Estee Lauder Companies (EL) Short-term Investments (2014 - 2018)
Estee Lauder Companies' Short-term Investments came in at $525 million for fiscal Q2 2019 (quarter ended Dec 31, 2018), up 33.2% from $394 million a year earlier but down 4.5% from the prior quarter.
Estee Lauder Companies (EL) Short-term Investments (2014 - 2018) Analysis & Trends
At the end of FY2018 (ended Jun 30, 2018), Estee Lauder Companies' Short-term Investments was $534 million, down 11.7% from FY2017.
- Short-term Investments carries a three-year compound annual growth rate of 2.0% (FY2015 to FY2018).
- Going back by fiscal year, Short-term Investments was $605 million in FY2017 (+29.0%), $469 million in FY2016 (-6.9%) and $503.7 million in FY2015.
- The five-year range for quarterly Short-term Investments is $130.8 million (fiscal Q2 2015) to $701 million (fiscal Q3 2017).
- Year-over-year, Short-term Investments increased in four of the last eight quarters, with growth averaging 6.6%.
- The fastest year-over-year change in Short-term Investments over five years came in fiscal Q2 2016 (growth of 317.5%), and the weakest in fiscal Q3 2018 (a decline of 45.2%).
- Business Quant data shows EL's Short-term Investments at $550 million (Q1 2019), $534 million (Q4 2018) and $384 million (Q3 2018) in the three fiscal quarters before Q2 2019.
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
| Date | Value |
|---|---|
| Dec 31, 2018 | 525.00 Mn |
| Sep 30, 2018 | 550.00 Mn |
| Jun 30, 2018 | 534.00 Mn |
| Mar 31, 2018 | 384.00 Mn |
| Dec 31, 2017 | 394.00 Mn |
| Sep 30, 2017 | 381.00 Mn |
| Jun 30, 2017 | 605.00 Mn |
| Mar 31, 2017 | 701.00 Mn |
| Dec 31, 2016 | 413.00 Mn |
| Sep 30, 2016 | 525.00 Mn |
| Jun 30, 2016 | 469.00 Mn |
| Mar 31, 2016 | 517.50 Mn |
| Dec 31, 2015 | 546.10 Mn |
| Sep 30, 2015 | 670.80 Mn |
| Jun 30, 2015 | 503.70 Mn |
| Mar 31, 2015 | 136.70 Mn |
| Dec 31, 2014 | 130.80 Mn |
Estee Lauder Companies Short-term Investments 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=short-term-investments&ticker=EL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "short-term-investments", "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=short-term-investments&ticker=EL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();