Victoria's Secret (VSXY) Buildings (2021 - 2026)
Victoria's Secret (VSXY) reported Buildings of $209 million for fiscal Q4 2026 (quarter ended Jan 31, 2026), down 4.6% from $219 million a year earlier.
Analysis
Victoria's Secret (VSXY) Buildings (2021 - 2026) Analysis & Trends
Dating back to fiscal Q4 2021, Victoria's Secret's Buildings record includes 6 quarters.
- Buildings has a five-year compound annual growth rate of 1.9% (FY2021 to FY2026).
- By fiscal year, Buildings came in at $219 million in FY2025 (+0.5%), $218 million in FY2024 (-0.5%), $219 million in FY2023 (+3.8%) and $211 million in FY2022 (+11.1%).
- The fiscal Q4 2026 figure ranks as the lowest quarterly Buildings since fiscal Q4 2021.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Amazon Com | 2,882.37 Bn | 2,379.04 Bn | 107.37 Bn |
| 2 | Home Depot | 352.74 Bn | 345.98 Bn | 16.12 Bn |
| 3 | Tjx Companies | 160.17 Bn | 137.71 Bn | 5.07 Bn |
| 4 | Lowes Companies | 128.29 Bn | 121.25 Bn | 8.58 Bn |
| 5 | Ross Stores | 78.33 Bn | 61.25 Bn | 2.12 Bn |
| 6 | O Reilly Automotive | 76.31 Bn | 75.40 Bn | 2.52 Bn |
| 7 | Target | 74.04 Bn | 68.63 Bn | 8.94 Bn |
| 8 | Carvana | 56.03 Bn | 45.61 Bn | 1.52 Bn |
| 9 | Autozone | 54.86 Bn | 53.71 Bn | 3.52 Bn |
| 10 | Victoria's Secret | 8.72 Bn | 7.22 Bn | 759.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jan 31, 2026 | 209.00 Mn |
| Feb 1, 2025 | 219.00 Mn |
| Feb 3, 2024 | 218.00 Mn |
| Jan 28, 2023 | 219.00 Mn |
| Jan 29, 2022 | 211.00 Mn |
| Jan 30, 2021 | 190.00 Mn |
API Access
Victoria's Secret Buildings 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=buildings&ticker=VSXY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "buildings", "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=buildings&ticker=VSXY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();