Ulta Beauty (ULTA) Other Non-Current Liabilities (2010 - 2026)
Ulta Beauty (ULTA) posted Other Non-Current Liabilities of $67.72 million for fiscal Q2 2027 (quarter ended Aug 1, 2026), up 11.5% from $60.73 million a year earlier and up 11.0% from the prior quarter.
Ulta Beauty (ULTA) Other Non-Current Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2026 (ended Jan 31, 2026), Ulta Beauty's Other Non-Current Liabilities came in at $59.63 million, up 6.2% from FY2025.
- Annual Other Non-Current Liabilities shows a five-year compound annual growth rate of 9.5% (FY2021 to FY2026).
- In prior fiscal years, Ulta Beauty's Other Non-Current Liabilities was $56.15 million in FY2025 (-0.3%), $56.3 million in FY2024 (+5.0%), $53.6 million in FY2023 (-8.6%) and $58.67 million in FY2022 (+54.5%).
- The fiscal Q2 2027 figure stands as the highest quarterly Other Non-Current Liabilities since fiscal Q4 2019.
- On a year-over-year basis, Other Non-Current Liabilities has increased in each of the last three quarters, with growth averaging 3.7% over the last eight quarters.
- The strongest year-over-year quarter for Other Non-Current Liabilities in the past five years was fiscal Q4 2022, with growth of 54.5%; the weakest was fiscal Q4 2023, with a decline of 8.6%.
- According to Business Quant data, Other Non-Current Liabilities for the three prior fiscal quarters was $61.02 million (Q1 2027), $59.63 million (Q4 2026) and $63.4 million (Q3 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Amazon Com | 2,828.15 Bn | 2,344.85 Bn | 104.83 Bn |
| 2 | Home Depot | 312.02 Bn | 305.26 Bn | 16.12 Bn |
| 3 | Tjx Companies | 160.78 Bn | 138.32 Bn | 5.07 Bn |
| 4 | Lowes Companies | 109.83 Bn | 102.79 Bn | 8.58 Bn |
| 5 | Ross Stores | 74.49 Bn | 57.42 Bn | 2.12 Bn |
| 6 | O Reilly Automotive | 73.51 Bn | 72.60 Bn | 2.52 Bn |
| 7 | Target | 69.38 Bn | 63.97 Bn | 8.94 Bn |
| 8 | Autozone | 52.02 Bn | 50.92 Bn | 2.52 Bn |
| 9 | Carvana | 42.62 Bn | 33.11 Bn | 1.38 Bn |
| 10 | Ulta Beauty | 26.10 Bn | 24.96 Bn | 1.19 Bn |
Historic Data
| Date | Value |
|---|---|
| Aug 1, 2026 | 67.72 Mn |
| May 2, 2026 | 61.02 Mn |
| Jan 31, 2026 | 59.63 Mn |
| Nov 1, 2025 | 63.40 Mn |
| Aug 2, 2025 | 60.73 Mn |
| May 3, 2025 | 57.08 Mn |
| Feb 1, 2025 | 56.15 Mn |
| Nov 2, 2024 | 65.02 Mn |
| Aug 3, 2024 | 61.86 Mn |
| May 4, 2024 | 60.96 Mn |
| Feb 3, 2024 | 56.30 Mn |
| Oct 28, 2023 | 55.91 Mn |
| Jul 29, 2023 | 56.66 Mn |
| Apr 29, 2023 | 56.01 Mn |
| Jan 28, 2023 | 53.60 Mn |
| Oct 29, 2022 | 51.64 Mn |
| Jul 30, 2022 | 52.84 Mn |
| Apr 30, 2022 | 57.61 Mn |
| Jan 29, 2022 | 58.67 Mn |
| Oct 30, 2021 | 43.66 Mn |
Ulta Beauty Other Non-Current 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=other-non-current-liabilities&ticker=ULTA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-non-current-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=other-non-current-liabilities&ticker=ULTA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();