Ulta Beauty (ULTA) Change in Taxes (2010 - 2026)
Ulta Beauty (ULTA) reported Change in Taxes of -$168.12 million for fiscal Q2 2027 (quarter ended Aug 1, 2026), compared with -$159.34 million a year earlier.
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Analysis
Ulta Beauty (ULTA) Change in Taxes (2010 - 2026) Analysis & Trends
Over the twelve months ended Aug 1, 2026, Ulta Beauty's Change in Taxes came in at -$6.9 million; for FY2026 (ended Jan 31, 2026), it was -$9.2 million.
- By fiscal year, Change in Taxes came in at $34.77 million in FY2025 (-23.4%), $45.37 million in FY2024, -$45.18 million in FY2023 and -$35.65 million in FY2022.
- The fiscal Q2 2027 figure ranks as the lowest quarterly Change in Taxes in data going back to fiscal Q1 2011.
- Year over year, Change in Taxes gained in three of the last four quarters, with growth averaging 41.1%.
- The high point for year-over-year Change in Taxes in five years was fiscal Q4 2024 (growth of 740.3%); the low point was fiscal Q4 2023 (a decline of 90.4%).
- Per Business Quant data, the three fiscal quarters before Q2 2027 came in at $100.01 million (Q1 2027), $58.8 million (Q4 2026) and $2.41 million (Q3 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Taxes (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,691.65 Bn | 2,208.35 Bn | 104.83 Bn | - |
| 2 | Home Depot | 325.36 Bn | 318.60 Bn | 16.12 Bn | -552.00 Mn |
| 3 | Tjx Companies | 162.54 Bn | 140.09 Bn | 5.07 Bn | 18.00 Mn |
| 4 | Lowes Companies | 114.04 Bn | 107.00 Bn | 8.58 Bn | - |
| 5 | O Reilly Automotive | 75.74 Bn | 74.83 Bn | 2.52 Bn | -34.79 Mn |
| 6 | Ross Stores | 75.07 Bn | 57.99 Bn | 2.12 Bn | -123.35 Mn |
| 7 | Target | 71.70 Bn | 66.28 Bn | 8.94 Bn | - |
| 8 | Autozone | 53.85 Bn | 52.75 Bn | 2.52 Bn | 21.04 Mn |
| 9 | Carvana | 42.25 Bn | 32.75 Bn | 1.38 Bn | - |
| 10 | Ulta Beauty | 27.31 Bn | 26.17 Bn | 1.19 Bn | -168.12 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Aug 1, 2026 | -168.12 Mn |
| May 2, 2026 | 100.01 Mn |
| Jan 31, 2026 | 58.80 Mn |
| Nov 1, 2025 | 2.41 Mn |
| Aug 2, 2025 | -159.34 Mn |
| May 3, 2025 | 88.93 Mn |
| Feb 1, 2025 | 104.59 Mn |
| Nov 2, 2024 | -9.15 Mn |
| Aug 3, 2024 | -146.32 Mn |
| May 4, 2024 | 85.65 Mn |
| Feb 3, 2024 | 35.83 Mn |
| Oct 28, 2023 | 1.34 Mn |
| Jul 29, 2023 | -88.81 Mn |
| Apr 29, 2023 | 97.00 Mn |
| Jan 28, 2023 | 4.26 Mn |
| Oct 29, 2022 | -3.54 Mn |
| Jul 30, 2022 | -147.14 Mn |
| Apr 30, 2022 | 101.24 Mn |
| Jan 29, 2022 | 44.38 Mn |
| Oct 30, 2021 | -18.95 Mn |
API Access
Ulta Beauty Change in Taxes 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-taxes&ticker=ULTA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-taxes", "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=change-in-taxes&ticker=ULTA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();