e.l.f. Beauty (ELF) Accumulated Expenses (2015 - 2026)
e.l.f. Beauty (ELF) posted Accumulated Expenses of $183.5 million for fiscal Q1 2027 (quarter ended Jun 30, 2026), up 66.6% from $110.14 million a year earlier and up 0.6% from the prior quarter.
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Analysis
e.l.f. Beauty (ELF) Accumulated Expenses (2015 - 2026) Analysis & Trends
At the end of FY2026 (ended Mar 31, 2026), e.l.f. Beauty's Accumulated Expenses came in at $182.47 million, up 74.0% from FY2025.
- Annual Accumulated Expenses shows a five-year compound annual growth rate of 34.6% (FY2021 to FY2026).
- In prior fiscal years, e.l.f. Beauty's Accumulated Expenses was $104.88 million in FY2025 (-10.9%), $117.73 million in FY2024 (+65.9%), $70.97 million in FY2023 (+77.4%) and $40 million in FY2022 (-3.3%).
- The fiscal Q1 2027 figure stands as the highest quarterly Accumulated Expenses in data going back to fiscal Q4 2019.
- On a year-over-year basis, Accumulated Expenses has increased in each of the last four quarters, with growth averaging 23.9% over the last eight quarters.
- The strongest year-over-year quarter for Accumulated Expenses in the past five years was fiscal Q3 2024, with growth of 160.3%; the weakest was fiscal Q4 2025, with a decline of 10.9%.
- According to Business Quant data, Accumulated Expenses for the three prior fiscal quarters was $182.47 million (Q4 2026), $150.32 million (Q3 2026) and $130.07 million (Q2 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Procter & Gamble | 337.81 Bn | 293.80 Bn | 10.28 Bn |
| 2 | Colgate Palmolive | 68.01 Bn | 63.06 Bn | 3.30 Bn |
| 3 | Kenvue | 33.93 Bn | 29.54 Bn | 2.30 Bn |
| 4 | Estee Lauder Companies | 33.63 Bn | 21.70 Bn | 2.74 Bn |
| 5 | Kimberly Clark | 32.41 Bn | 29.73 Bn | 1.60 Bn |
| 6 | Church & Dwight | 22.35 Bn | 20.88 Bn | 693.90 Mn |
| 7 | Clorox | 9.80 Bn | 8.24 Bn | 804.00 Mn |
| 8 | e.l.f. Beauty | 5.95 Bn | 4.92 Bn | 398.84 Mn |
| 9 | Reynolds Consumer Products | 4.56 Bn | 4.22 Bn | 245.00 Mn |
| 10 | Interparfums | 3.55 Bn | 3.36 Bn | 223.53 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 183.50 Mn |
| Mar 31, 2026 | 182.47 Mn |
| Dec 31, 2025 | 150.32 Mn |
| Sep 30, 2025 | 130.07 Mn |
| Jun 30, 2025 | 110.14 Mn |
| Mar 31, 2025 | 104.88 Mn |
| Dec 31, 2024 | 128.36 Mn |
| Sep 30, 2024 | 117.03 Mn |
| Jun 30, 2024 | 116.88 Mn |
| Mar 31, 2024 | 117.73 Mn |
| Dec 31, 2023 | 129.63 Mn |
| Sep 30, 2023 | 83.41 Mn |
| Jun 30, 2023 | 51.04 Mn |
| Mar 31, 2023 | 70.97 Mn |
| Dec 31, 2022 | 49.80 Mn |
| Sep 30, 2022 | 46.87 Mn |
| Jun 30, 2022 | 39.92 Mn |
| Mar 31, 2022 | 40.00 Mn |
| Dec 31, 2021 | 33.98 Mn |
| Sep 30, 2021 | 32.67 Mn |
API Access
e.l.f. Beauty Accumulated Expenses 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=accumulated-expenses&ticker=ELF&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "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=accumulated-expenses&ticker=ELF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();