99 Bn | 4.97 Bn | 398.84 Mn |
| 9 | Reynolds Consumer Products | 4.65 Bn | 4.32 Bn | 245.00 Mn |
| 10 | Interparfums | 3.69 Bn | 3.49 Bn | 223.53 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 94.26 Mn |
| Mar 31, 2026 | 104.79 Mn |
| Dec 31, 2025 | 93.84 Mn |
| Sep 30, 2025 | 110.76 Mn |
| Jun 30, 2025 | 88.77 Mn |
| Mar 31, 2025 | 78.69 Mn |
| Dec 31, 2024 | 82.70 Mn |
| Sep 30, 2024 | 71.91 Mn |
| Jun 30, 2024 | 66.16 Mn |
| Mar 31, 2024 | 53.61 Mn |
| Dec 31, 2023 | 56.63 Mn |
| Sep 30, 2023 | 33.77 Mn |
| Jun 30, 2023 | 39.28 Mn |
| Mar 31, 2023 | 33.30 Mn |
| Dec 31, 2022 | 28.38 Mn |
| Sep 30, 2022 | 26.88 Mn |
| Jun 30, 2022 | 21.77 Mn |
| Mar 31, 2022 | 19.61 Mn |
| Dec 31, 2021 | 19.81 Mn |
| Sep 30, 2021 | 18.42 Mn |
API Access
e.l.f. Beauty Prepaid Assets 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=prepaid-assets&ticker=ELF&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "prepaid-assets", "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=prepaid-assets&ticker=ELF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();