e.l.f. Beauty (ELF) Other Accumulated Expenses (2015 - 2017)
e.l.f. Beauty (ELF) posted Other Accumulated Expenses of $1.87 million for fiscal Q3 2017 (quarter ended Sep 30, 2017), down 20.1% from the prior quarter.
Powered by 
Analysis
e.l.f. Beauty (ELF) Other Accumulated Expenses (2015 - 2017) Analysis & Trends
At the end of FY2016 (ended Dec 31, 2016), e.l.f. Beauty's Other Accumulated Expenses came in at $9.25 million, up 94.6% from FY2015.
- In prior fiscal years, e.l.f. Beauty's Other Accumulated Expenses was $4.75 million in FY2015.
- According to Business Quant data, Other Accumulated Expenses for the three prior fiscal quarters was $2.34 million (Q2 2017), $4.77 million (Q1 2017) and $9.25 million (Q4 2016).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Procter & Gamble | 334.70 Bn | 290.68 Bn | 10.28 Bn |
| 2 | Colgate Palmolive | 67.39 Bn | 62.44 Bn | 3.30 Bn |
| 3 | Kenvue | 33.10 Bn | 28.72 Bn | 2.30 Bn |
| 4 | Estee Lauder Companies | 32.68 Bn | 20.76 Bn | 2.74 Bn |
| 5 | Kimberly Clark | 31.38 Bn | 28.70 Bn | 1.60 Bn |
| 6 | Church & Dwight | 22.32 Bn | 20.85 Bn | 693.90 Mn |
| 7 | Clorox | 9.75 Bn | 8.19 Bn | 804.00 Mn |
| 8 | e.l.f. Beauty | 6.14 Bn | 5.11 Bn | 398.84 Mn |
| 9 | Reynolds Consumer Products | 4.62 Bn | 4.29 Bn | 245.00 Mn |
| 10 | Interparfums | 3.58 Bn | 3.39 Bn | 223.53 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2017 | 1.87 Mn |
| Jun 30, 2017 | 2.34 Mn |
| Mar 31, 2017 | 4.77 Mn |
| Dec 31, 2016 | 9.25 Mn |
| Dec 31, 2015 | 4.75 Mn |
API Access
e.l.f. Beauty Other 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=other-accumulated-expenses&ticker=ELF&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-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=other-accumulated-expenses&ticker=ELF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();