Victoria's Secret (VSXY) Receivables (2020 - 2026)
Victoria's Secret (VSXY) posted Receivables of $171 million for fiscal Q2 2027 (quarter ended Aug 1, 2026), up 3.0% from $166 million a year earlier but down 7.6% from the prior quarter.
Powered by 
Analysis
Victoria's Secret (VSXY) Receivables (2020 - 2026) Analysis & Trends
At the end of FY2026 (ended Jan 31, 2026), Victoria's Secret's Receivables came in at $186 million, up 17.0% from FY2025.
- Annual Receivables has increased for three consecutive fiscal years, with a five-year compound annual growth rate of 9.0% (FY2021 to FY2026).
- In prior fiscal years, Victoria's Secret's Receivables was $159 million in FY2025 (+4.6%), $152 million in FY2024 (+7.8%), $141 million in FY2023 (-13.0%) and $162 million in FY2022 (+33.9%).
- Quarterly Receivables has run from a low of $126 million in fiscal Q1 2024 to a high of $190 million in fiscal Q3 2026 over five years.
- On a year-over-year basis, Receivables has increased in each of the last 11 quarters, with growth averaging 10.6% over the last eight quarters.
- The strongest year-over-year quarter for Receivables in the past five years was fiscal Q2 2023, with growth of 50.5%; the weakest was fiscal Q3 2024, with a decline of 24.5%.
- According to Business Quant data, Receivables for the three prior fiscal quarters was $185 million (Q1 2027), $186 million (Q4 2026) and $190 million (Q3 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Receivables (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,882.37 Bn | 2,379.04 Bn | 107.37 Bn | 98.24 Bn |
| 2 | Home Depot | 352.74 Bn | 345.98 Bn | 16.12 Bn | 6.96 Bn |
| 3 | Tjx Companies | 160.17 Bn | 137.71 Bn | 5.07 Bn | 665.00 Mn |
| 4 | Lowes Companies | 128.29 Bn | 121.25 Bn | 8.58 Bn | 1.24 Bn |
| 5 | Ross Stores | 78.33 Bn | 61.25 Bn | 2.12 Bn | 248.14 Mn |
| 6 | O Reilly Automotive | 76.31 Bn | 75.40 Bn | 2.52 Bn | 628.51 Mn |
| 7 | Target | 74.04 Bn | 68.63 Bn | 8.94 Bn | - |
| 8 | Carvana | 56.03 Bn | 45.61 Bn | 1.52 Bn | 320.00 Mn |
| 9 | Autozone | 54.86 Bn | 53.71 Bn | 3.52 Bn | 755.03 Mn |
| 10 | Victoria's Secret | 8.72 Bn | 7.22 Bn | 759.00 Mn | 171.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Aug 1, 2026 | 171.00 Mn |
| May 2, 2026 | 185.00 Mn |
| Jan 31, 2026 | 186.00 Mn |
| Nov 1, 2025 | 190.00 Mn |
| Aug 2, 2025 | 166.00 Mn |
| May 3, 2025 | 153.00 Mn |
| Feb 1, 2025 | 159.00 Mn |
| Nov 2, 2024 | 163.00 Mn |
| Aug 3, 2024 | 158.00 Mn |
| May 4, 2024 | 152.00 Mn |
| Feb 3, 2024 | 152.00 Mn |
| Oct 28, 2023 | 139.00 Mn |
| Jul 29, 2023 | 140.00 Mn |
| Apr 29, 2023 | 126.00 Mn |
| Jan 28, 2023 | 141.00 Mn |
| Oct 29, 2022 | 184.00 Mn |
| Jul 30, 2022 | 149.00 Mn |
| Apr 30, 2022 | 152.00 Mn |
| Jan 29, 2022 | 162.00 Mn |
| Oct 30, 2021 | 145.00 Mn |
API Access
Victoria's Secret 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=VSXY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables", "ticker": "VSXY", "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=VSXY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();