Estee Lauder Companies (EL) Long-Term Investments (2010 - 2019)
Estee Lauder Companies (EL) recorded Long-Term Investments of $177 million in fiscal Q4 2019 (quarter ended Jun 30, 2019), down 79.0% from $843 million a year earlier but up 2.3% from the prior quarter.
Estee Lauder Companies (EL) Long-Term Investments (2010 - 2019) Analysis & Trends
Starting with fiscal Q4 2010, Estee Lauder Companies' Long-Term Investments history includes 23 quarters.
- Annual Long-Term Investments has declined for three straight fiscal years, though with a five-year compound annual growth rate of 67.1% (FY2014 to FY2019).
- Across earlier fiscal years, Long-Term Investments came in at $843 million in FY2018 (-17.8%), $1.03 billion in FY2017 (-7.4%), $1.11 billion in FY2016 (+163.6%) and $420.3 million in FY2015.
- Quarterly Long-Term Investments has ranged from $173 million in fiscal Q3 2019 to $1.11 billion in fiscal Q2 2018 over the past five years.
- On a year-over-year basis, Long-Term Investments has declined for five consecutive quarters, with an average decline of 30.8% over the last eight quarters.
- Peak year-over-year performance for Long-Term Investments in the last five years was growth of 173.1% in fiscal Q3 2016, against a decline of 83.2% in fiscal Q3 2019 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $173 million (Q3 2019), $600 million (Q2 2019) and $661 million (Q1 2019).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Long-Term Investments (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 | 381.00 Mn |
| 6 | Church & Dwight | 22.35 Bn | 20.88 Bn | 693.90 Mn | 12.10 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
| Date | Value |
|---|---|
| Jun 30, 2019 | 177.00 Mn |
| Mar 31, 2019 | 173.00 Mn |
| Dec 31, 2018 | 600.00 Mn |
| Sep 30, 2018 | 661.00 Mn |
| Jun 30, 2018 | 843.00 Mn |
| Mar 31, 2018 | 1.03 Bn |
| Dec 31, 2017 | 1.11 Bn |
| Sep 30, 2017 | 1.09 Bn |
| Jun 30, 2017 | 1.03 Bn |
| Mar 31, 2017 | 993.00 Mn |
| Dec 31, 2016 | 996.00 Mn |
| Sep 30, 2016 | 1.05 Bn |
| Jun 30, 2016 | 1.11 Bn |
| Mar 31, 2016 | 1.08 Bn |
| Dec 31, 2015 | 772.20 Mn |
| Sep 30, 2015 | 710.10 Mn |
| Jun 30, 2015 | 420.30 Mn |
| Mar 31, 2015 | 393.70 Mn |
| Dec 31, 2014 | 387.90 Mn |
| Jun 30, 2014 | 13.60 Mn |
Estee Lauder Companies Long-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=long-term-investments&ticker=EL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-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=long-term-investments&ticker=EL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();