e.l.f. Beauty (ELF) Cash & Equivalents (2015 - 2026)
e.l.f. Beauty (ELF) recorded Cash & Equivalents of $344.24 million in fiscal Q1 2027 (quarter ended Jun 30, 2026), up 102.5% from $170.03 million a year earlier and up 18.8% from the prior quarter.
e.l.f. Beauty (ELF) Cash & Equivalents (2015 - 2026) Analysis & Trends
At the end of FY2026 (ended Mar 31, 2026), e.l.f. Beauty reported Cash & Equivalents of $289.69 million, up 94.8% from FY2025.
- Annual Cash & Equivalents has a five-year compound annual growth rate of 38.1% (FY2021 to FY2026).
- Across earlier fiscal years, Cash & Equivalents came in at $148.69 million in FY2025 (+37.4%), $108.18 million in FY2024 (-10.4%), $120.78 million in FY2023 (+178.6%) and $43.35 million in FY2022 (-25.0%).
- The fiscal Q1 2027 figure is the highest quarterly Cash & Equivalents in data going back to fiscal Q4 2019.
- On a year-over-year basis, Cash & Equivalents has increased for seven consecutive quarters, with growth averaging 64.7% over the last eight quarters.
- Peak year-over-year performance for Cash & Equivalents in the last five years was growth of 178.6% in fiscal Q4 2023, against a decline of 42.3% in fiscal Q2 2025 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $289.69 million (Q4 2026), $196.82 million (Q3 2026) and $194.4 million (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Procter & Gamble | 390.78 Bn | 342.58 Bn | 11.60 Bn | 15.37 Bn |
| 2 | Colgate Palmolive | 77.96 Bn | 72.79 Bn | 3.23 Bn | 1.53 Bn |
| 3 | Estee Lauder Companies | 41.21 Bn | 28.31 Bn | 2.81 Bn | 3.20 Bn |
| 4 | Kenvue | 37.02 Bn | 32.73 Bn | 2.31 Bn | 1.04 Bn |
| 5 | Kimberly Clark | 36.84 Bn | 32.92 Bn | 1.44 Bn | 1.87 Bn |
| 6 | Church & Dwight | 26.38 Bn | 24.77 Bn | 749.40 Mn | 446.90 Mn |
| 7 | Clorox | 12.88 Bn | 11.29 Bn | 770.00 Mn | 184.00 Mn |
| 8 | e.l.f. Beauty | 7.00 Bn | 5.82 Bn | 370.22 Mn | 350.80 Mn |
| 9 | Reynolds Consumer Products | 5.26 Bn | 4.95 Bn | 236.00 Mn | 25.00 Mn |
| 10 | Bath & Body Works | 4.38 Bn | 2.17 Bn | 692.00 Mn | 794.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 350.80 Mn |
| Jun 30, 2026 | 344.24 Mn |
| Mar 31, 2026 | 289.69 Mn |
| Dec 31, 2025 | 196.82 Mn |
| Sep 30, 2025 | 194.40 Mn |
| Jun 30, 2025 | 170.03 Mn |
| Mar 31, 2025 | 148.69 Mn |
| Dec 31, 2024 | 73.85 Mn |
| Sep 30, 2024 | 96.77 Mn |
| Jun 30, 2024 | 109.03 Mn |
| Mar 31, 2024 | 108.18 Mn |
| Dec 31, 2023 | 72.71 Mn |
| Sep 30, 2023 | 167.76 Mn |
| Jun 30, 2023 | 142.55 Mn |
| Mar 31, 2023 | 120.78 Mn |
| Dec 31, 2022 | 87.02 Mn |
| Sep 30, 2022 | 85.32 Mn |
| Jun 30, 2022 | 72.25 Mn |
| Mar 31, 2022 | 43.35 Mn |
| Dec 31, 2021 | 32.89 Mn |
e.l.f. Beauty Cash & Equivalents 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=cash-and-equivalents&ticker=ELF&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=ELF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();