Ulta Beauty (ULTA) Tax Provisions (2010 - 2026)
Ulta Beauty (ULTA) posted Tax Provisions of $91.88 million for fiscal Q2 2027 (quarter ended Aug 1, 2026), up 8.4% from $84.8 million a year earlier but down 14.0% from the prior quarter.
Ulta Beauty (ULTA) Tax Provisions (2010 - 2026) Analysis & Trends
For the trailing twelve months through Aug 1, 2026, Tax Provisions at Ulta Beauty was $388.17 million, up 0.2% year-over-year; for FY2026 (ended Jan 31, 2026), it came in at $373.87 million, down 1.3% from FY2025.
- Annual Tax Provisions shows a five-year compound annual growth rate of 46.6% (FY2021 to FY2026).
- In prior fiscal years, Ulta Beauty's Tax Provisions was $378.95 million in FY2025 (-6.4%), $404.65 million in FY2024 (+0.9%), $401.14 million in FY2023 (+29.4%) and $309.99 million in FY2022 (+461.1%).
- Quarterly Tax Provisions has run from a low of $68.54 million in fiscal Q3 2022 to a high of $126.05 million in fiscal Q4 2024 over five years.
- On a year-over-year basis, Tax Provisions increased in four of the last eight quarters, with growth averaging 1.1%.
- The strongest year-over-year quarter for Tax Provisions in the past five years was fiscal Q3 2022, with growth of 173.1%; the weakest was fiscal Q2 2025, with a decline of 15.4%.
- According to Business Quant data, Tax Provisions for the three prior fiscal quarters was $106.86 million (Q1 2027), $115.99 million (Q4 2026) and $73.44 million (Q3 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Taxes (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,828.15 Bn | 2,344.85 Bn | 104.83 Bn | 18.20 Bn |
| 2 | Home Depot | 312.02 Bn | 305.26 Bn | 16.12 Bn | 1.55 Bn |
| 3 | Tjx Companies | 160.78 Bn | 138.32 Bn | 5.07 Bn | 498.00 Mn |
| 4 | Lowes Companies | 109.83 Bn | 102.79 Bn | 8.58 Bn | 776.00 Mn |
| 5 | Ross Stores | 74.49 Bn | 57.42 Bn | 2.12 Bn | 283.46 Mn |
| 6 | O Reilly Automotive | 73.51 Bn | 72.60 Bn | 2.52 Bn | 209.01 Mn |
| 7 | Target | 69.38 Bn | 63.97 Bn | 8.94 Bn | 582.00 Mn |
| 8 | Autozone | 52.02 Bn | 50.92 Bn | 2.52 Bn | 171.78 Mn |
| 9 | Carvana | 42.62 Bn | 33.11 Bn | 1.38 Bn | 66.00 Mn |
| 10 | Ulta Beauty | 26.10 Bn | 24.96 Bn | 1.19 Bn | 91.88 Mn |
Historic Data
| Date | Value |
|---|---|
| Aug 1, 2026 | 91.88 Mn |
| May 2, 2026 | 106.86 Mn |
| Jan 31, 2026 | 115.99 Mn |
| Nov 1, 2025 | 73.44 Mn |
| Aug 2, 2025 | 84.80 Mn |
| May 3, 2025 | 99.64 Mn |
| Feb 1, 2025 | 125.05 Mn |
| Nov 2, 2024 | 78.00 Mn |
| Aug 3, 2024 | 81.17 Mn |
| May 4, 2024 | 94.74 Mn |
| Feb 3, 2024 | 126.05 Mn |
| Oct 28, 2023 | 80.24 Mn |
| Jul 29, 2023 | 95.99 Mn |
| Apr 29, 2023 | 102.37 Mn |
| Jan 28, 2023 | 111.25 Mn |
| Oct 29, 2022 | 88.12 Mn |
| Jul 30, 2022 | 95.86 Mn |
| Apr 30, 2022 | 105.91 Mn |
| Jan 29, 2022 | 85.79 Mn |
| Oct 30, 2021 | 68.54 Mn |
Ulta 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=ULTA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "tax-provisions", "ticker": "ULTA", "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=ULTA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();