Victoria's Secret (VSXY) Shares Outstanding (Diluted) (2020 - 2026)
Victoria's Secret's Shares Outstanding (Diluted) came in at 84 million for fiscal Q2 2027 (quarter ended Aug 1, 2026), up 2.4% from 82 million a year earlier but down 1.2% from the prior quarter.
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Analysis
Victoria's Secret (VSXY) Shares Outstanding (Diluted) (2020 - 2026) Analysis & Trends
For FY2026 (ended Jan 31, 2026), Victoria's Secret's Shares Outstanding (Diluted) was 83 million, up 2.5% from FY2025.
- Shares Outstanding (Diluted) carries a five-year compound annual growth rate of -1.2% (FY2021 to FY2026).
- Going back by fiscal year, Shares Outstanding (Diluted) was 81 million in FY2025 (+2.5%), 79 million in FY2024 (-6.0%), 84 million in FY2023 (-6.7%) and 90 million in FY2022 (+2.3%).
- The five-year range for quarterly Shares Outstanding (Diluted) is 77 million (fiscal Q2 2024) to 92 million (fiscal Q3 2022).
- Year-over-year, Shares Outstanding (Diluted) has increased for nine consecutive quarters, with growth averaging 3.0% over the last eight quarters.
- The fastest year-over-year change in Shares Outstanding (Diluted) over five years came in fiscal Q1 2027 (growth of 7.6%), and the weakest in fiscal Q3 2023 (a decline of 9.8%).
- Business Quant data shows VSXY's Shares Outstanding (Diluted) at 85 million (Q1 2027), 83 million (Q4 2026) and 81 million (Q3 2026) in the three fiscal quarters before Q2 2027.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Dil.) (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,676.66 Bn | 2,193.36 Bn | 104.83 Bn | 10.90 Bn |
| 2 | Home Depot | 281.92 Bn | 275.16 Bn | 16.12 Bn | 996.00 Mn |
| 3 | Tjx Companies | 147.13 Bn | 124.67 Bn | 5.07 Bn | 1.12 Bn |
| 4 | Lowes Companies | 102.34 Bn | 95.31 Bn | 8.58 Bn | 560.00 Mn |
| 5 | Ross Stores | 74.83 Bn | 57.76 Bn | 2.12 Bn | 319.45 Mn |
| 6 | Target | 71.16 Bn | 65.74 Bn | 8.94 Bn | 456.60 Mn |
| 7 | O Reilly Automotive | 69.40 Bn | 68.49 Bn | 2.52 Bn | 828.88 Mn |
| 8 | Carvana | 69.33 Bn | 60.93 Bn | 1.38 Bn | 739.96 Mn |
| 9 | Autozone | 46.02 Bn | 44.93 Bn | 2.52 Bn | 16.85 Mn |
| 10 | Victoria's Secret | 7.08 Bn | 5.65 Bn | 759.00 Mn | 84.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Aug 1, 2026 | 84.00 Mn |
| May 2, 2026 | 85.00 Mn |
| Jan 31, 2026 | 83.00 Mn |
| Nov 1, 2025 | 81.00 Mn |
| Aug 2, 2025 | 82.00 Mn |
| May 3, 2025 | 79.00 Mn |
| Feb 1, 2025 | 81.00 Mn |
| Nov 2, 2024 | 79.00 Mn |
| Aug 3, 2024 | 80.00 Mn |
| May 4, 2024 | 78.00 Mn |
| Feb 3, 2024 | 79.00 Mn |
| Oct 28, 2023 | 77.00 Mn |
| Jul 29, 2023 | 77.00 Mn |
| Apr 29, 2023 | 80.00 Mn |
| Jan 28, 2023 | 84.00 Mn |
| Oct 29, 2022 | 83.00 Mn |
| Jul 30, 2022 | 84.00 Mn |
| Apr 30, 2022 | 87.00 Mn |
| Jan 29, 2022 | 90.00 Mn |
| Oct 30, 2021 | 92.00 Mn |
API Access
Victoria's Secret Shares Outstanding (Diluted) 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=shares-outstanding-diluted&ticker=VSXY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-diluted", "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=shares-outstanding-diluted&ticker=VSXY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();