Victoria's Secret (VSXY) Change in Inventory (2020 - 2026)
Victoria's Secret (VSXY) recorded Change in Inventory of $50 million in fiscal Q2 2027 (quarter ended Aug 1, 2026), up 257.1% from $14 million a year earlier and up 92.3% from the prior quarter.
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Analysis
Victoria's Secret (VSXY) Change in Inventory (2020 - 2026) Analysis & Trends
On a TTM basis, Victoria's Secret's Change in Inventory came in at $88 million as of Aug 1, 2026, up 137.8% year-over-year; for FY2026 (ended Jan 31, 2026), it was $112 million.
- Across earlier fiscal years, Change in Inventory came in at -$29 million in FY2025, -$36 million in FY2024 and $247 million in FY2022.
- Quarterly Change in Inventory has ranged from -$334 million in fiscal Q4 2025 to $320 million in fiscal Q3 2026 over the past five years.
- On a year-over-year basis, Change in Inventory rose in three of the last five quarters, with growth averaging 40.1%.
- Peak year-over-year performance for Change in Inventory in the last five years was growth of 357.1% in fiscal Q2 2025, against a decline of 82.5% in fiscal Q2 2024 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $26 million (Q1 2027), -$308 million (Q4 2026) and $320 million (Q3 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Inventory (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,686.58 Bn | 2,203.28 Bn | 104.83 Bn | 1.82 Bn |
| 2 | Home Depot | 283.87 Bn | 277.11 Bn | 16.12 Bn | -604.00 Mn |
| 3 | Tjx Companies | 145.82 Bn | 123.36 Bn | 5.07 Bn | 221.00 Mn |
| 4 | Lowes Companies | 103.43 Bn | 96.39 Bn | 8.58 Bn | -709.00 Mn |
| 5 | Ross Stores | 74.61 Bn | 57.54 Bn | 2.12 Bn | 110.41 Mn |
| 6 | Target | 71.16 Bn | 65.74 Bn | 8.94 Bn | 932.00 Mn |
| 7 | O Reilly Automotive | 69.71 Bn | 68.80 Bn | 2.52 Bn | 160.24 Mn |
| 8 | Carvana | 68.78 Bn | 60.38 Bn | 1.38 Bn | 586.00 Mn |
| 9 | Autozone | 46.23 Bn | 45.13 Bn | 2.52 Bn | 104.14 Mn |
| 10 | Victoria's Secret | 7.07 Bn | 5.64 Bn | 759.00 Mn | 50.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Aug 1, 2026 | 50.00 Mn |
| May 2, 2026 | 26.00 Mn |
| Jan 31, 2026 | -308.00 Mn |
| Nov 1, 2025 | 320.00 Mn |
| Aug 2, 2025 | 14.00 Mn |
| May 3, 2025 | 86.00 Mn |
| Feb 1, 2025 | -334.00 Mn |
| Nov 2, 2024 | 271.00 Mn |
| Aug 3, 2024 | 32.00 Mn |
| May 4, 2024 | 2.00 Mn |
| Feb 3, 2024 | -220.00 Mn |
| Oct 28, 2023 | 179.00 Mn |
| Jul 29, 2023 | 7.00 Mn |
| Apr 29, 2023 | -2.00 Mn |
| Jan 28, 2023 | -298.00 Mn |
| Oct 29, 2022 | 160.00 Mn |
| Jul 30, 2022 | 40.00 Mn |
| Apr 30, 2022 | 98.00 Mn |
| Jan 29, 2022 | -71.00 Mn |
| Oct 30, 2021 | 274.00 Mn |
API Access
Victoria's Secret Change in Inventory 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-inventory&ticker=VSXY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-inventory", "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=change-in-inventory&ticker=VSXY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();