Victoria's Secret (VSXY) Other Non-Current Liabilities (2020 - 2026)
Victoria's Secret (VSXY) reported Other Non-Current Liabilities of $43 million for fiscal Q2 2027 (quarter ended Aug 1, 2026), down 41.9% from $74 million a year earlier and down 15.7% from the prior quarter.
Victoria's Secret (VSXY) Other Non-Current Liabilities (2020 - 2026) Analysis & Trends
At the end of FY2026 (ended Jan 31, 2026), Victoria's Secret posted Other Non-Current Liabilities of $44 million, down 41.3% from FY2025.
- Other Non-Current Liabilities has declined for three consecutive fiscal years, with a five-year compound annual growth rate of -17.2% (FY2021 to FY2026).
- By fiscal year, Other Non-Current Liabilities came in at $75 million in FY2025 (-5.1%), $79 million in FY2024 (-61.7%), $206 million in FY2023 (+428.2%) and $39 million in FY2022 (-65.5%).
- Five-year quarterly Other Non-Current Liabilities spans a low of $39 million in fiscal Q4 2022 and a high of $212 million in fiscal Q3 2024.
- Year over year, Other Non-Current Liabilities has now declined in each of the last four quarters, with an average decline of 21.1% over the last eight quarters.
- The high point for year-over-year Other Non-Current Liabilities in five years was fiscal Q4 2023 (growth of 428.2%); the low point was fiscal Q3 2025 (a decline of 70.8%).
- Per Business Quant data, the three fiscal quarters before Q2 2027 came in at $51 million (Q1 2027), $44 million (Q4 2026) and $43 million (Q3 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Amazon Com | 2,686.58 Bn | 2,203.28 Bn | 104.83 Bn |
| 2 | Home Depot | 283.87 Bn | 277.11 Bn | 16.12 Bn |
| 3 | Tjx Companies | 145.82 Bn | 123.36 Bn | 5.07 Bn |
| 4 | Lowes Companies | 103.43 Bn | 96.39 Bn | 8.58 Bn |
| 5 | Ross Stores | 74.61 Bn | 57.54 Bn | 2.12 Bn |
| 6 | Target | 71.16 Bn | 65.74 Bn | 8.94 Bn |
| 7 | O Reilly Automotive | 69.71 Bn | 68.80 Bn | 2.52 Bn |
| 8 | Carvana | 68.78 Bn | 60.38 Bn | 1.38 Bn |
| 9 | Autozone | 46.23 Bn | 45.13 Bn | 2.52 Bn |
| 10 | Victoria's Secret | 7.07 Bn | 5.64 Bn | 759.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Aug 1, 2026 | 43.00 Mn |
| May 2, 2026 | 51.00 Mn |
| Jan 31, 2026 | 44.00 Mn |
| Nov 1, 2025 | 43.00 Mn |
| Aug 2, 2025 | 74.00 Mn |
| May 3, 2025 | 75.00 Mn |
| Feb 1, 2025 | 75.00 Mn |
| Nov 2, 2024 | 62.00 Mn |
| Aug 3, 2024 | 60.00 Mn |
| May 4, 2024 | 58.00 Mn |
| Feb 3, 2024 | 79.00 Mn |
| Oct 28, 2023 | 212.00 Mn |
| Jul 29, 2023 | 202.00 Mn |
| Apr 29, 2023 | 197.00 Mn |
| Jan 28, 2023 | 206.00 Mn |
| Oct 29, 2022 | 48.00 Mn |
| Jul 30, 2022 | 52.00 Mn |
| Apr 30, 2022 | 49.00 Mn |
| Jan 29, 2022 | 39.00 Mn |
| Oct 30, 2021 | 43.00 Mn |
Victoria's Secret Other 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=other-non-current-liabilities&ticker=VSXY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-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=other-non-current-liabilities&ticker=VSXY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();