e.l.f. Beauty (ELF) Gains from Sales and Divestitures (2016 - 2017)
e.l.f. Beauty's Gains from Sales and Divestitures was -$295,000 in fiscal Q4 2017 (quarter ended Dec 31, 2017), compared with -$25,000 a year earlier.
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Analysis
e.l.f. Beauty (ELF) Gains from Sales and Divestitures (2016 - 2017) Analysis & Trends
For FY2017 (ended Dec 31, 2017), Gains from Sales and Divestitures at e.l.f. Beauty came in at -$536,000.
- In earlier fiscal years, Gains from Sales and Divestitures was -$260,000 in FY2016, -$571,000 in FY2015 and -$71,000 in FY2014.
- The fiscal Q4 2017 figure marks the lowest quarterly Gains from Sales and Divestitures in data going back to fiscal Q1 2016.
- Per Business Quant data, ELF's Gains from Sales and Divestitures in the three fiscal quarters before Q4 2017 was -$58,000 (Q3 2017), -$52,000 (Q2 2017) and -$131,000 (Q1 2017).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Procter & Gamble | 336.76 Bn | 292.75 Bn | 10.28 Bn |
| 2 | Colgate Palmolive | 67.18 Bn | 62.24 Bn | 3.30 Bn |
| 3 | Estee Lauder Companies | 33.32 Bn | 21.40 Bn | 2.74 Bn |
| 4 | Kenvue | 33.09 Bn | 28.70 Bn | 2.30 Bn |
| 5 | Kimberly Clark | 31.38 Bn | 28.71 Bn | 1.60 Bn |
| 6 | Church & Dwight | 22.37 Bn | 20.90 Bn | 693.90 Mn |
| 7 | Clorox | 9.72 Bn | 8.16 Bn | 804.00 Mn |
| 8 | e.l.f. Beauty | 6.17 Bn | 5.15 Bn | 398.84 Mn |
| 9 | Reynolds Consumer Products | 4.71 Bn | 4.37 Bn | 245.00 Mn |
| 10 | Interparfums | 3.65 Bn | 3.46 Bn | 223.53 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2017 | -295,000.00 |
| Sep 30, 2017 | -58,000.00 |
| Jun 30, 2017 | -52,000.00 |
| Mar 31, 2017 | -131,000.00 |
| Dec 31, 2016 | -25,000.00 |
| Sep 30, 2016 | -16,000.00 |
| Jun 30, 2016 | -102,000.00 |
| Mar 31, 2016 | -117,000.00 |
API Access
e.l.f. Beauty Gains from Sales and Divestitures 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=gains-from-sales-and-divestitures&ticker=ELF&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "gains-from-sales-and-divestitures", "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=gains-from-sales-and-divestitures&ticker=ELF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();