Ulta Beauty (ULTA) EBITDA (2010 - 2026)
Ulta Beauty (ULTA) recorded EBITDA of $460.97 million in fiscal Q2 2027 (quarter ended Aug 1, 2026), up 10.8% from $416.02 million a year earlier but down 13.0% from the prior quarter.
Ulta Beauty (ULTA) EBITDA (2010 - 2026) Analysis & Trends
On a TTM basis, Ulta Beauty's EBITDA came in at $1.93 billion as of Aug 1, 2026, up 3.9% year-over-year; for FY2026 (ended Jan 31, 2026), it was $1.83 billion, up 0.1% from FY2025.
- Annual EBITDA has a five-year compound annual growth rate of 28.0% (FY2021 to FY2026).
- Across earlier fiscal years, EBITDA came in at $1.83 billion in FY2025 (-4.7%), $1.92 billion in FY2024 (+2.2%), $1.88 billion in FY2023 (+20.1%) and $1.57 billion in FY2022 (+192.9%).
- Quarterly EBITDA has ranged from $349.4 million in fiscal Q3 2022 to $586.29 million in fiscal Q4 2025 over the past five years.
- On a year-over-year basis, EBITDA rose in five of the last eight quarters, with growth averaging 3.2%.
- Peak year-over-year performance for EBITDA in the last five years was growth of 101.2% in fiscal Q3 2022, against a decline of 13.0% in fiscal Q2 2025 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $529.66 million (Q1 2027), $558.73 million (Q4 2026) and $385.21 million (Q3 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,686.58 Bn | 2,203.28 Bn | 104.83 Bn | 47.45 Bn |
| 2 | Home Depot | 283.87 Bn | 277.11 Bn | 16.12 Bn | 7.95 Bn |
| 3 | Tjx Companies | 145.82 Bn | 123.36 Bn | 5.07 Bn | 2.33 Bn |
| 4 | Lowes Companies | 103.43 Bn | 96.39 Bn | 8.58 Bn | 4.20 Bn |
| 5 | Ross Stores | 74.61 Bn | 57.54 Bn | 2.12 Bn | 1.24 Bn |
| 6 | Target | 71.16 Bn | 65.74 Bn | 8.94 Bn | 3.34 Bn |
| 7 | O Reilly Automotive | 69.71 Bn | 68.80 Bn | 2.52 Bn | 1.12 Bn |
| 8 | Carvana | 68.78 Bn | 60.38 Bn | 1.38 Bn | 749.00 Mn |
| 9 | Autozone | 46.23 Bn | 45.13 Bn | 2.52 Bn | 1.08 Bn |
| 10 | Ulta Beauty | 23.38 Bn | 22.24 Bn | 1.19 Bn | 460.97 Mn |
Historic Data
| Date | Value |
|---|---|
| Aug 1, 2026 | 460.97 Mn |
| May 2, 2026 | 529.66 Mn |
| Jan 31, 2026 | 558.73 Mn |
| Nov 1, 2025 | 385.21 Mn |
| Aug 2, 2025 | 416.02 Mn |
| May 3, 2025 | 473.81 Mn |
| Feb 1, 2025 | 586.29 Mn |
| Nov 2, 2024 | 385.52 Mn |
| Aug 3, 2024 | 394.52 Mn |
| May 4, 2024 | 465.69 Mn |
| Feb 3, 2024 | 579.66 Mn |
| Oct 28, 2023 | 388.64 Mn |
| Jul 29, 2023 | 453.56 Mn |
| Apr 29, 2023 | 500.02 Mn |
| Jan 28, 2023 | 506.81 Mn |
| Oct 29, 2022 | 420.32 Mn |
| Jul 30, 2022 | 452.31 Mn |
| Apr 30, 2022 | 500.55 Mn |
| Jan 29, 2022 | 439.35 Mn |
| Oct 30, 2021 | 349.40 Mn |
Ulta Beauty EBITDA 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=ebitda&ticker=ULTA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=ULTA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();