Victoria's Secret (VSXY) Enterprise Value (2021 - 2026)
Victoria's Secret's Enterprise Value was $6.63 billion in fiscal Q2 2027 (quarter ended Aug 1, 2026), up 395.2% from $1.34 billion a year earlier and up 66.5% from the prior quarter.
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Analysis
Victoria's Secret (VSXY) Enterprise Value (2021 - 2026) Analysis & Trends
On a trailing twelve-month basis, Victoria's Secret's Enterprise Value was $5.66 billion through Aug 1, 2026, up 595.6% year-over-year; for FY2026 (ended Jan 31, 2026), it came in at $3.9 billion, up 48.0% from FY2025.
- Enterprise Value shows a four-year compound annual growth rate of -3.4% (FY2022 to FY2026).
- In earlier fiscal years, Enterprise Value was $2.63 billion in FY2025 (+41.7%), $1.86 billion in FY2024 (-34.5%), $2.84 billion in FY2023 (-36.5%) and $4.47 billion in FY2022.
- The fiscal Q2 2027 figure marks the highest quarterly Enterprise Value in data going back to fiscal Q2 2022.
- Compared with a year earlier, Enterprise Value has increased for eight straight quarters, with growth averaging 97.6% over the last eight quarters.
- The best year-over-year quarter for Enterprise Value over five years was fiscal Q2 2027 (growth of 395.2%); the worst was fiscal Q3 2024 (a decline of 56.2%).
- Per Business Quant data, VSXY's Enterprise Value in the three fiscal quarters before Q2 2027 was $3.98 billion (Q1 2027), $3.9 billion (Q4 2026) and $2.61 billion (Q3 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Amazon Com | 2,659.84 Bn | 2,176.54 Bn | 104.83 Bn |
| 2 | Home Depot | 287.59 Bn | 280.83 Bn | 16.12 Bn |
| 3 | Tjx Companies | 147.38 Bn | 124.93 Bn | 5.07 Bn |
| 4 | Lowes Companies | 105.03 Bn | 97.99 Bn | 8.58 Bn |
| 5 | Ross Stores | 74.93 Bn | 57.86 Bn | 2.12 Bn |
| 6 | Target | 71.05 Bn | 65.64 Bn | 8.94 Bn |
| 7 | O Reilly Automotive | 70.25 Bn | 69.33 Bn | 2.52 Bn |
| 8 | Carvana | 69.96 Bn | 61.56 Bn | 1.38 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 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Aug 1, 2026 | 6.63 Bn |
| May 2, 2026 | 3.98 Bn |
| Jan 31, 2026 | 3.90 Bn |
| Nov 1, 2025 | 2.61 Bn |
| Aug 2, 2025 | 1.34 Bn |
| May 3, 2025 | 1.46 Bn |
| Feb 1, 2025 | 2.63 Bn |
| Nov 2, 2024 | 2.35 Bn |
| Aug 3, 2024 | 1.11 Bn |
| May 4, 2024 | 1.29 Bn |
| Feb 3, 2024 | 1.86 Bn |
| Oct 28, 2023 | 1.32 Bn |
| Jul 29, 2023 | 1.44 Bn |
| Apr 29, 2023 | 2.31 Bn |
| Jan 28, 2023 | 2.84 Bn |
| Oct 29, 2022 | 3.02 Bn |
| Jul 30, 2022 | 2.85 Bn |
| Apr 30, 2022 | 3.73 Bn |
| Jan 29, 2022 | 4.47 Bn |
| Oct 30, 2021 | 4.16 Bn |
API Access
Victoria's Secret Enterprise Value 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=enterprise-value&ticker=VSXY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "enterprise-value", "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=enterprise-value&ticker=VSXY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();