Victoria's Secret (VSXY) Total Liabilities (2020 - 2026)
Victoria's Secret (VSXY) reported Total Liabilities of $4.1 billion for fiscal Q2 2027 (quarter ended Aug 1, 2026), up 1.5% from $4.05 billion a year earlier and up 4.6% from the prior quarter.
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Analysis
Victoria's Secret (VSXY) Total Liabilities (2020 - 2026) Analysis & Trends
Dating back to fiscal Q2 2021, Victoria's Secret's Total Liabilities record includes 25 quarters.
- Total Liabilities has a five-year compound annual growth rate of 4.2% (FY2021 to FY2026).
- By fiscal year, Total Liabilities came in at $3.87 billion in FY2025 (-7.1%), $4.16 billion in FY2024 (-3.4%), $4.31 billion in FY2023 (+5.5%) and $4.09 billion in FY2022 (+22.4%).
- Five-year quarterly Total Liabilities spans a low of $3.8 billion in fiscal Q2 2023 and a high of $4.47 billion in fiscal Q3 2025.
- Year over year, Total Liabilities has now increased in each of the last three quarters, with an average decline of 0.3% over the last eight quarters.
- The high point for year-over-year Total Liabilities in five years was fiscal Q4 2022 (growth of 22.4%); the low point was fiscal Q4 2025 (a decline of 7.1%).
- Per Business Quant data, the three fiscal quarters before Q2 2027 came in at $3.93 billion (Q1 2027), $4.1 billion (Q4 2026) and $4.45 billion (Q3 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,882.37 Bn | 2,379.04 Bn | 107.37 Bn | 629.79 Bn |
| 2 | Home Depot | 352.74 Bn | 345.98 Bn | 16.12 Bn | 92.77 Bn |
| 3 | Tjx Companies | 160.17 Bn | 137.71 Bn | 5.07 Bn | 26.46 Bn |
| 4 | Lowes Companies | 128.29 Bn | 121.25 Bn | 8.58 Bn | 63.32 Bn |
| 5 | Ross Stores | 78.33 Bn | 61.25 Bn | 2.12 Bn | 9.24 Bn |
| 6 | O Reilly Automotive | 76.31 Bn | 75.40 Bn | 2.52 Bn | 19.22 Bn |
| 7 | Target | 74.04 Bn | 68.63 Bn | 8.94 Bn | 43.39 Bn |
| 8 | Carvana | 56.03 Bn | 45.61 Bn | 1.52 Bn | 9.54 Bn |
| 9 | Autozone | 54.86 Bn | 53.71 Bn | 3.52 Bn | 24.13 Bn |
| 10 | Victoria's Secret | 8.72 Bn | 7.22 Bn | 759.00 Mn | 4.10 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Aug 1, 2026 | 4.10 Bn |
| May 2, 2026 | 3.93 Bn |
| Jan 31, 2026 | 4.10 Bn |
| Nov 1, 2025 | 4.45 Bn |
| Aug 2, 2025 | 4.05 Bn |
| May 3, 2025 | 3.91 Bn |
| Feb 1, 2025 | 3.87 Bn |
| Nov 2, 2024 | 4.47 Bn |
| Aug 3, 2024 | 4.14 Bn |
| May 4, 2024 | 3.94 Bn |
| Feb 3, 2024 | 4.16 Bn |
| Oct 28, 2023 | 4.45 Bn |
| Jul 29, 2023 | 4.23 Bn |
| Apr 29, 2023 | 4.12 Bn |
| Jan 28, 2023 | 4.31 Bn |
| Oct 29, 2022 | 3.89 Bn |
| Jul 30, 2022 | 3.80 Bn |
| Apr 30, 2022 | 3.81 Bn |
| Jan 29, 2022 | 4.09 Bn |
| Oct 30, 2021 | 4.12 Bn |
API Access
Victoria's Secret Total Liabilities 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=total-liabilities&ticker=VSXY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=VSXY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();