e.l.f. Beauty (ELF) Long-Term Investments (2017 - 2023)
e.l.f. Beauty (ELF) reported Long-Term Investments of $1.16 million for fiscal Q3 2024 (quarter ended Dec 31, 2023), down 59.8% from $2.88 million a year earlier and unchanged from the prior quarter.
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Analysis
e.l.f. Beauty (ELF) Long-Term Investments (2017 - 2023) Analysis & Trends
At the end of FY2023 (ended Mar 31, 2023), e.l.f. Beauty posted Long-Term Investments of $2.88 million, unchanged from FY2022.
- Long-Term Investments has a five-year compound annual growth rate of 0.0% (FY2018 to FY2023).
- By fiscal year, Long-Term Investments came in at $2.88 million in FY2022 (unchanged), $2.88 million in FY2021 (unchanged), $2.88 million in FY2020 and $2.88 million in FY2019 (unchanged).
- Five-year quarterly Long-Term Investments spans a low of $1.16 million in fiscal Q1 2024 and a high of $2.88 million in fiscal Q4 2023.
- Year over year, Long-Term Investments has now declined in each of the last three quarters, with an average decline of 22.4% over the last eight quarters.
- The year-over-year decline in Long-Term Investments has ranged between 0.0% (fiscal Q4 2023) and 59.8% (fiscal Q1 2024) over the last five years.
- Per Business Quant data, the three fiscal quarters before Q3 2024 came in at $1.16 million (Q2 2024), $1.16 million (Q1 2024) and $2.88 million (Q4 2023).
Peer Set
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
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2023 | 1.16 Mn |
| Sep 30, 2023 | 1.16 Mn |
| Jun 30, 2023 | 1.16 Mn |
| Mar 31, 2023 | 2.88 Mn |
| Dec 31, 2022 | 2.88 Mn |
| Sep 30, 2022 | 2.88 Mn |
| Jun 30, 2022 | 2.88 Mn |
| Mar 31, 2022 | 2.88 Mn |
| Dec 31, 2021 | 2.88 Mn |
| Sep 30, 2021 | 2.88 Mn |
| Jun 30, 2021 | 2.88 Mn |
| Mar 31, 2021 | 2.88 Mn |
| Dec 31, 2020 | 2.88 Mn |
| Sep 30, 2020 | 2.88 Mn |
| Jun 30, 2020 | 2.88 Mn |
| Mar 31, 2020 | 2.88 Mn |
| Dec 31, 2019 | 2.88 Mn |
| Sep 30, 2019 | 2.88 Mn |
| Jun 30, 2019 | 2.88 Mn |
| Mar 31, 2019 | 2.88 Mn |
API Access
e.l.f. Beauty 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=ELF&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-investments", "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=long-term-investments&ticker=ELF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();