Victoria's Secret (VSXY) Inventory (2020 - 2026)
Victoria's Secret (VSXY) reported Inventory of $1.15 billion for fiscal Q2 2027 (quarter ended Aug 1, 2026), up 8.3% from $1.06 billion a year earlier and up 4.4% from the prior quarter.
Victoria's Secret (VSXY) Inventory (2020 - 2026) Analysis & Trends
At the end of FY2026 (ended Jan 31, 2026), Victoria's Secret posted Inventory of $1.07 billion, up 12.1% from FY2025.
- Inventory has a five-year compound annual growth rate of 8.8% (FY2021 to FY2026).
- By fiscal year, Inventory came in at $955 million in FY2025 (-3.0%), $985 million in FY2024 (-6.4%), $1.05 billion in FY2023 (+10.9%) and $949 million in FY2022 (+35.4%).
- Five-year quarterly Inventory spans a low of $949 million in fiscal Q4 2022 and a high of $1.38 billion in fiscal Q3 2026.
- Year over year, Inventory has now increased in each of the last six quarters, with growth averaging 5.7% over the last eight quarters.
- The high point for year-over-year Inventory in five years was fiscal Q2 2023 (growth of 45.8%); the low point was fiscal Q4 2024 (a decline of 6.4%).
- Per Business Quant data, the three fiscal quarters before Q2 2027 came in at $1.1 billion (Q1 2027), $1.07 billion (Q4 2026) and $1.38 billion (Q3 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Inventory (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,659.84 Bn | 2,176.54 Bn | 104.83 Bn | 38.18 Bn |
| 2 | Home Depot | 287.59 Bn | 280.83 Bn | 16.12 Bn | 26.85 Bn |
| 3 | Tjx Companies | 147.38 Bn | 124.93 Bn | 5.07 Bn | 7.86 Bn |
| 4 | Lowes Companies | 105.03 Bn | 97.99 Bn | 8.58 Bn | 17.74 Bn |
| 5 | Ross Stores | 74.93 Bn | 57.86 Bn | 2.12 Bn | 3.09 Bn |
| 6 | Target | 71.05 Bn | 65.64 Bn | 8.94 Bn | 13.25 Bn |
| 7 | O Reilly Automotive | 70.25 Bn | 69.33 Bn | 2.52 Bn | 5.97 Bn |
| 8 | Carvana | 69.96 Bn | 61.56 Bn | 1.38 Bn | 3.26 Bn |
| 9 | Autozone | 46.92 Bn | 45.82 Bn | 2.52 Bn | - |
| 10 | Victoria's Secret | 7.14 Bn | 5.71 Bn | 759.00 Mn | 1.15 Bn |
Historic Data
| Date | Value |
|---|---|
| Aug 1, 2026 | 1.15 Bn |
| May 2, 2026 | 1.10 Bn |
| Jan 31, 2026 | 1.07 Bn |
| Nov 1, 2025 | 1.38 Bn |
| Aug 2, 2025 | 1.06 Bn |
| May 3, 2025 | 1.04 Bn |
| Feb 1, 2025 | 955.00 Mn |
| Nov 2, 2024 | 1.29 Bn |
| Aug 3, 2024 | 1.02 Bn |
| May 4, 2024 | 987.00 Mn |
| Feb 3, 2024 | 985.00 Mn |
| Oct 28, 2023 | 1.21 Bn |
| Jul 29, 2023 | 1.04 Bn |
| Apr 29, 2023 | 1.04 Bn |
| Jan 28, 2023 | 1.05 Bn |
| Oct 29, 2022 | 1.24 Bn |
| Jul 30, 2022 | 1.09 Bn |
| Apr 30, 2022 | 1.05 Bn |
| Jan 29, 2022 | 949.00 Mn |
| Oct 30, 2021 | 1.02 Bn |
Victoria's Secret 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=inventory&ticker=VSXY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "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=inventory&ticker=VSXY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();