Ulta Beauty (ULTA) Other Operating Expenses (2010 - 2026)
Ulta Beauty's Other Operating Expenses was $4.53 million in fiscal Q2 2027 (quarter ended Aug 1, 2026), down 11.3% from $5.11 million a year earlier and down 3.0% from the prior quarter.
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Analysis
Ulta Beauty (ULTA) Other Operating Expenses (2010 - 2026) Analysis & Trends
On a trailing twelve-month basis, Ulta Beauty's Other Operating Expenses was $18.08 million through Aug 1, 2026, up 33.4% year-over-year; for FY2026 (ended Jan 31, 2026), it came in at $15.82 million, up 15.6% from FY2025.
- Other Operating Expenses shows a five-year compound annual growth rate of 1.1% (FY2021 to FY2026).
- In earlier fiscal years, Other Operating Expenses was $13.69 million in FY2025 (+60.9%), $8.51 million in FY2024 (-19.7%), $10.6 million in FY2023 (+11.4%) and $9.52 million in FY2022 (-36.6%).
- Quarterly Other Operating Expenses has moved between $658,000 (fiscal Q1 2024) and $5.33 million (fiscal Q3 2026) over five years.
- Compared with a year earlier, Other Operating Expenses was higher in five of the last eight quarters, with growth averaging 30.1%.
- The best year-over-year quarter for Other Operating Expenses over five years was fiscal Q1 2025 (growth of 343.6%); the worst was fiscal Q1 2024 (a decline of 72.0%).
- Per Business Quant data, ULTA's Other Operating Expenses in the three fiscal quarters before Q2 2027 was $4.67 million (Q1 2027), $3.56 million (Q4 2026) and $5.33 million (Q3 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Amazon Com | 2,686.58 Bn | 2,203.28 Bn | 104.83 Bn |
| 2 | Home Depot | 283.87 Bn | 277.11 Bn | 16.12 Bn |
| 3 | Tjx Companies | 145.82 Bn | 123.36 Bn | 5.07 Bn |
| 4 | Lowes Companies | 103.43 Bn | 96.39 Bn | 8.58 Bn |
| 5 | Ross Stores | 74.61 Bn | 57.54 Bn | 2.12 Bn |
| 6 | Target | 71.16 Bn | 65.74 Bn | 8.94 Bn |
| 7 | O Reilly Automotive | 69.71 Bn | 68.80 Bn | 2.52 Bn |
| 8 | Carvana | 68.78 Bn | 60.38 Bn | 1.38 Bn |
| 9 | Autozone | 46.23 Bn | 45.13 Bn | 2.52 Bn |
| 10 | Ulta Beauty | 23.38 Bn | 22.24 Bn | 1.19 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Aug 1, 2026 | 4.53 Mn |
| May 2, 2026 | 4.67 Mn |
| Jan 31, 2026 | 3.56 Mn |
| Nov 1, 2025 | 5.33 Mn |
| Aug 2, 2025 | 5.11 Mn |
| May 3, 2025 | 1.83 Mn |
| Feb 1, 2025 | 1.73 Mn |
| Nov 2, 2024 | 4.88 Mn |
| Aug 3, 2024 | 4.16 Mn |
| May 4, 2024 | 2.92 Mn |
| Feb 3, 2024 | 3.11 Mn |
| Oct 28, 2023 | 3.46 Mn |
| Jul 29, 2023 | 1.28 Mn |
| Apr 29, 2023 | 658,000.00 |
| Jan 28, 2023 | 2.18 Mn |
| Oct 29, 2022 | 3.80 Mn |
| Jul 30, 2022 | 2.28 Mn |
| Apr 30, 2022 | 2.35 Mn |
| Jan 29, 2022 | 1.74 Mn |
| Oct 30, 2021 | 1.83 Mn |
API Access
Ulta Beauty Other Operating 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=other-operating-expenses&ticker=ULTA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-operating-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=other-operating-expenses&ticker=ULTA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();