Victoria's Secret (VSXY) Revenue (2020 - 2026)
Victoria's Secret (VSXY) posted Revenue of $1.61 billion for fiscal Q2 2027 (quarter ended Aug 1, 2026), up 10.4% from $1.46 billion a year earlier and up 3.3% from the prior quarter.
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Analysis
Victoria's Secret (VSXY) Revenue (2020 - 2026) Analysis & Trends
For the trailing twelve months through Aug 1, 2026, Revenue at Victoria's Secret was $6.91 billion, up 10.3% year-over-year; for FY2026 (ended Jan 31, 2026), it came in at $6.55 billion, up 5.2% from FY2025.
- Annual Revenue shows a five-year compound annual growth rate of 3.9% (FY2021 to FY2026).
- In prior fiscal years, Victoria's Secret's Revenue was $6.23 billion in FY2025 (+0.8%), $6.18 billion in FY2024 (-2.6%), $6.34 billion in FY2023 (-6.5%) and $6.79 billion in FY2022 (+25.3%).
- Quarterly Revenue has run from a low of $1.27 billion in fiscal Q3 2024 to a high of $2.27 billion in fiscal Q4 2026 over five years.
- On a year-over-year basis, Revenue has increased in each of the last five quarters, with growth averaging 6.6% over the last eight quarters.
- The strongest year-over-year quarter for Revenue in the past five years was fiscal Q1 2027, with growth of 15.3%; the weakest was fiscal Q3 2023, with a decline of 8.5%.
- According to Business Quant data, Revenue for the three prior fiscal quarters was $1.56 billion (Q1 2027), $2.27 billion (Q4 2026) and $1.47 billion (Q3 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Revenue (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,686.58 Bn | 2,203.28 Bn | 104.83 Bn | 200.61 Bn |
| 2 | Home Depot | 283.87 Bn | 277.11 Bn | 16.12 Bn | 47.86 Bn |
| 3 | Tjx Companies | 145.82 Bn | 123.36 Bn | 5.07 Bn | 15.18 Bn |
| 4 | Lowes Companies | 103.43 Bn | 96.39 Bn | 8.58 Bn | 25.96 Bn |
| 5 | Ross Stores | 74.61 Bn | 57.54 Bn | 2.12 Bn | 6.26 Bn |
| 6 | Target | 71.16 Bn | 65.74 Bn | 8.94 Bn | 26.54 Bn |
| 7 | O Reilly Automotive | 69.71 Bn | 68.80 Bn | 2.52 Bn | 4.89 Bn |
| 8 | Carvana | 68.78 Bn | 60.38 Bn | 1.38 Bn | 7.38 Bn |
| 9 | Autozone | 46.23 Bn | 45.13 Bn | 2.52 Bn | 4.84 Bn |
| 10 | Victoria's Secret | 7.07 Bn | 5.64 Bn | 759.00 Mn | 1.61 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Aug 1, 2026 | 1.61 Bn |
| May 2, 2026 | 1.56 Bn |
| Jan 31, 2026 | 2.27 Bn |
| Nov 1, 2025 | 1.47 Bn |
| Aug 2, 2025 | 1.46 Bn |
| May 3, 2025 | 1.35 Bn |
| Feb 1, 2025 | 2.11 Bn |
| Nov 2, 2024 | 1.35 Bn |
| Aug 3, 2024 | 1.42 Bn |
| May 4, 2024 | 1.36 Bn |
| Feb 3, 2024 | 2.08 Bn |
| Oct 28, 2023 | 1.27 Bn |
| Jul 29, 2023 | 1.43 Bn |
| Apr 29, 2023 | 1.41 Bn |
| Jan 28, 2023 | 2.02 Bn |
| Oct 29, 2022 | 1.32 Bn |
| Jul 30, 2022 | 1.52 Bn |
| Apr 30, 2022 | 1.48 Bn |
| Jan 29, 2022 | 2.18 Bn |
| Oct 30, 2021 | 1.44 Bn |
API Access
Victoria's Secret Revenue 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=revenue&ticker=VSXY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "revenue", "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=revenue&ticker=VSXY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();