Ulta Beauty (ULTA) Capital Expenditures (2010 - 2026)
Ulta Beauty's Capital Expenditures came in at $81.26 million for fiscal Q2 2027 (quarter ended Aug 1, 2026), up 5.6% from $76.96 million a year earlier and up 39.4% from the prior quarter.
Ulta Beauty (ULTA) Capital Expenditures (2010 - 2026) Analysis & Trends
Over the trailing twelve months to Aug 1, 2026, Ulta Beauty reported Capital Expenditures of $418.38 million, up 21.6% year-over-year; for FY2026 (ended Jan 31, 2026), it came in at $434.83 million, up 16.1% from FY2025.
- Capital Expenditures carries a five-year compound annual growth rate of 23.4% (FY2021 to FY2026).
- Going back by fiscal year, Capital Expenditures was $374.46 million in FY2025 (-14.0%), $435.27 million in FY2024 (+39.5%), $312.13 million in FY2023 (+81.3%) and $172.19 million in FY2022 (+13.4%).
- The five-year range for quarterly Capital Expenditures is $49.42 million (fiscal Q2 2023) to $191.57 million (fiscal Q4 2026).
- Year-over-year, Capital Expenditures increased in three of the last eight quarters, with growth averaging 6.2%.
- The fastest year-over-year change in Capital Expenditures over five years came in fiscal Q4 2026 (growth of 159.1%), and the weakest in fiscal Q4 2025 (a decline of 40.5%).
- Business Quant data shows ULTA's Capital Expenditures at $58.28 million (Q1 2027), $191.57 million (Q4 2026) and $87.27 million (Q3 2026) in the three fiscal quarters before Q2 2027.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Capex (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,686.58 Bn | 2,203.28 Bn | 104.83 Bn | 54.21 Bn |
| 2 | Home Depot | 283.87 Bn | 277.11 Bn | 16.12 Bn | 880.00 Mn |
| 3 | Tjx Companies | 145.82 Bn | 123.36 Bn | 5.07 Bn | 497.00 Mn |
| 4 | Lowes Companies | 103.43 Bn | 96.39 Bn | 8.58 Bn | 542.00 Mn |
| 5 | Ross Stores | 74.61 Bn | 57.54 Bn | 2.12 Bn | 251.26 Mn |
| 6 | Target | 71.16 Bn | 65.74 Bn | 8.94 Bn | 1.37 Bn |
| 7 | O Reilly Automotive | 69.71 Bn | 68.80 Bn | 2.52 Bn | 307.60 Mn |
| 8 | Carvana | 68.78 Bn | 60.38 Bn | 1.38 Bn | 51.00 Mn |
| 9 | Autozone | 46.23 Bn | 45.13 Bn | 2.52 Bn | 345.51 Mn |
| 10 | Ulta Beauty | 23.38 Bn | 22.24 Bn | 1.19 Bn | 81.26 Mn |
Historic Data
| Date | Value |
|---|---|
| Aug 1, 2026 | 81.26 Mn |
| May 2, 2026 | 58.28 Mn |
| Jan 31, 2026 | 191.57 Mn |
| Nov 1, 2025 | 87.27 Mn |
| Aug 2, 2025 | 76.96 Mn |
| May 3, 2025 | 79.03 Mn |
| Feb 1, 2025 | 73.92 Mn |
| Nov 2, 2024 | 114.24 Mn |
| Aug 3, 2024 | 95.28 Mn |
| May 4, 2024 | 91.02 Mn |
| Feb 3, 2024 | 124.24 Mn |
| Oct 28, 2023 | 106.28 Mn |
| Jul 29, 2023 | 94.98 Mn |
| Apr 29, 2023 | 109.77 Mn |
| Jan 28, 2023 | 108.17 Mn |
| Oct 29, 2022 | 83.46 Mn |
| Jul 30, 2022 | 49.42 Mn |
| Apr 30, 2022 | 71.08 Mn |
| Jan 29, 2022 | 63.77 Mn |
| Oct 30, 2021 | 51.11 Mn |
Ulta Beauty Capital Expenditures 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=capital-expenditures&ticker=ULTA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "capital-expenditures", "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=capital-expenditures&ticker=ULTA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();