Victoria's Secret (VSXY) Non-Current Assets (2020 - 2026)
Victoria's Secret's Non-Current Assets came in at $3.19 billion for fiscal Q2 2027 (quarter ended Aug 1, 2026), down 0.7% from $3.22 billion a year earlier but up 1.6% from the prior quarter.
Victoria's Secret (VSXY) Non-Current Assets (2020 - 2026) Analysis & Trends
At the end of FY2026 (ended Jan 31, 2026), Victoria's Secret's Non-Current Assets was $3.13 billion, up 1.3% from FY2025.
- Non-Current Assets has increased in each of the last four fiscal years, with a five-year compound annual growth rate of 0.9% (FY2021 to FY2026).
- Going back by fiscal year, Non-Current Assets was $3.09 billion in FY2025 (+0.8%), $3.07 billion in FY2024 (+3.1%), $2.97 billion in FY2023 (+12.1%) and $2.65 billion in FY2022 (-11.3%).
- The five-year range for quarterly Non-Current Assets is $2.43 billion (fiscal Q3 2023) to $3.22 billion (fiscal Q2 2026).
- Year-over-year, Non-Current Assets increased in seven of the last eight quarters, with growth averaging 1.6%.
- The fastest year-over-year change in Non-Current Assets over five years came in fiscal Q3 2024 (growth of 25.4%), and the weakest in fiscal Q3 2022 (a decline of 14.7%).
- Business Quant data shows VSXY's Non-Current Assets at $3.14 billion (Q1 2027), $3.13 billion (Q4 2026) and $3.19 billion (Q3 2026) in the three fiscal quarters before Q2 2027.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non-Current Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,659.84 Bn | 2,176.54 Bn | 104.83 Bn | 846.43 Bn |
| 2 | Home Depot | 287.59 Bn | 280.83 Bn | 16.12 Bn | 71.66 Bn |
| 3 | Tjx Companies | 147.38 Bn | 124.93 Bn | 5.07 Bn | 21.79 Bn |
| 4 | Lowes Companies | 105.03 Bn | 97.99 Bn | 8.58 Bn | 32.54 Bn |
| 5 | Ross Stores | 74.93 Bn | 57.86 Bn | 2.12 Bn | 8.11 Bn |
| 6 | Target | 71.05 Bn | 65.64 Bn | 8.94 Bn | 40.31 Bn |
| 7 | O Reilly Automotive | 70.25 Bn | 69.33 Bn | 2.52 Bn | 10.19 Bn |
| 8 | Carvana | 69.96 Bn | 61.56 Bn | 1.38 Bn | 6.55 Bn |
| 9 | Autozone | 46.92 Bn | 45.82 Bn | 2.52 Bn | 11.98 Bn |
| 10 | Victoria's Secret | 7.14 Bn | 5.71 Bn | 759.00 Mn | 3.19 Bn |
Historic Data
| Date | Value |
|---|---|
| Aug 1, 2026 | 3.19 Bn |
| May 2, 2026 | 3.14 Bn |
| Jan 31, 2026 | 3.13 Bn |
| Nov 1, 2025 | 3.19 Bn |
| Aug 2, 2025 | 3.22 Bn |
| May 3, 2025 | 3.13 Bn |
| Feb 1, 2025 | 3.09 Bn |
| Nov 2, 2024 | 3.14 Bn |
| Aug 3, 2024 | 3.15 Bn |
| May 4, 2024 | 2.99 Bn |
| Feb 3, 2024 | 3.07 Bn |
| Oct 28, 2023 | 3.05 Bn |
| Jul 29, 2023 | 3.05 Bn |
| Apr 29, 2023 | 2.97 Bn |
| Jan 28, 2023 | 2.97 Bn |
| Oct 29, 2022 | 2.43 Bn |
| Jul 30, 2022 | 2.52 Bn |
| Apr 30, 2022 | 2.55 Bn |
| Jan 29, 2022 | 2.65 Bn |
| Oct 30, 2021 | 2.76 Bn |
Victoria's Secret Non-Current Assets 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=non-current-assets&ticker=VSXY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-assets", "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=non-current-assets&ticker=VSXY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();