Victoria's Secret (VSXY) Goodwill & Intangibles (2020 - 2026)
Victoria's Secret (VSXY) posted Goodwill & Intangibles of $613 million for fiscal Q2 2027 (quarter ended Aug 1, 2026), down 5.0% from $645 million a year earlier and unchanged from the prior quarter.
Victoria's Secret (VSXY) Goodwill & Intangibles (2020 - 2026) Analysis & Trends
Since fiscal Q2 2021, Victoria's Secret has reported Goodwill & Intangibles for 25 quarters.
- Annual Goodwill & Intangibles has declined for three consecutive fiscal years, though with a five-year compound annual growth rate of 20.0% (FY2021 to FY2026).
- In prior fiscal years, Victoria's Secret's Goodwill & Intangibles was $648 million in FY2025 (-0.5%), $651 million in FY2024 (-0.5%), $654 million in FY2023 (+165.9%) and $246 million in FY2022 (unchanged).
- Quarterly Goodwill & Intangibles has run from a low of $246 million in fiscal Q3 2022 to a high of $656 million in fiscal Q1 2024 over five years.
- On a year-over-year basis, Goodwill & Intangibles has declined in each of the last 11 quarters, with an average decline of 2.3% over the last eight quarters.
- The strongest year-over-year quarter for Goodwill & Intangibles in the past five years was fiscal Q1 2024, with growth of 166.7%; the weakest was fiscal Q4 2026, with a decline of 5.4%.
- According to Business Quant data, Goodwill & Intangibles for the three prior fiscal quarters was $613 million (Q1 2027), $613 million (Q4 2026) and $644 million (Q3 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Amazon Com | 2,712.14 Bn | 2,228.84 Bn | 104.83 Bn |
| 2 | Home Depot | 282.27 Bn | 275.52 Bn | 16.12 Bn |
| 3 | Tjx Companies | 146.16 Bn | 123.70 Bn | 5.07 Bn |
| 4 | Lowes Companies | 101.42 Bn | 94.39 Bn | 8.58 Bn |
| 5 | Ross Stores | 73.06 Bn | 55.98 Bn | 2.12 Bn |
| 6 | Target | 70.86 Bn | 65.45 Bn | 8.94 Bn |
| 7 | Carvana | 70.11 Bn | 61.71 Bn | 1.38 Bn |
| 8 | O Reilly Automotive | 69.29 Bn | 68.38 Bn | 2.52 Bn |
| 9 | Autozone | 45.61 Bn | 44.51 Bn | 2.52 Bn |
| 10 | Victoria's Secret | 7.34 Bn | 5.91 Bn | 759.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Aug 1, 2026 | 613.00 Mn |
| May 2, 2026 | 613.00 Mn |
| Jan 31, 2026 | 613.00 Mn |
| Nov 1, 2025 | 644.00 Mn |
| Aug 2, 2025 | 645.00 Mn |
| May 3, 2025 | 646.00 Mn |
| Feb 1, 2025 | 648.00 Mn |
| Nov 2, 2024 | 648.00 Mn |
| Aug 3, 2024 | 649.00 Mn |
| May 4, 2024 | 650.00 Mn |
| Feb 3, 2024 | 651.00 Mn |
| Oct 28, 2023 | 651.00 Mn |
| Jul 29, 2023 | 652.00 Mn |
| Apr 29, 2023 | 656.00 Mn |
| Jan 28, 2023 | 654.00 Mn |
| Oct 29, 2022 | 246.00 Mn |
| Jul 30, 2022 | 246.00 Mn |
| Apr 30, 2022 | 246.00 Mn |
| Jan 29, 2022 | 246.00 Mn |
| Oct 30, 2021 | 246.00 Mn |
Victoria's Secret Goodwill & Intangibles 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=goodwill-and-intangibles&ticker=VSXY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "goodwill-and-intangibles", "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=goodwill-and-intangibles&ticker=VSXY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();