Ulta Beauty (ULTA) Accumulated Expenses (2010 - 2026)
Ulta Beauty (ULTA) reported Accumulated Expenses of $440.44 million for fiscal Q2 2027 (quarter ended Aug 1, 2026), down 4.3% from $460.23 million a year earlier and down 4.7% from the prior quarter.
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Analysis
Ulta Beauty (ULTA) Accumulated Expenses (2010 - 2026) Analysis & Trends
At the end of FY2026 (ended Jan 31, 2026), Ulta Beauty posted Accumulated Expenses of $551.38 million, up 45.0% from FY2025.
- Accumulated Expenses has a five-year compound annual growth rate of 13.2% (FY2021 to FY2026).
- By fiscal year, Accumulated Expenses came in at $380.24 million in FY2025 (-0.6%), $382.47 million in FY2024 (-13.9%), $444.28 million in FY2023 (+21.8%) and $364.8 million in FY2022 (+23.1%).
- The fiscal Q2 2027 figure ranks as the lowest quarterly Accumulated Expenses since fiscal Q1 2026.
- Year over year, Accumulated Expenses gained in five of the last eight quarters, with growth averaging 16.8%.
- The high point for year-over-year Accumulated Expenses in five years was fiscal Q4 2026 (growth of 45.0%); the low point was fiscal Q3 2025 (a decline of 17.8%).
- Per Business Quant data, the three fiscal quarters before Q2 2027 came in at $462.07 million (Q1 2027), $551.38 million (Q4 2026) and $473.95 million (Q3 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Amazon Com | 2,721.33 Bn | 2,238.02 Bn | 104.83 Bn |
| 2 | Home Depot | 323.37 Bn | 316.61 Bn | 16.12 Bn |
| 3 | Tjx Companies | 162.45 Bn | 140.00 Bn | 5.07 Bn |
| 4 | Lowes Companies | 114.11 Bn | 107.07 Bn | 8.58 Bn |
| 5 | O Reilly Automotive | 75.24 Bn | 74.33 Bn | 2.52 Bn |
| 6 | Ross Stores | 74.50 Bn | 57.43 Bn | 2.12 Bn |
| 7 | Target | 70.24 Bn | 64.83 Bn | 8.94 Bn |
| 8 | Autozone | 53.28 Bn | 52.19 Bn | 2.52 Bn |
| 9 | Carvana | 42.43 Bn | 32.92 Bn | 1.38 Bn |
| 10 | Ulta Beauty | 27.17 Bn | 26.04 Bn | 1.19 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Aug 1, 2026 | 440.44 Mn |
| May 2, 2026 | 462.07 Mn |
| Jan 31, 2026 | 551.38 Mn |
| Nov 1, 2025 | 473.95 Mn |
| Aug 2, 2025 | 460.23 Mn |
| May 3, 2025 | 346.96 Mn |
| Feb 1, 2025 | 380.24 Mn |
| Nov 2, 2024 | 333.46 Mn |
| Aug 3, 2024 | 348.04 Mn |
| May 4, 2024 | 332.69 Mn |
| Feb 3, 2024 | 382.47 Mn |
| Oct 28, 2023 | 405.44 Mn |
| Jul 29, 2023 | 328.25 Mn |
| Apr 29, 2023 | 308.58 Mn |
| Jan 28, 2023 | 444.28 Mn |
| Oct 29, 2022 | 462.77 Mn |
| Jul 30, 2022 | 323.94 Mn |
| Apr 30, 2022 | 305.00 Mn |
| Jan 29, 2022 | 364.80 Mn |
| Oct 30, 2021 | 329.67 Mn |
API Access
Ulta Beauty Accumulated Expenses 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=accumulated-expenses&ticker=ULTA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "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=accumulated-expenses&ticker=ULTA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();