Victoria's Secret (VSXY) Total Non-Current Liabilities (2020 - 2026)
Victoria's Secret (VSXY) posted Total Non-Current Liabilities of $4.06 billion for fiscal Q2 2027 (quarter ended Aug 1, 2026), up 2.3% from $3.97 billion a year earlier and up 4.8% from the prior quarter.
Victoria's Secret (VSXY) Total Non-Current Liabilities (2020 - 2026) Analysis & Trends
Since fiscal Q2 2021, Victoria's Secret has reported Total Non-Current Liabilities for 25 quarters.
- Annual Total Non-Current Liabilities shows a five-year compound annual growth rate of 4.7% (FY2021 to FY2026).
- In prior fiscal years, Victoria's Secret's Total Non-Current Liabilities was $3.79 billion in FY2025 (-7.1%), $4.08 billion in FY2024 (-0.5%), $4.1 billion in FY2023 (+1.4%) and $4.05 billion in FY2022 (+25.5%).
- Quarterly Total Non-Current Liabilities has run from a low of $3.75 billion in fiscal Q2 2023 to a high of $4.41 billion in fiscal Q3 2025 over five years.
- On a year-over-year basis, Total Non-Current Liabilities has increased in each of the last three quarters, with growth averaging 0.4% over the last eight quarters.
- The strongest year-over-year quarter for Total Non-Current Liabilities in the past five years was fiscal Q4 2022, with growth of 25.5%; the weakest was fiscal Q4 2025, with a decline of 7.1%.
- According to Business Quant data, Total Non-Current Liabilities for the three prior fiscal quarters was $3.87 billion (Q1 2027), $4.06 billion (Q4 2026) and $4.4 billion (Q3 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,686.58 Bn | 2,203.28 Bn | 104.83 Bn | 464.51 Bn |
| 2 | Home Depot | 283.87 Bn | 277.11 Bn | 16.12 Bn | 89.94 Bn |
| 3 | Tjx Companies | 145.82 Bn | 123.36 Bn | 5.07 Bn | 25.30 Bn |
| 4 | Lowes Companies | 103.43 Bn | 96.39 Bn | 8.58 Bn | 62.52 Bn |
| 5 | Ross Stores | 74.61 Bn | 57.54 Bn | 2.12 Bn | 8.94 Bn |
| 6 | Target | 71.16 Bn | 65.74 Bn | 8.94 Bn | 22.21 Bn |
| 7 | O Reilly Automotive | 69.71 Bn | 68.80 Bn | 2.52 Bn | 18.95 Bn |
| 8 | Carvana | 68.78 Bn | 60.38 Bn | 1.38 Bn | 7.19 Bn |
| 9 | Autozone | 46.23 Bn | 45.13 Bn | 2.52 Bn | 22.81 Bn |
| 10 | Victoria's Secret | 7.07 Bn | 5.64 Bn | 759.00 Mn | 4.06 Bn |
Historic Data
| Date | Value |
|---|---|
| Aug 1, 2026 | 4.06 Bn |
| May 2, 2026 | 3.87 Bn |
| Jan 31, 2026 | 4.06 Bn |
| Nov 1, 2025 | 4.40 Bn |
| Aug 2, 2025 | 3.97 Bn |
| May 3, 2025 | 3.83 Bn |
| Feb 1, 2025 | 3.79 Bn |
| Nov 2, 2024 | 4.41 Bn |
| Aug 3, 2024 | 4.08 Bn |
| May 4, 2024 | 3.88 Bn |
| Feb 3, 2024 | 4.08 Bn |
| Oct 28, 2023 | 4.24 Bn |
| Jul 29, 2023 | 4.02 Bn |
| Apr 29, 2023 | 3.92 Bn |
| Jan 28, 2023 | 4.10 Bn |
| Oct 29, 2022 | 3.84 Bn |
| Jul 30, 2022 | 3.75 Bn |
| Apr 30, 2022 | 3.77 Bn |
| Jan 29, 2022 | 4.05 Bn |
| Oct 30, 2021 | 4.07 Bn |
Victoria's Secret Total Non-Current 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-non-current-liabilities&ticker=VSXY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-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-non-current-liabilities&ticker=VSXY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();