e.l.f. Beauty (ELF) Restructuring Costs (2019 - 2022)
e.l.f. Beauty (ELF) reported Restructuring Costs of -$18,000 for fiscal Q4 2022 (quarter ended Mar 31, 2022), compared with $2.64 million a year earlier.
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Analysis
e.l.f. Beauty (ELF) Restructuring Costs (2019 - 2022) Analysis & Trends
For FY2022 (ended Mar 31, 2022), e.l.f. Beauty posted Restructuring Costs of $50,000, down 98.1% from FY2021.
- By fiscal year, Restructuring Costs came in at $2.64 million in FY2021, -$5.98 million in FY2020 and -$5.98 million in FY2019.
- The fiscal Q4 2022 figure ranks as the lowest quarterly Restructuring Costs since fiscal Q3 2020.
- Per Business Quant data, the three fiscal quarters before Q4 2022 came in at -$14,000 (Q3 2022), $96,000 (Q2 2022) and -$14,000 (Q1 2022).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Procter & Gamble | 389.52 Bn | 341.08 Bn | 11.60 Bn |
| 2 | Colgate Palmolive | 77.87 Bn | 72.35 Bn | 3.23 Bn |
| 3 | Estee Lauder Companies | 40.86 Bn | 27.95 Bn | 2.81 Bn |
| 4 | Kenvue | 37.02 Bn | 32.73 Bn | 2.31 Bn |
| 5 | Kimberly Clark | 36.57 Bn | 32.51 Bn | 1.44 Bn |
| 6 | Church & Dwight | 26.26 Bn | 24.65 Bn | 749.40 Mn |
| 7 | Clorox | 12.68 Bn | 10.94 Bn | 770.00 Mn |
| 8 | e.l.f. Beauty | 6.96 Bn | 5.78 Bn | 370.22 Mn |
| 9 | Reynolds Consumer Products | 5.15 Bn | 4.85 Bn | 236.00 Mn |
| 10 | Bath & Body Works | 4.60 Bn | 1.80 Bn | 692.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2022 | -18,000.00 |
| Dec 31, 2021 | -14,000.00 |
| Sep 30, 2021 | 96,000.00 |
| Jun 30, 2021 | -14,000.00 |
| Mar 31, 2021 | 2.64 Mn |
| Dec 31, 2019 | 8,000.00 |
| Sep 30, 2019 | -4.20 Mn |
| Jun 30, 2019 | -1.79 Mn |
API Access
e.l.f. Beauty Restructuring Costs 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=restructuring-costs&ticker=ELF&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "restructuring-costs", "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=restructuring-costs&ticker=ELF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();