Victoria's Secret (VSXY) EV to EBITDA (2021 - 2026)
Victoria's Secret's (VSXY) EV to EBITDA was 8.72 for fiscal Q2 2027 (quarter ended Aug 1, 2026), up 248.8% from 2.50 a year earlier and up 21.9% from the prior quarter.
Victoria's Secret (VSXY) EV to EBITDA (2021 - 2026) Analysis & Trends
Over the twelve months ended Aug 1, 2026, Victoria's Secret's EV to EBITDA came in at 7.44, up 389.9% year-over-year; for FY2026 (ended Jan 31, 2026), it was 7.66, up 65.1% from FY2025.
- By fiscal year, EV to EBITDA came in at 4.64 in FY2025 (+32.2%), 3.51 in FY2024 (-7.0%), 3.77 in FY2023 (-1.0%) and 3.81 in FY2022.
- The fiscal Q2 2027 figure ranks as the highest quarterly EV to EBITDA in data going back to fiscal Q2 2022.
- Year over year, EV to EBITDA has now increased in each of the last eight quarters, with growth averaging 77.8% over the last eight quarters.
- The high point for year-over-year EV to EBITDA in five years was fiscal Q2 2027 (growth of 248.8%); the low point was fiscal Q3 2024 (a decline of 27.8%).
- Per Business Quant data, the three fiscal quarters before Q2 2027 came in at 7.15 (Q1 2027), 7.66 (Q4 2026) and 4.65 (Q3 2026).
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
| Date | Value |
|---|---|
| Aug 1, 2026 | 8.72 |
| May 2, 2026 | 7.15 |
| Jan 31, 2026 | 7.66 |
| Nov 1, 2025 | 4.65 |
| Aug 2, 2025 | 2.50 |
| May 3, 2025 | 2.61 |
| Feb 1, 2025 | 4.64 |
| Nov 2, 2024 | 4.20 |
| Aug 3, 2024 | 2.03 |
| May 4, 2024 | 2.47 |
| Feb 3, 2024 | 3.51 |
| Oct 28, 2023 | 2.57 |
| Jul 29, 2023 | 2.33 |
| Apr 29, 2023 | 3.35 |
| Jan 28, 2023 | 3.77 |
| Oct 29, 2022 | 3.56 |
| Jul 30, 2022 | 3.11 |
| Apr 30, 2022 | 3.62 |
| Jan 29, 2022 | 3.81 |
| Oct 30, 2021 | 3.37 |
Victoria's Secret EV to EBITDA 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=ev-to-ebitda&ticker=VSXY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ev-to-ebitda", "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=ev-to-ebitda&ticker=VSXY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();