e.l.f. Beauty (ELF) Tax Provisions (2015 - 2026)
e.l.f. Beauty (ELF) recorded Tax Provisions of $27.7 million in fiscal Q1 2027 (quarter ended Jun 30, 2026), up 55.6% from $17.8 million a year earlier.
e.l.f. Beauty (ELF) Tax Provisions (2015 - 2026) Analysis & Trends
On a TTM basis, e.l.f. Beauty's Tax Provisions came in at $24.04 million as of Jun 30, 2026, down 53.4% year-over-year; for FY2026 (ended Mar 31, 2026), it was $14.14 million, down 57.7% from FY2025.
- Across earlier fiscal years, Tax Provisions came in at $33.41 million in FY2025 (+150.7%), $13.33 million in FY2024 (+423.9%), $2.54 million in FY2023 (-30.5%) and $3.66 million in FY2022.
- The fiscal Q1 2027 figure is the highest quarterly Tax Provisions in data going back to fiscal Q2 2020.
- Peak year-over-year performance for Tax Provisions in the last five years was growth of 341.8% in fiscal Q3 2022, against a decline of 18.0% in fiscal Q3 2024 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at -$11.17 million (Q4 2026), $14.5 million (Q3 2026) and -$7 million (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Taxes (Qtr) |
|---|---|---|---|---|---|
| 1 | Procter & Gamble | 346.43 Bn | 302.42 Bn | 10.28 Bn | 852.00 Mn |
| 2 | Colgate Palmolive | 69.04 Bn | 64.10 Bn | 3.30 Bn | 231.00 Mn |
| 3 | Estee Lauder Companies | 34.63 Bn | 22.70 Bn | 2.74 Bn | 12.00 Mn |
| 4 | Kenvue | 34.35 Bn | 29.97 Bn | 2.30 Bn | 142.00 Mn |
| 5 | Kimberly Clark | 32.85 Bn | 30.17 Bn | 1.60 Bn | 217.00 Mn |
| 6 | Church & Dwight | 22.69 Bn | 21.21 Bn | 693.90 Mn | 53.10 Mn |
| 7 | Clorox | 9.84 Bn | 8.28 Bn | 804.00 Mn | 46.00 Mn |
| 8 | e.l.f. Beauty | 6.00 Bn | 4.97 Bn | 398.84 Mn | 27.70 Mn |
| 9 | Reynolds Consumer Products | 4.65 Bn | 4.32 Bn | 245.00 Mn | 27.00 Mn |
| 10 | Interparfums | 3.78 Bn | 3.58 Bn | 223.53 Mn | 11.36 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 27.70 Mn |
| Mar 31, 2026 | -11.17 Mn |
| Dec 31, 2025 | 14.50 Mn |
| Sep 30, 2025 | -7.00 Mn |
| Jun 30, 2025 | 17.80 Mn |
| Mar 31, 2025 | 15.78 Mn |
| Dec 31, 2024 | 9.02 Mn |
| Sep 30, 2024 | 8.93 Mn |
| Jun 30, 2024 | -325,000.00 |
| Mar 31, 2024 | -3.37 Mn |
| Dec 31, 2023 | 3.53 Mn |
| Sep 30, 2023 | 6.50 Mn |
| Jun 30, 2023 | 6.70 Mn |
| Mar 31, 2023 | -7.99 Mn |
| Dec 31, 2022 | 4.30 Mn |
| Sep 30, 2022 | 1.62 Mn |
| Jun 30, 2022 | 4.64 Mn |
| Mar 31, 2022 | -383,000.00 |
| Dec 31, 2021 | 2.04 Mn |
| Sep 30, 2021 | 475,000.00 |
e.l.f. Beauty Tax Provisions 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=tax-provisions&ticker=ELF&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "tax-provisions", "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=tax-provisions&ticker=ELF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();