Victoria's Secret (VSXY) EBITDA (2020 - 2026)
Victoria's Secret (VSXY) posted EBITDA of $308 million for fiscal Q2 2027 (quarter ended Aug 1, 2026), up 196.2% from $104 million a year earlier and up 136.9% from the prior quarter.
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Analysis
Victoria's Secret (VSXY) EBITDA (2020 - 2026) Analysis & Trends
For the trailing twelve months through Aug 1, 2026, EBITDA at Victoria's Secret was $761 million, up 42.0% year-over-year; for FY2026 (ended Jan 31, 2026), it was $509 million, down 10.4% from FY2025.
- Annual EBITDA shows a five-year compound annual growth rate of 17.7% (FY2021 to FY2026).
- In prior fiscal years, Victoria's Secret's EBITDA was $568 million in FY2025 (+7.2%), $530 million in FY2024 (-29.5%), $752 million in FY2023 (-35.9%) and $1.17 billion in FY2022 (+421.3%).
- The fiscal Q2 2027 figure stands as the highest quarterly EBITDA since fiscal Q4 2025.
- On a year-over-year basis, EBITDA increased in five of the last eight quarters, with growth averaging 83.8%.
- The strongest year-over-year quarter for EBITDA in the past five years was fiscal Q3 2025, with growth of 300.0%; the weakest was fiscal Q3 2024, with a decline of 96.4%.
- According to Business Quant data, EBITDA for the three prior fiscal quarters was $130 million (Q1 2027), $282 million (Q4 2026) and $41 million (Q3 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,659.84 Bn | 2,176.54 Bn | 104.83 Bn | 47.45 Bn |
| 2 | Home Depot | 287.59 Bn | 280.83 Bn | 16.12 Bn | 7.95 Bn |
| 3 | Tjx Companies | 147.38 Bn | 124.93 Bn | 5.07 Bn | 2.33 Bn |
| 4 | Lowes Companies | 105.03 Bn | 97.99 Bn | 8.58 Bn | 4.20 Bn |
| 5 | Ross Stores | 74.93 Bn | 57.86 Bn | 2.12 Bn | 1.24 Bn |
| 6 | Target | 71.05 Bn | 65.64 Bn | 8.94 Bn | 3.34 Bn |
| 7 | O Reilly Automotive | 70.25 Bn | 69.33 Bn | 2.52 Bn | 1.12 Bn |
| 8 | Carvana | 69.96 Bn | 61.56 Bn | 1.38 Bn | 749.00 Mn |
| 9 | Autozone | 46.92 Bn | 45.82 Bn | 2.52 Bn | 1.08 Bn |
| 10 | Victoria's Secret | 7.14 Bn | 5.71 Bn | 759.00 Mn | 308.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Aug 1, 2026 | 308.00 Mn |
| May 2, 2026 | 130.00 Mn |
| Jan 31, 2026 | 282.00 Mn |
| Nov 1, 2025 | 41.00 Mn |
| Aug 2, 2025 | 104.00 Mn |
| May 3, 2025 | 82.00 Mn |
| Feb 1, 2025 | 334.00 Mn |
| Nov 2, 2024 | 16.00 Mn |
| Aug 3, 2024 | 126.00 Mn |
| May 4, 2024 | 91.00 Mn |
| Feb 3, 2024 | 327.00 Mn |
| Oct 28, 2023 | 4.00 Mn |
| Jul 29, 2023 | 98.00 Mn |
| Apr 29, 2023 | 101.00 Mn |
| Jan 28, 2023 | 310.00 Mn |
| Oct 29, 2022 | 111.00 Mn |
| Jul 30, 2022 | 168.00 Mn |
| Apr 30, 2022 | 164.00 Mn |
| Jan 29, 2022 | 403.00 Mn |
| Oct 30, 2021 | 183.00 Mn |
API Access
Victoria's Secret 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=ebitda&ticker=VSXY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "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=ebitda&ticker=VSXY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();