Victoria's Secret (VSXY) Selling, General & Administrative (2020 - 2026)
Victoria's Secret's Selling, General & Administrative was $502 million in fiscal Q2 2027 (quarter ended Aug 1, 2026), up 5.0% from $478 million a year earlier but down 1.4% from the prior quarter.
Victoria's Secret (VSXY) Selling, General & Administrative (2020 - 2026) Analysis & Trends
On a trailing twelve-month basis, Victoria's Secret's Selling, General & Administrative was $2.19 billion through Aug 1, 2026, up 10.0% year-over-year; for FY2026 (ended Jan 31, 2026), it was $2.11 billion, up 7.0% from FY2025.
- Selling, General & Administrative shows a five-year compound annual growth rate of 4.8% (FY2021 to FY2026).
- In earlier fiscal years, Selling, General & Administrative was $1.97 billion in FY2025 (-1.1%), $2 billion in FY2024 (+12.1%), $1.78 billion in FY2023 (-5.8%) and $1.89 billion in FY2022 (+13.0%).
- Quarterly Selling, General & Administrative has moved between $414 million (fiscal Q3 2023) and $626 million (fiscal Q4 2026) over five years.
- Compared with a year earlier, Selling, General & Administrative has increased for five straight quarters, with growth averaging 5.6% over the last eight quarters.
- The best year-over-year quarter for Selling, General & Administrative over five years was fiscal Q3 2022 (growth of 23.5%); the worst was fiscal Q3 2023 (a decline of 9.4%).
- Per Business Quant data, VSXY's Selling, General & Administrative in the three fiscal quarters before Q2 2027 was $509 million (Q1 2027), $626 million (Q4 2026) and $555 million (Q3 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,712.14 Bn | 2,228.84 Bn | 104.83 Bn | 2.79 Bn |
| 2 | Home Depot | 282.27 Bn | 275.52 Bn | 16.12 Bn | 8.42 Bn |
| 3 | Tjx Companies | 146.16 Bn | 123.70 Bn | 5.07 Bn | 3.09 Bn |
| 4 | Lowes Companies | 101.42 Bn | 94.39 Bn | 8.58 Bn | 4.46 Bn |
| 5 | Ross Stores | 73.06 Bn | 55.98 Bn | 2.12 Bn | 1.02 Bn |
| 6 | Target | 70.86 Bn | 65.45 Bn | 8.94 Bn | 5.73 Bn |
| 7 | Carvana | 70.11 Bn | 61.71 Bn | 1.38 Bn | 704.00 Mn |
| 8 | O Reilly Automotive | 69.29 Bn | 68.38 Bn | 2.52 Bn | 1.53 Bn |
| 9 | Autozone | 45.61 Bn | 44.51 Bn | 2.52 Bn | 1.60 Bn |
| 10 | Victoria's Secret | 7.34 Bn | 5.91 Bn | 759.00 Mn | 502.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Aug 1, 2026 | 502.00 Mn |
| May 2, 2026 | 509.00 Mn |
| Jan 31, 2026 | 626.00 Mn |
| Nov 1, 2025 | 555.00 Mn |
| Aug 2, 2025 | 478.00 Mn |
| May 3, 2025 | 454.00 Mn |
| Feb 1, 2025 | 545.00 Mn |
| Nov 2, 2024 | 515.00 Mn |
| Aug 3, 2024 | 439.00 Mn |
| May 4, 2024 | 475.00 Mn |
| Feb 3, 2024 | 567.00 Mn |
| Oct 28, 2023 | 494.00 Mn |
| Jul 29, 2023 | 461.00 Mn |
| Apr 29, 2023 | 474.00 Mn |
| Jan 28, 2023 | 500.00 Mn |
| Oct 29, 2022 | 414.00 Mn |
| Jul 30, 2022 | 437.00 Mn |
| Apr 30, 2022 | 428.00 Mn |
| Jan 29, 2022 | 519.00 Mn |
| Oct 30, 2021 | 457.00 Mn |
Victoria's Secret Selling, General & Administrative 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=selling-general-and-administrative&ticker=VSXY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "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=selling-general-and-administrative&ticker=VSXY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();