e.l.f. Beauty (ELF) Inventory (2015 - 2026)
e.l.f. Beauty (ELF) recorded Inventory of $246.81 million in fiscal Q1 2027 (quarter ended Jun 30, 2026), up 44.9% from $170.38 million a year earlier and up 12.1% from the prior quarter.
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Analysis
e.l.f. Beauty (ELF) Inventory (2015 - 2026) Analysis & Trends
At the end of FY2026 (ended Mar 31, 2026), e.l.f. Beauty reported Inventory of $220.25 million, up 17.7% from FY2025.
- Annual Inventory has a five-year compound annual growth rate of 31.1% (FY2021 to FY2026).
- Across earlier fiscal years, Inventory came in at $187.17 million in FY2025 (-2.3%), $191.49 million in FY2024 (+135.5%), $81.32 million in FY2023 (-3.8%) and $84.5 million in FY2022 (+48.7%).
- Quarterly Inventory has ranged from $70.34 million in fiscal Q1 2023 to $247.39 million in fiscal Q2 2026 over the past five years.
- On a year-over-year basis, Inventory has increased for four consecutive quarters, with growth averaging 14.9% over the last eight quarters.
- Peak year-over-year performance for Inventory in the last five years was growth of 151.7% in fiscal Q3 2024, against a decline of 14.6% in fiscal Q1 2026 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $220.25 million (Q4 2026), $220.62 million (Q3 2026) and $247.39 million (Q2 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Inventory (Qtr) |
|---|---|---|---|---|---|
| 1 | Procter & Gamble | 346.43 Bn | 302.42 Bn | 10.28 Bn | 8.17 Bn |
| 2 | Colgate Palmolive | 69.04 Bn | 64.10 Bn | 3.30 Bn | 2.18 Bn |
| 3 | Estee Lauder Companies | 34.63 Bn | 22.70 Bn | 2.74 Bn | 2.00 Bn |
| 4 | Kenvue | 34.35 Bn | 29.97 Bn | 2.30 Bn | 1.72 Bn |
| 5 | Kimberly Clark | 32.85 Bn | 30.17 Bn | 1.60 Bn | 1.54 Bn |
| 6 | Church & Dwight | 22.69 Bn | 21.21 Bn | 693.90 Mn | 601.90 Mn |
| 7 | Clorox | 9.84 Bn | 8.28 Bn | 804.00 Mn | 777.00 Mn |
| 8 | e.l.f. Beauty | 6.00 Bn | 4.97 Bn | 398.84 Mn | 246.81 Mn |
| 9 | Reynolds Consumer Products | 4.65 Bn | 4.32 Bn | 245.00 Mn | 718.00 Mn |
| 10 | Interparfums | 3.78 Bn | 3.58 Bn | 223.53 Mn | 375.58 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 246.81 Mn |
| Mar 31, 2026 | 220.25 Mn |
| Dec 31, 2025 | 220.62 Mn |
| Sep 30, 2025 | 247.39 Mn |
| Jun 30, 2025 | 170.38 Mn |
| Mar 31, 2025 | 187.17 Mn |
| Dec 31, 2024 | 214.79 Mn |
| Sep 30, 2024 | 238.80 Mn |
| Jun 30, 2024 | 199.56 Mn |
| Mar 31, 2024 | 191.49 Mn |
| Dec 31, 2023 | 204.50 Mn |
| Sep 30, 2023 | 147.23 Mn |
| Jun 30, 2023 | 98.05 Mn |
| Mar 31, 2023 | 81.32 Mn |
| Dec 31, 2022 | 81.25 Mn |
| Sep 30, 2022 | 81.29 Mn |
| Jun 30, 2022 | 70.34 Mn |
| Mar 31, 2022 | 84.50 Mn |
| Dec 31, 2021 | 85.25 Mn |
| Sep 30, 2021 | 76.82 Mn |
API Access
e.l.f. Beauty Inventory 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=inventory&ticker=ELF&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "inventory", "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=inventory&ticker=ELF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();