Ulta Beauty (ULTA) Receivables (2010 - 2026)
Ulta Beauty (ULTA) reported Receivables of $249.3 million for fiscal Q2 2027 (quarter ended Aug 1, 2026), up 11.1% from $224.41 million a year earlier and up 0.4% from the prior quarter.
Ulta Beauty (ULTA) Receivables (2010 - 2026) Analysis & Trends
At the end of FY2026 (ended Jan 31, 2026), Ulta Beauty posted Receivables of $296.22 million, up 32.6% from FY2025.
- Receivables has increased for three consecutive fiscal years, with a five-year compound annual growth rate of 8.9% (FY2021 to FY2026).
- By fiscal year, Receivables came in at $223.33 million in FY2025 (+7.4%), $207.94 million in FY2024 (+4.3%), $199.42 million in FY2023 (-14.7%) and $233.68 million in FY2022 (+21.0%).
- Five-year quarterly Receivables spans a low of $169.21 million in fiscal Q3 2022 and a high of $296.22 million in fiscal Q4 2026.
- Year over year, Receivables has now increased in each of the last 12 quarters, with growth averaging 12.5% over the last eight quarters.
- The high point for year-over-year Receivables in five years was fiscal Q4 2026 (growth of 32.6%); the low point was fiscal Q4 2023 (a decline of 14.7%).
- Per Business Quant data, the three fiscal quarters before Q2 2027 came in at $248.24 million (Q1 2027), $296.22 million (Q4 2026) and $237.35 million (Q3 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Receivables (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,686.58 Bn | 2,203.28 Bn | 104.83 Bn | 88.09 Bn |
| 2 | Home Depot | 283.87 Bn | 277.11 Bn | 16.12 Bn | 6.96 Bn |
| 3 | Tjx Companies | 145.82 Bn | 123.36 Bn | 5.07 Bn | 665.00 Mn |
| 4 | Lowes Companies | 103.43 Bn | 96.39 Bn | 8.58 Bn | 1.24 Bn |
| 5 | Ross Stores | 74.61 Bn | 57.54 Bn | 2.12 Bn | 248.14 Mn |
| 6 | Target | 71.16 Bn | 65.74 Bn | 8.94 Bn | - |
| 7 | O Reilly Automotive | 69.71 Bn | 68.80 Bn | 2.52 Bn | 628.51 Mn |
| 8 | Carvana | 68.78 Bn | 60.38 Bn | 1.38 Bn | 377.00 Mn |
| 9 | Autozone | 46.23 Bn | 45.13 Bn | 2.52 Bn | 764.92 Mn |
| 10 | Ulta Beauty | 23.38 Bn | 22.24 Bn | 1.19 Bn | 249.30 Mn |
Historic Data
| Date | Value |
|---|---|
| Aug 1, 2026 | 249.30 Mn |
| May 2, 2026 | 248.24 Mn |
| Jan 31, 2026 | 296.22 Mn |
| Nov 1, 2025 | 237.35 Mn |
| Aug 2, 2025 | 224.41 Mn |
| May 3, 2025 | 225.15 Mn |
| Feb 1, 2025 | 223.33 Mn |
| Nov 2, 2024 | 213.62 Mn |
| Aug 3, 2024 | 200.86 Mn |
| May 4, 2024 | 203.46 Mn |
| Feb 3, 2024 | 207.94 Mn |
| Oct 28, 2023 | 202.87 Mn |
| Jul 29, 2023 | 174.44 Mn |
| Apr 29, 2023 | 190.28 Mn |
| Jan 28, 2023 | 199.42 Mn |
| Oct 29, 2022 | 200.30 Mn |
| Jul 30, 2022 | 180.51 Mn |
| Apr 30, 2022 | 192.75 Mn |
| Jan 29, 2022 | 233.68 Mn |
| Oct 30, 2021 | 169.21 Mn |
Ulta Beauty 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=receivables&ticker=ULTA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "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=receivables&ticker=ULTA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();