Victoria's Secret (VSXY) Accumulated Expenses (2020 - 2026)
Victoria's Secret (VSXY) recorded Accumulated Expenses of $614 million in fiscal Q2 2027 (quarter ended Aug 1, 2026), up 2.3% from $600 million a year earlier and up 7.2% from the prior quarter.
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Analysis
Victoria's Secret (VSXY) Accumulated Expenses (2020 - 2026) Analysis & Trends
At the end of FY2026 (ended Jan 31, 2026), Victoria's Secret reported Accumulated Expenses of $673 million, up 6.3% from FY2025.
- Annual Accumulated Expenses has a five-year compound annual growth rate of -3.0% (FY2021 to FY2026).
- Across earlier fiscal years, Accumulated Expenses came in at $633 million in FY2025 (-21.9%), $810 million in FY2024 (+9.9%), $737 million in FY2023 (+3.2%) and $714 million in FY2022 (-8.7%).
- Quarterly Accumulated Expenses has ranged from $543 million in fiscal Q1 2026 to $810 million in fiscal Q4 2024 over the past five years.
- On a year-over-year basis, Accumulated Expenses has increased for three consecutive quarters, with an average decline of 5.9% over the last eight quarters.
- Peak year-over-year performance for Accumulated Expenses in the last five years was growth of 30.1% in fiscal Q2 2025, against a decline of 28.1% in fiscal Q1 2026 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $573 million (Q1 2027), $673 million (Q4 2026) and $646 million (Q3 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Amazon Com | 2,676.66 Bn | 2,193.36 Bn | 104.83 Bn |
| 2 | Home Depot | 281.92 Bn | 275.16 Bn | 16.12 Bn |
| 3 | Tjx Companies | 147.13 Bn | 124.67 Bn | 5.07 Bn |
| 4 | Lowes Companies | 102.34 Bn | 95.31 Bn | 8.58 Bn |
| 5 | Ross Stores | 74.83 Bn | 57.76 Bn | 2.12 Bn |
| 6 | Target | 71.16 Bn | 65.74 Bn | 8.94 Bn |
| 7 | O Reilly Automotive | 69.40 Bn | 68.49 Bn | 2.52 Bn |
| 8 | Carvana | 69.33 Bn | 60.93 Bn | 1.38 Bn |
| 9 | Autozone | 46.02 Bn | 44.93 Bn | 2.52 Bn |
| 10 | Victoria's Secret | 7.08 Bn | 5.65 Bn | 759.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Aug 1, 2026 | 614.00 Mn |
| May 2, 2026 | 573.00 Mn |
| Jan 31, 2026 | 673.00 Mn |
| Nov 1, 2025 | 646.00 Mn |
| Aug 2, 2025 | 600.00 Mn |
| May 3, 2025 | 543.00 Mn |
| Feb 1, 2025 | 633.00 Mn |
| Nov 2, 2024 | 801.00 Mn |
| Aug 3, 2024 | 752.00 Mn |
| May 4, 2024 | 755.00 Mn |
| Feb 3, 2024 | 810.00 Mn |
| Oct 28, 2023 | 625.00 Mn |
| Jul 29, 2023 | 578.00 Mn |
| Apr 29, 2023 | 649.00 Mn |
| Jan 28, 2023 | 737.00 Mn |
| Oct 29, 2022 | 618.00 Mn |
| Jul 30, 2022 | 623.00 Mn |
| Apr 30, 2022 | 607.00 Mn |
| Jan 29, 2022 | 714.00 Mn |
| Oct 30, 2021 | 696.00 Mn |
API Access
Victoria's Secret Accumulated Expenses 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=accumulated-expenses&ticker=VSXY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "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=accumulated-expenses&ticker=VSXY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();