Ulta Beauty (ULTA) Total Liabilities (2010 - 2026)
Ulta Beauty (ULTA) posted Total Liabilities of $4.32 billion for fiscal Q2 2027 (quarter ended Aug 1, 2026), up 7.3% from $4.03 billion a year earlier and up 0.1% from the prior quarter.
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Analysis
Ulta Beauty (ULTA) Total Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2026 (ended Jan 31, 2026), Ulta Beauty's Total Liabilities came in at $4.2 billion, up 19.4% from FY2025.
- Annual Total Liabilities has increased for 15 consecutive fiscal years, with a five-year compound annual growth rate of 6.3% (FY2021 to FY2026).
- In prior fiscal years, Ulta Beauty's Total Liabilities was $3.51 billion in FY2025 (+2.5%), $3.43 billion in FY2024 (+0.5%), $3.41 billion in FY2023 (+5.6%) and $3.23 billion in FY2022 (+4.5%).
- Quarterly Total Liabilities has run from a low of $3.18 billion in fiscal Q2 2023 to a high of $4.38 billion in fiscal Q3 2026 over five years.
- On a year-over-year basis, Total Liabilities has increased in each of the last nine quarters, with growth averaging 12.3% over the last eight quarters.
- The strongest year-over-year quarter for Total Liabilities in the past five years was fiscal Q1 2027, with growth of 21.3%; the weakest was fiscal Q1 2025, with a decline of 0.8%.
- According to Business Quant data, Total Liabilities for the three prior fiscal quarters was $4.31 billion (Q1 2027), $4.2 billion (Q4 2026) and $4.38 billion (Q3 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,686.58 Bn | 2,203.28 Bn | 104.83 Bn | 544.07 Bn |
| 2 | Home Depot | 283.87 Bn | 277.11 Bn | 16.12 Bn | 92.77 Bn |
| 3 | Tjx Companies | 145.82 Bn | 123.36 Bn | 5.07 Bn | 26.46 Bn |
| 4 | Lowes Companies | 103.43 Bn | 96.39 Bn | 8.58 Bn | 63.32 Bn |
| 5 | Ross Stores | 74.61 Bn | 57.54 Bn | 2.12 Bn | 9.24 Bn |
| 6 | Target | 71.16 Bn | 65.74 Bn | 8.94 Bn | 43.39 Bn |
| 7 | O Reilly Automotive | 69.71 Bn | 68.80 Bn | 2.52 Bn | 19.22 Bn |
| 8 | Carvana | 68.78 Bn | 60.38 Bn | 1.38 Bn | 9.41 Bn |
| 9 | Autozone | 46.23 Bn | 45.13 Bn | 2.52 Bn | 23.70 Bn |
| 10 | Ulta Beauty | 23.38 Bn | 22.24 Bn | 1.19 Bn | 4.32 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Aug 1, 2026 | 4.32 Bn |
| May 2, 2026 | 4.31 Bn |
| Jan 31, 2026 | 4.20 Bn |
| Nov 1, 2025 | 4.38 Bn |
| Aug 2, 2025 | 4.03 Bn |
| May 3, 2025 | 3.56 Bn |
| Feb 1, 2025 | 3.51 Bn |
| Nov 2, 2024 | 3.63 Bn |
| Aug 3, 2024 | 3.39 Bn |
| May 4, 2024 | 3.33 Bn |
| Feb 3, 2024 | 3.43 Bn |
| Oct 28, 2023 | 3.57 Bn |
| Jul 29, 2023 | 3.20 Bn |
| Apr 29, 2023 | 3.36 Bn |
| Jan 28, 2023 | 3.41 Bn |
| Oct 29, 2022 | 3.41 Bn |
| Jul 30, 2022 | 3.18 Bn |
| Apr 30, 2022 | 3.27 Bn |
| Jan 29, 2022 | 3.23 Bn |
| Oct 30, 2021 | 3.30 Bn |
API Access
Ulta Beauty Total Liabilities 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=total-liabilities&ticker=ULTA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=ULTA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();