Victoria's Secret (VSXY) Interest Coverage Ratio (2020 - 2026)
Victoria's Secret's (VSXY) Interest Coverage Ratio came in at 17.13 for fiscal Q2 2027 (quarter ended Aug 1, 2026), up 652.2% from 2.28 a year earlier and up 238.2% from the prior quarter.
Victoria's Secret (VSXY) Interest Coverage Ratio (2020 - 2026) Analysis & Trends
For the trailing twelve months through Aug 1, 2026, Interest Coverage Ratio at Victoria's Secret was 8.35, up 128.1% year-over-year; for FY2026 (ended Jan 31, 2026), it came in at 3.87, up 7.4% from FY2025.
- In prior fiscal years, Victoria's Secret's Interest Coverage Ratio was 3.60 in FY2025 (+45.1%), 2.48 in FY2024 (-68.8%), 7.97 in FY2023 (-75.3%) and 32.22 in FY2022.
- The fiscal Q2 2027 figure stands as the highest quarterly Interest Coverage Ratio since fiscal Q4 2022.
- On a year-over-year basis, Interest Coverage Ratio has increased in each of the last three quarters, with growth averaging 166.6% over the last six quarters.
- The strongest year-over-year quarter for Interest Coverage Ratio in the past five years was fiscal Q2 2027, with growth of 652.2%; the weakest was fiscal Q1 2023, with a decline of 96.5%.
- According to Business Quant data, Interest Coverage Ratio for the three prior fiscal quarters was 5.07 (Q1 2027), 13.47 (Q4 2026) and -1.06 (Q3 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Interest Cover (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,659.84 Bn | 2,176.54 Bn | 104.83 Bn | 20.90 |
| 2 | Home Depot | 287.59 Bn | 280.83 Bn | 16.12 Bn | 11.73 |
| 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 | 26.12 |
| 7 | O Reilly Automotive | 70.25 Bn | 69.33 Bn | 2.52 Bn | 14.11 |
| 8 | Carvana | 69.96 Bn | 61.56 Bn | 1.38 Bn | 6.73 |
| 9 | Autozone | 46.92 Bn | 45.82 Bn | 2.52 Bn | - |
| 10 | Victoria's Secret | 7.14 Bn | 5.71 Bn | 759.00 Mn | 17.13 |
Historic Data
| Date | Value |
|---|---|
| Aug 1, 2026 | 17.13 |
| May 2, 2026 | 5.07 |
| Jan 31, 2026 | 13.47 |
| Nov 1, 2025 | -1.06 |
| Aug 2, 2025 | 2.28 |
| May 3, 2025 | 1.18 |
| Feb 1, 2025 | 13.40 |
| Nov 2, 2024 | -2.14 |
| Aug 3, 2024 | 2.95 |
| May 4, 2024 | 1.18 |
| Feb 3, 2024 | 9.59 |
| Oct 28, 2023 | -2.58 |
| Jul 29, 2023 | 1.08 |
| Apr 29, 2023 | 1.27 |
| Jan 28, 2023 | 12.84 |
| Oct 29, 2022 | 2.87 |
| Jul 30, 2022 | 7.54 |
| Apr 30, 2022 | 7.83 |
| Jan 29, 2022 | 30.27 |
| Oct 30, 2021 | 9.00 |
Victoria's Secret Interest Coverage Ratio 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-coverage-ratio&ticker=VSXY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "interest-coverage-ratio", "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-coverage-ratio&ticker=VSXY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();