e.l.f. Beauty (ELF) Non-Current Assets (2015 - 2026)
e.l.f. Beauty (ELF) reported Non-Current Assets of $1.6 billion for fiscal Q1 2027 (quarter ended Jun 30, 2026), up 124.7% from $712.37 million a year earlier but down 0.2% from the prior quarter.
e.l.f. Beauty (ELF) Non-Current Assets (2015 - 2026) Analysis & Trends
Dating back to fiscal Q4 2019, e.l.f. Beauty's Non-Current Assets record includes 29 quarters.
- Non-Current Assets has increased for three consecutive fiscal years, with a five-year compound annual growth rate of 38.3% (FY2021 to FY2026).
- By fiscal year, Non-Current Assets came in at $707.62 million in FY2025 (+8.5%), $652.17 million in FY2024 (+123.1%), $292.28 million in FY2023 (-3.1%) and $301.6 million in FY2022 (-4.9%).
- Five-year quarterly Non-Current Assets spans a low of $287.47 million in fiscal Q1 2024 and a high of $1.62 billion in fiscal Q3 2026.
- Year over year, Non-Current Assets has now increased in each of the last 12 quarters, with growth averaging 82.3% over the last eight quarters.
- The high point for year-over-year Non-Current Assets in five years was fiscal Q2 2026 (growth of 136.0%); the low point was fiscal Q1 2023 (a decline of 5.8%).
- Per Business Quant data, the three fiscal quarters before Q1 2027 came in at $1.6 billion (Q4 2026), $1.62 billion (Q3 2026) and $1.61 billion (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non-Current Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Procter & Gamble | 346.43 Bn | 302.42 Bn | 10.28 Bn | 100.31 Bn |
| 2 | Colgate Palmolive | 69.04 Bn | 64.10 Bn | 3.30 Bn | 10.48 Bn |
| 3 | Estee Lauder Companies | 34.63 Bn | 22.70 Bn | 2.74 Bn | 12.15 Bn |
| 4 | Kenvue | 34.35 Bn | 29.97 Bn | 2.30 Bn | 20.84 Bn |
| 5 | Kimberly Clark | 32.85 Bn | 30.17 Bn | 1.60 Bn | 12.20 Bn |
| 6 | Church & Dwight | 22.69 Bn | 21.21 Bn | 693.90 Mn | 7.58 Bn |
| 7 | Clorox | 9.84 Bn | 8.28 Bn | 804.00 Mn | 5.97 Bn |
| 8 | e.l.f. Beauty | 6.00 Bn | 4.97 Bn | 398.84 Mn | 1.60 Bn |
| 9 | Reynolds Consumer Products | 4.65 Bn | 4.32 Bn | 245.00 Mn | 3.89 Bn |
| 10 | Interparfums | 3.78 Bn | 3.58 Bn | 223.53 Mn | 539.13 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.60 Bn |
| Mar 31, 2026 | 1.60 Bn |
| Dec 31, 2025 | 1.62 Bn |
| Sep 30, 2025 | 1.61 Bn |
| Jun 30, 2025 | 712.37 Mn |
| Mar 31, 2025 | 707.62 Mn |
| Dec 31, 2024 | 705.76 Mn |
| Sep 30, 2024 | 682.98 Mn |
| Jun 30, 2024 | 674.37 Mn |
| Mar 31, 2024 | 652.17 Mn |
| Dec 31, 2023 | 653.38 Mn |
| Sep 30, 2023 | 311.49 Mn |
| Jun 30, 2023 | 287.47 Mn |
| Mar 31, 2023 | 292.28 Mn |
| Dec 31, 2022 | 293.04 Mn |
| Sep 30, 2022 | 294.74 Mn |
| Jun 30, 2022 | 297.22 Mn |
| Mar 31, 2022 | 301.60 Mn |
| Dec 31, 2021 | 305.83 Mn |
| Sep 30, 2021 | 311.71 Mn |
e.l.f. Beauty Non-Current 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=non-current-assets&ticker=ELF&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-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=non-current-assets&ticker=ELF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();