Victoria's Secret (VSXY) Operating Leases (2020 - 2026)
Victoria's Secret (VSXY) recorded Operating Leases of $1.64 billion in fiscal Q2 2027 (quarter ended Aug 1, 2026), up 5.0% from $1.56 billion a year earlier and up 2.8% from the prior quarter.
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Analysis
Victoria's Secret (VSXY) Operating Leases (2020 - 2026) Analysis & Trends
At the end of FY2026 (ended Jan 31, 2026), Victoria's Secret reported Operating Leases of $1.58 billion, up 9.9% from FY2025.
- Annual Operating Leases has increased for three straight fiscal years, with a five-year compound annual growth rate of 0.3% (FY2021 to FY2026).
- Across earlier fiscal years, Operating Leases came in at $1.43 billion in FY2025 (+9.3%), $1.31 billion in FY2024 (+9.2%), $1.2 billion in FY2023 (-8.6%) and $1.31 billion in FY2022 (-15.4%).
- The fiscal Q2 2027 figure is the highest quarterly Operating Leases since fiscal Q3 2021.
- On a year-over-year basis, Operating Leases has increased for 13 consecutive quarters, with growth averaging 9.6% over the last eight quarters.
- Peak year-over-year performance for Operating Leases in the last five years was growth of 15.3% in fiscal Q1 2026, against a decline of 18.6% in fiscal Q3 2022 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $1.6 billion (Q1 2027), $1.58 billion (Q4 2026) and $1.55 billion (Q3 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Amazon Com | 2,659.84 Bn | 2,176.54 Bn | 104.83 Bn |
| 2 | Home Depot | 287.59 Bn | 280.83 Bn | 16.12 Bn |
| 3 | Tjx Companies | 147.38 Bn | 124.93 Bn | 5.07 Bn |
| 4 | Lowes Companies | 105.03 Bn | 97.99 Bn | 8.58 Bn |
| 5 | Ross Stores | 74.93 Bn | 57.86 Bn | 2.12 Bn |
| 6 | Target | 71.05 Bn | 65.64 Bn | 8.94 Bn |
| 7 | O Reilly Automotive | 70.25 Bn | 69.33 Bn | 2.52 Bn |
| 8 | Carvana | 69.96 Bn | 61.56 Bn | 1.38 Bn |
| 9 | Autozone | 46.92 Bn | 45.82 Bn | 2.52 Bn |
| 10 | Victoria's Secret | 7.14 Bn | 5.71 Bn | 759.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Aug 1, 2026 | 1.64 Bn |
| May 2, 2026 | 1.60 Bn |
| Jan 31, 2026 | 1.58 Bn |
| Nov 1, 2025 | 1.55 Bn |
| Aug 2, 2025 | 1.56 Bn |
| May 3, 2025 | 1.48 Bn |
| Feb 1, 2025 | 1.43 Bn |
| Nov 2, 2024 | 1.43 Bn |
| Aug 3, 2024 | 1.43 Bn |
| May 4, 2024 | 1.29 Bn |
| Feb 3, 2024 | 1.31 Bn |
| Oct 28, 2023 | 1.28 Bn |
| Jul 29, 2023 | 1.29 Bn |
| Apr 29, 2023 | 1.22 Bn |
| Jan 28, 2023 | 1.20 Bn |
| Oct 29, 2022 | 1.21 Bn |
| Jul 30, 2022 | 1.27 Bn |
| Apr 30, 2022 | 1.27 Bn |
| Jan 29, 2022 | 1.31 Bn |
| Oct 30, 2021 | 1.39 Bn |
API Access
Victoria's Secret Operating Leases 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=operating-leases&ticker=VSXY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-leases", "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=operating-leases&ticker=VSXY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();