Victoria's Secret (VSXY) Cost of Revenue (2020 - 2026)
Victoria's Secret (VSXY) recorded Cost of Revenue of $852 million in fiscal Q2 2027 (quarter ended Aug 1, 2026), down 9.4% from $940 million a year earlier and down 12.6% from the prior quarter.
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Analysis
Victoria's Secret (VSXY) Cost of Revenue (2020 - 2026) Analysis & Trends
On a TTM basis, Victoria's Secret's Cost of Revenue came in at $4.18 billion as of Aug 1, 2026, up 4.7% year-over-year; for FY2026 (ended Jan 31, 2026), it was $4.17 billion, up 5.7% from FY2025.
- Annual Cost of Revenue has a five-year compound annual growth rate of 1.6% (FY2021 to FY2026).
- Across earlier fiscal years, Cost of Revenue came in at $3.95 billion in FY2025 (+0.2%), $3.94 billion in FY2024 (-3.6%), $4.09 billion in FY2023 (+1.5%) and $4.03 billion in FY2022 (+4.8%).
- The fiscal Q2 2027 figure is the lowest quarterly Cost of Revenue since fiscal Q3 2024.
- On a year-over-year basis, Cost of Revenue rose in seven of the last eight quarters, with growth averaging 3.8%.
- Peak year-over-year performance for Cost of Revenue in the last five years was growth of 10.9% in fiscal Q1 2027, against a decline of 9.4% in fiscal Q2 2027 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $975 million (Q1 2027), $1.41 billion (Q4 2026) and $936 million (Q3 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cost of Rev (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,712.14 Bn | 2,228.84 Bn | 104.83 Bn | 95.78 Bn |
| 2 | Home Depot | 282.27 Bn | 275.52 Bn | 16.12 Bn | 31.75 Bn |
| 3 | Tjx Companies | 146.16 Bn | 123.70 Bn | 5.07 Bn | 10.11 Bn |
| 4 | Lowes Companies | 101.42 Bn | 94.39 Bn | 8.58 Bn | 17.38 Bn |
| 5 | Ross Stores | 73.06 Bn | 55.98 Bn | 2.12 Bn | 4.15 Bn |
| 6 | Target | 70.86 Bn | 65.45 Bn | 8.94 Bn | 17.60 Bn |
| 7 | Carvana | 70.11 Bn | 61.71 Bn | 1.38 Bn | 5.99 Bn |
| 8 | O Reilly Automotive | 69.29 Bn | 68.38 Bn | 2.52 Bn | 2.38 Bn |
| 9 | Autozone | 45.61 Bn | 44.51 Bn | 2.52 Bn | 2.32 Bn |
| 10 | Victoria's Secret | 7.34 Bn | 5.91 Bn | 759.00 Mn | 852.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Aug 1, 2026 | 852.00 Mn |
| May 2, 2026 | 975.00 Mn |
| Jan 31, 2026 | 1.41 Bn |
| Nov 1, 2025 | 936.00 Mn |
| Aug 2, 2025 | 940.00 Mn |
| May 3, 2025 | 879.00 Mn |
| Feb 1, 2025 | 1.29 Bn |
| Nov 2, 2024 | 879.00 Mn |
| Aug 3, 2024 | 916.00 Mn |
| May 4, 2024 | 858.00 Mn |
| Feb 3, 2024 | 1.26 Bn |
| Oct 28, 2023 | 838.00 Mn |
| Jul 29, 2023 | 940.00 Mn |
| Apr 29, 2023 | 905.00 Mn |
| Jan 28, 2023 | 1.28 Bn |
| Oct 29, 2022 | 861.00 Mn |
| Jul 30, 2022 | 986.00 Mn |
| Apr 30, 2022 | 962.00 Mn |
| Jan 29, 2022 | 1.32 Bn |
| Oct 30, 2021 | 876.00 Mn |
API Access
Victoria's Secret Cost of Revenue 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=cost-of-revenue&ticker=VSXY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cost-of-revenue", "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=cost-of-revenue&ticker=VSXY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();