e.l.f. Beauty (ELF) Change in Cash (2015 - 2026)
e.l.f. Beauty's Change in Cash came in at $54.56 million for fiscal Q1 2027 (quarter ended Jun 30, 2026), up 155.7% from $21.34 million a year earlier but down 41.3% from the prior quarter.
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Analysis
e.l.f. Beauty (ELF) Change in Cash (2015 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, e.l.f. Beauty reported Change in Cash of $174.21 million, up 185.6% year-over-year; for FY2026 (ended Mar 31, 2026), it was $140.99 million, up 248.1% from FY2025.
- Change in Cash carries a five-year compound annual growth rate of 64.8% (FY2021 to FY2026).
- Going back by fiscal year, Change in Cash was $40.51 million in FY2025, -$12.6 million in FY2024, $77.43 million in FY2023 and -$14.42 million in FY2022.
- The five-year range for quarterly Change in Cash is -$92.81 million (fiscal Q3 2024) to $92.86 million (fiscal Q4 2026).
- The fastest year-over-year change in Change in Cash over five years came in fiscal Q1 2023 (growth of 412.9%), and the weakest in fiscal Q1 2025 (a decline of 96.1%).
- Business Quant data shows ELF's Change in Cash at $92.86 million (Q4 2026), -$2.58 million (Q3 2026) and $29.37 million (Q2 2026) in the three fiscal quarters before Q1 2027.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change in Cash (Qtr) |
|---|---|---|---|---|---|
| 1 | Procter & Gamble | 337.81 Bn | 293.80 Bn | 10.28 Bn | -2.36 Bn |
| 2 | Colgate Palmolive | 68.01 Bn | 63.06 Bn | 3.30 Bn | 35.00 Mn |
| 3 | Kenvue | 33.93 Bn | 29.54 Bn | 2.30 Bn | 35.00 Mn |
| 4 | Estee Lauder Companies | 33.63 Bn | 21.70 Bn | 2.74 Bn | 372.00 Mn |
| 5 | Kimberly Clark | 32.41 Bn | 29.73 Bn | 1.60 Bn | 804.00 Mn |
| 6 | Church & Dwight | 22.35 Bn | 20.88 Bn | 693.90 Mn | -248.60 Mn |
| 7 | Clorox | 9.80 Bn | 8.24 Bn | 804.00 Mn | -1.04 Bn |
| 8 | e.l.f. Beauty | 5.95 Bn | 4.92 Bn | 398.84 Mn | 54.56 Mn |
| 9 | Reynolds Consumer Products | 4.56 Bn | 4.22 Bn | 245.00 Mn | -5.00 Mn |
| 10 | Interparfums | 3.55 Bn | 3.36 Bn | 223.53 Mn | 89.84 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 54.56 Mn |
| Mar 31, 2026 | 92.86 Mn |
| Dec 31, 2025 | -2.58 Mn |
| Sep 30, 2025 | 29.37 Mn |
| Jun 30, 2025 | 21.34 Mn |
| Mar 31, 2025 | 74.85 Mn |
| Dec 31, 2024 | -22.92 Mn |
| Sep 30, 2024 | -12.27 Mn |
| Jun 30, 2024 | 851,000.00 |
| Mar 31, 2024 | 33.23 Mn |
| Dec 31, 2023 | -92.81 Mn |
| Sep 30, 2023 | 25.21 Mn |
| Jun 30, 2023 | 21.77 Mn |
| Mar 31, 2023 | 33.76 Mn |
| Dec 31, 2022 | 1.70 Mn |
| Sep 30, 2022 | 13.07 Mn |
| Jun 30, 2022 | 28.90 Mn |
| Mar 31, 2022 | 10.46 Mn |
| Dec 31, 2021 | -8.81 Mn |
| Sep 30, 2021 | -21.71 Mn |
API Access
e.l.f. Beauty Change in Cash 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=change-in-cash&ticker=ELF&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-cash", "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=change-in-cash&ticker=ELF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();