Estee Lauder Companies (EL) Accumulated Expenses (2010 - 2016)
Estee Lauder Companies (EL) reported Accumulated Expenses of $1.57 billion for fiscal Q1 2017 (quarter ended Sep 30, 2016), up 5.9% from $1.49 billion a year earlier but down 3.6% from the prior quarter.
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Analysis
Estee Lauder Companies (EL) Accumulated Expenses (2010 - 2016) Analysis & Trends
At the end of FY2016 (ended Jun 30, 2016), Estee Lauder Companies posted Accumulated Expenses of $1.63 billion, up 11.4% from FY2015.
- Accumulated Expenses has a five-year compound annual growth rate of 4.7% (FY2011 to FY2016).
- By fiscal year, Accumulated Expenses came in at $1.46 billion in FY2015 (-3.3%), $1.51 billion in FY2014 (+5.5%), $1.43 billion in FY2013 (+9.0%) and $1.32 billion in FY2012 (+1.5%).
- Five-year quarterly Accumulated Expenses spans a low of $1.29 billion in fiscal Q2 2012 and a high of $1.63 billion in fiscal Q4 2016.
- Year over year, Accumulated Expenses has now increased in each of the last five quarters, with growth averaging 3.2% over the last eight quarters.
- The high point for year-over-year Accumulated Expenses in five years was fiscal Q3 2014 (growth of 12.7%); the low point was fiscal Q1 2015 (a decline of 6.5%).
- Per Business Quant data, the three fiscal quarters before Q1 2017 came in at $1.63 billion (Q4 2016), $1.55 billion (Q3 2016) and $1.58 billion (Q2 2016).
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 |
|---|---|
| Sep 30, 2016 | 1.57 Bn |
| Jun 30, 2016 | 1.63 Bn |
| Mar 31, 2016 | 1.55 Bn |
| Dec 31, 2015 | 1.58 Bn |
| Sep 30, 2015 | 1.49 Bn |
| Jun 30, 2015 | 1.46 Bn |
| Mar 31, 2015 | 1.46 Bn |
| Dec 31, 2014 | 1.48 Bn |
| Sep 30, 2014 | 1.41 Bn |
| Jun 30, 2014 | 1.51 Bn |
| Mar 31, 2014 | 1.51 Bn |
| Dec 31, 2013 | 1.53 Bn |
| Sep 30, 2013 | 1.51 Bn |
| Jun 30, 2013 | 1.43 Bn |
| Mar 31, 2013 | 1.34 Bn |
| Dec 31, 2012 | 1.38 Bn |
| Sep 30, 2012 | 1.34 Bn |
| Jun 30, 2012 | 1.32 Bn |
| Mar 31, 2012 | 1.33 Bn |
| Dec 31, 2011 | 1.29 Bn |
API Access
Estee Lauder Companies 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=EL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "ticker": "EL", "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=EL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();