Victoria's Secret (VSXY) EBITDA Margin (2020 - 2026)
Victoria's Secret (VSXY) recorded EBITDA Margin of 19.12% in fiscal Q2 2027 (quarter ended Aug 1, 2026), up 11.99 percentage points from 7.13% a year earlier and up 10.79 percentage points from the prior quarter.
Victoria's Secret (VSXY) EBITDA Margin (2020 - 2026) Analysis & Trends
On a TTM basis, Victoria's Secret's EBITDA Margin came in at 11.01% as of Aug 1, 2026, up 2.45 percentage points year-over-year; for FY2026 (ended Jan 31, 2026), it came in at 7.77%, down 1.35 percentage points from FY2025.
- Annual EBITDA Margin has a five-year change of +3.61 percentage points (FY2021 to FY2026).
- Across earlier fiscal years, EBITDA Margin came in at 9.12% in FY2025 (+0.54 pp), 8.57% in FY2024 (-3.28 pp), 11.85% in FY2023 (-5.43 pp) and 17.29% in FY2022 (+13.13 pp).
- The fiscal Q2 2027 figure is the highest quarterly EBITDA Margin since fiscal Q1 2022.
- On a year-over-year basis, EBITDA Margin rose in five of the last eight quarters, with an average year-over-year change of +1.38 percentage points.
- Peak year-over-year performance for EBITDA Margin in the last five years was a gain of 11.99 percentage points in fiscal Q2 2027, against a drop of 8.64 percentage points in fiscal Q1 2023 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at 8.33% (Q1 2027), 12.43% (Q4 2026) and 2.79% (Q3 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,659.84 Bn | 2,176.54 Bn | 104.83 Bn | 23.65% |
| 2 | Home Depot | 287.59 Bn | 280.83 Bn | 16.12 Bn | 16.60% |
| 3 | Tjx Companies | 147.38 Bn | 124.93 Bn | 5.07 Bn | 15.33% |
| 4 | Lowes Companies | 105.03 Bn | 97.99 Bn | 8.58 Bn | 16.17% |
| 5 | Ross Stores | 74.93 Bn | 57.86 Bn | 2.12 Bn | 19.85% |
| 6 | Target | 71.05 Bn | 65.64 Bn | 8.94 Bn | 12.60% |
| 7 | O Reilly Automotive | 70.25 Bn | 69.33 Bn | 2.52 Bn | 22.98% |
| 8 | Carvana | 69.96 Bn | 61.56 Bn | 1.38 Bn | 10.15% |
| 9 | Autozone | 46.92 Bn | 45.82 Bn | 2.52 Bn | 22.39% |
| 10 | Victoria's Secret | 7.14 Bn | 5.71 Bn | 759.00 Mn | 19.12% |
Historic Data
| Date | Value |
|---|---|
| Aug 1, 2026 | 19.12% |
| May 2, 2026 | 8.33% |
| Jan 31, 2026 | 12.43% |
| Nov 1, 2025 | 2.79% |
| Aug 2, 2025 | 7.13% |
| May 3, 2025 | 6.06% |
| Feb 1, 2025 | 15.86% |
| Nov 2, 2024 | 1.19% |
| Aug 3, 2024 | 8.89% |
| May 4, 2024 | 6.70% |
| Feb 3, 2024 | 15.70% |
| Oct 28, 2023 | 0.32% |
| Jul 29, 2023 | 6.87% |
| Apr 29, 2023 | 7.18% |
| Jan 28, 2023 | 15.34% |
| Oct 29, 2022 | 8.42% |
| Jul 30, 2022 | 11.05% |
| Apr 30, 2022 | 11.05% |
| Jan 29, 2022 | 18.52% |
| Oct 30, 2021 | 12.70% |
Victoria's Secret EBITDA Margin 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=ebitda-margin&ticker=VSXY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda-margin", "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=ebitda-margin&ticker=VSXY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();