Victoria's Secret (VSXY) Total Current Liabilities (2020 - 2026)
Victoria's Secret (VSXY) recorded Total Current Liabilities of $1.44 billion in fiscal Q2 2027 (quarter ended Aug 1, 2026), up 7.3% from $1.35 billion a year earlier and up 12.2% from the prior quarter.
Victoria's Secret (VSXY) Total Current Liabilities (2020 - 2026) Analysis & Trends
At the end of FY2026 (ended Jan 31, 2026), Victoria's Secret reported Total Current Liabilities of $1.51 billion, up 9.6% from FY2025.
- Annual Total Current Liabilities has a five-year compound annual growth rate of -0.6% (FY2021 to FY2026).
- Across earlier fiscal years, Total Current Liabilities came in at $1.38 billion in FY2025 (-14.8%), $1.61 billion in FY2024 (+2.2%), $1.58 billion in FY2023 (-7.0%) and $1.7 billion in FY2022 (+9.1%).
- Quarterly Total Current Liabilities has ranged from $1.26 billion in fiscal Q1 2026 to $1.7 billion in fiscal Q4 2022 over the past five years.
- On a year-over-year basis, Total Current Liabilities has increased for three consecutive quarters, with an average decline of 1.1% over the last eight quarters.
- Peak year-over-year performance for Total Current Liabilities in the last five years was growth of 11.5% in fiscal Q3 2025, against a decline of 16.6% in fiscal Q3 2023 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $1.29 billion (Q1 2027), $1.51 billion (Q4 2026) and $1.49 billion (Q3 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,659.84 Bn | 2,176.54 Bn | 104.83 Bn | 241.27 Bn |
| 2 | Home Depot | 287.59 Bn | 280.83 Bn | 16.12 Bn | 34.99 Bn |
| 3 | Tjx Companies | 147.38 Bn | 124.93 Bn | 5.07 Bn | 13.36 Bn |
| 4 | Lowes Companies | 105.03 Bn | 97.99 Bn | 8.58 Bn | 21.13 Bn |
| 5 | Ross Stores | 74.93 Bn | 57.86 Bn | 2.12 Bn | 4.89 Bn |
| 6 | Target | 71.05 Bn | 65.64 Bn | 8.94 Bn | 21.18 Bn |
| 7 | O Reilly Automotive | 70.25 Bn | 69.33 Bn | 2.52 Bn | 9.57 Bn |
| 8 | Carvana | 69.96 Bn | 61.56 Bn | 1.38 Bn | 2.04 Bn |
| 9 | Autozone | 46.92 Bn | 45.82 Bn | 2.52 Bn | 10.04 Bn |
| 10 | Victoria's Secret | 7.14 Bn | 5.71 Bn | 759.00 Mn | 1.44 Bn |
Historic Data
| Date | Value |
|---|---|
| Aug 1, 2026 | 1.44 Bn |
| May 2, 2026 | 1.29 Bn |
| Jan 31, 2026 | 1.51 Bn |
| Nov 1, 2025 | 1.49 Bn |
| Aug 2, 2025 | 1.35 Bn |
| May 3, 2025 | 1.26 Bn |
| Feb 1, 2025 | 1.38 Bn |
| Nov 2, 2024 | 1.53 Bn |
| Aug 3, 2024 | 1.49 Bn |
| May 4, 2024 | 1.44 Bn |
| Feb 3, 2024 | 1.61 Bn |
| Oct 28, 2023 | 1.37 Bn |
| Jul 29, 2023 | 1.41 Bn |
| Apr 29, 2023 | 1.37 Bn |
| Jan 28, 2023 | 1.58 Bn |
| Oct 29, 2022 | 1.33 Bn |
| Jul 30, 2022 | 1.45 Bn |
| Apr 30, 2022 | 1.45 Bn |
| Jan 29, 2022 | 1.70 Bn |
| Oct 30, 2021 | 1.60 Bn |
Victoria's Secret Total 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-current-liabilities&ticker=VSXY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-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-current-liabilities&ticker=VSXY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();