Victoria's Secret (VSXY) Interest Expenses (2020 - 2026)
Victoria's Secret (VSXY) posted Interest Expenses of $15 million for fiscal Q2 2027 (quarter ended Aug 1, 2026), down 16.7% from $18 million a year earlier and unchanged from the prior quarter.
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Analysis
Victoria's Secret (VSXY) Interest Expenses (2020 - 2026) Analysis & Trends
For the trailing twelve months through Aug 1, 2026, Interest Expenses at Victoria's Secret was $65 million, down 15.6% year-over-year; for FY2026 (ended Jan 31, 2026), it was $70 million, down 18.6% from FY2025.
- Annual Interest Expenses shows a five-year compound annual growth rate of 63.5% (FY2021 to FY2026).
- In prior fiscal years, Victoria's Secret's Interest Expenses was $86 million in FY2025 (-13.1%), $99 million in FY2024 (+65.0%), $60 million in FY2023 (+122.2%) and $27 million in FY2022 (+350.0%).
- Quarterly Interest Expenses has run from a low of $11 million in fiscal Q4 2022 to a high of $27 million in fiscal Q4 2024 over five years.
- On a year-over-year basis, Interest Expenses has declined in each of the last nine quarters, with an average decline of 17.5% over the last eight quarters.
- The strongest year-over-year quarter for Interest Expenses in the past five years was fiscal Q2 2023, with growth of 333.3%; the weakest was fiscal Q4 2025, with a decline of 25.9%.
- According to Business Quant data, Interest Expenses for the three prior fiscal quarters was $15 million (Q1 2027), $17 million (Q4 2026) and $18 million (Q3 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Int Expense (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,686.58 Bn | 2,203.28 Bn | 104.83 Bn | 1.31 Bn |
| 2 | Home Depot | 283.87 Bn | 277.11 Bn | 16.12 Bn | 583.00 Mn |
| 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 | 98.00 Mn |
| 7 | O Reilly Automotive | 69.71 Bn | 68.80 Bn | 2.52 Bn | 69.87 Mn |
| 8 | Carvana | 68.78 Bn | 60.38 Bn | 1.38 Bn | 101.00 Mn |
| 9 | Autozone | 46.23 Bn | 45.13 Bn | 2.52 Bn | - |
| 10 | Victoria's Secret | 7.07 Bn | 5.64 Bn | 759.00 Mn | 15.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Aug 1, 2026 | 15.00 Mn |
| May 2, 2026 | 15.00 Mn |
| Jan 31, 2026 | 17.00 Mn |
| Nov 1, 2025 | 18.00 Mn |
| Aug 2, 2025 | 18.00 Mn |
| May 3, 2025 | 17.00 Mn |
| Feb 1, 2025 | 20.00 Mn |
| Nov 2, 2024 | 22.00 Mn |
| Aug 3, 2024 | 21.00 Mn |
| May 4, 2024 | 22.00 Mn |
| Feb 3, 2024 | 27.00 Mn |
| Oct 28, 2023 | 26.00 Mn |
| Jul 29, 2023 | 24.00 Mn |
| Apr 29, 2023 | 22.00 Mn |
| Jan 28, 2023 | 19.00 Mn |
| Oct 29, 2022 | 15.00 Mn |
| Jul 30, 2022 | 13.00 Mn |
| Apr 30, 2022 | 12.00 Mn |
| Jan 29, 2022 | 11.00 Mn |
| Oct 30, 2021 | 12.00 Mn |
API Access
Victoria's Secret Interest 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=interest-expenses&ticker=VSXY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "interest-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=interest-expenses&ticker=VSXY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();