Victoria's Secret (VSXY) Cash & Equivalents (2020 - 2026)
Victoria's Secret (VSXY) recorded Cash & Equivalents of $522 million in fiscal Q2 2027 (quarter ended Aug 1, 2026), up 177.7% from $188 million a year earlier and up 152.2% from the prior quarter.
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Analysis
Victoria's Secret (VSXY) Cash & Equivalents (2020 - 2026) Analysis & Trends
At the end of FY2026 (ended Jan 31, 2026), Victoria's Secret reported Cash & Equivalents of $518 million, up 128.2% from FY2025.
- Annual Cash & Equivalents has a five-year compound annual growth rate of 9.1% (FY2021 to FY2026).
- Across earlier fiscal years, Cash & Equivalents came in at $227 million in FY2025 (-15.9%), $270 million in FY2024 (-36.8%), $427 million in FY2023 (-12.9%) and $490 million in FY2022 (+46.3%).
- The fiscal Q2 2027 figure is the highest quarterly Cash & Equivalents in data going back to fiscal Q2 2021.
- On a year-over-year basis, Cash & Equivalents has increased for six consecutive quarters, with growth averaging 58.4% over the last eight quarters.
- Peak year-over-year performance for Cash & Equivalents in the last five years was growth of 177.7% in fiscal Q2 2027, against a decline of 61.9% in fiscal Q3 2023 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $207 million (Q1 2027), $518 million (Q4 2026) and $249 million (Q3 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,712.14 Bn | 2,228.84 Bn | 104.83 Bn | 78.21 Bn |
| 2 | Home Depot | 282.27 Bn | 275.52 Bn | 16.12 Bn | 2.09 Bn |
| 3 | Tjx Companies | 146.16 Bn | 123.70 Bn | 5.07 Bn | 6.00 Bn |
| 4 | Lowes Companies | 101.42 Bn | 94.39 Bn | 8.58 Bn | 3.17 Bn |
| 5 | Ross Stores | 73.06 Bn | 55.98 Bn | 2.12 Bn | 4.29 Bn |
| 6 | Target | 70.86 Bn | 65.45 Bn | 8.94 Bn | - |
| 7 | Carvana | 70.11 Bn | 61.71 Bn | 1.38 Bn | 2.63 Bn |
| 8 | O Reilly Automotive | 69.29 Bn | 68.38 Bn | 2.52 Bn | 262.18 Mn |
| 9 | Autozone | 45.61 Bn | 44.51 Bn | 2.52 Bn | 253.73 Mn |
| 10 | Victoria's Secret | 7.34 Bn | 5.91 Bn | 759.00 Mn | 522.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Aug 1, 2026 | 522.00 Mn |
| May 2, 2026 | 207.00 Mn |
| Jan 31, 2026 | 518.00 Mn |
| Nov 1, 2025 | 249.00 Mn |
| Aug 2, 2025 | 188.00 Mn |
| May 3, 2025 | 138.00 Mn |
| Feb 1, 2025 | 227.00 Mn |
| Nov 2, 2024 | 161.00 Mn |
| Aug 3, 2024 | 169.00 Mn |
| May 4, 2024 | 105.00 Mn |
| Feb 3, 2024 | 270.00 Mn |
| Oct 28, 2023 | 124.00 Mn |
| Jul 29, 2023 | 131.00 Mn |
| Apr 29, 2023 | 132.00 Mn |
| Jan 28, 2023 | 427.00 Mn |
| Oct 29, 2022 | 126.00 Mn |
| Jul 30, 2022 | 201.00 Mn |
| Apr 30, 2022 | 204.00 Mn |
| Jan 29, 2022 | 490.00 Mn |
| Oct 30, 2021 | 331.00 Mn |
API Access
Victoria's Secret Cash & Equivalents 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=cash-and-equivalents&ticker=VSXY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=VSXY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();