Ulta Beauty (ULTA) Change in Receivables (2010 - 2026)
Ulta Beauty's Change in Receivables was $832,000 in fiscal Q2 2027 (quarter ended Aug 1, 2026), compared with -$1.61 million a year earlier.
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Analysis
Ulta Beauty (ULTA) Change in Receivables (2010 - 2026) Analysis & Trends
On a trailing twelve-month basis, Ulta Beauty's Change in Receivables was $24.05 million through Aug 1, 2026, up 6.1% year-over-year; for FY2026 (ended Jan 31, 2026), it was $71.38 million, up 363.6% from FY2025.
- Change in Receivables shows a five-year compound annual growth rate of 5.8% (FY2021 to FY2026).
- In earlier fiscal years, Change in Receivables was $15.4 million in FY2025 (+80.8%), $8.52 million in FY2024, -$34.26 million in FY2023 and $40.57 million in FY2022 (-24.5%).
- Quarterly Change in Receivables has moved between -$47.96 million (fiscal Q1 2027) and $64.47 million (fiscal Q4 2022) over five years.
- Compared with a year earlier, Change in Receivables was higher in three of the last four quarters, with growth averaging 134.4%.
- The best year-over-year quarter for Change in Receivables over five years was fiscal Q4 2026 (growth of 499.6%); the worst was fiscal Q3 2025 (a decline of 55.1%).
- Per Business Quant data, ULTA's Change in Receivables in the three fiscal quarters before Q2 2027 was -$47.96 million (Q1 2027), $58.24 million (Q4 2026) and $12.94 million (Q3 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Receivables (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,828.15 Bn | 2,344.85 Bn | 104.83 Bn | 8.20 Bn |
| 2 | Home Depot | 312.02 Bn | 305.26 Bn | 16.12 Bn | 204.00 Mn |
| 3 | Tjx Companies | 160.78 Bn | 138.32 Bn | 5.07 Bn | 26.00 Mn |
| 4 | Lowes Companies | 109.83 Bn | 102.79 Bn | 8.58 Bn | 94.00 Mn |
| 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 | 29.54 Mn |
| 7 | Target | 69.38 Bn | 63.97 Bn | 8.94 Bn | - |
| 8 | Autozone | 52.02 Bn | 50.92 Bn | 2.52 Bn | 66.27 Mn |
| 9 | Carvana | 42.62 Bn | 33.11 Bn | 1.38 Bn | 41.00 Mn |
| 10 | Ulta Beauty | 26.10 Bn | 24.96 Bn | 1.19 Bn | 832,000.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Aug 1, 2026 | 832,000.00 |
| May 2, 2026 | -47.96 Mn |
| Jan 31, 2026 | 58.24 Mn |
| Nov 1, 2025 | 12.94 Mn |
| Aug 2, 2025 | -1.61 Mn |
| May 3, 2025 | 1.81 Mn |
| Feb 1, 2025 | 9.71 Mn |
| Nov 2, 2024 | 12.76 Mn |
| Aug 3, 2024 | -2.60 Mn |
| May 4, 2024 | -4.48 Mn |
| Feb 3, 2024 | 5.07 Mn |
| Oct 28, 2023 | 28.42 Mn |
| Jul 29, 2023 | -15.84 Mn |
| Apr 29, 2023 | -9.14 Mn |
| Jan 28, 2023 | -882,000.00 |
| Oct 29, 2022 | 19.79 Mn |
| Jul 30, 2022 | -12.24 Mn |
| Apr 30, 2022 | -40.93 Mn |
| Jan 29, 2022 | 64.47 Mn |
| Oct 30, 2021 | 14.80 Mn |
API Access
Ulta Beauty Change in Receivables 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=change-in-receivables&ticker=ULTA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-receivables", "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=change-in-receivables&ticker=ULTA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();