Victoria's Secret (VSXY) Capital Expenditures (2020 - 2026)
Victoria's Secret (VSXY) recorded Capital Expenditures of $74 million in fiscal Q2 2027 (quarter ended Aug 1, 2026), up 8.8% from $68 million a year earlier and up 37.0% from the prior quarter.
Victoria's Secret (VSXY) Capital Expenditures (2020 - 2026) Analysis & Trends
On a TTM basis, Victoria's Secret's Capital Expenditures came in at $204 million as of Aug 1, 2026, up 7.4% year-over-year; for FY2026 (ended Jan 31, 2026), it was $187 million, up 5.1% from FY2025.
- Annual Capital Expenditures has a five-year compound annual growth rate of 8.0% (FY2021 to FY2026).
- Across earlier fiscal years, Capital Expenditures came in at $178 million in FY2025 (-30.5%), $256 million in FY2024 (+56.1%), $164 million in FY2023 (-3.0%) and $169 million in FY2022 (+33.1%).
- The fiscal Q2 2027 figure is the highest quarterly Capital Expenditures since fiscal Q3 2024.
- On a year-over-year basis, Capital Expenditures rose in five of the last eight quarters, with an average decline of 0.4%.
- Peak year-over-year performance for Capital Expenditures in the last five years was growth of 225.0% in fiscal Q4 2022, against a decline of 36.3% in fiscal Q3 2025 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $54 million (Q1 2027), $24 million (Q4 2026) and $52 million (Q3 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Capex (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,686.58 Bn | 2,203.28 Bn | 104.83 Bn | 54.21 Bn |
| 2 | Home Depot | 283.87 Bn | 277.11 Bn | 16.12 Bn | 880.00 Mn |
| 3 | Tjx Companies | 145.82 Bn | 123.36 Bn | 5.07 Bn | 497.00 Mn |
| 4 | Lowes Companies | 103.43 Bn | 96.39 Bn | 8.58 Bn | 542.00 Mn |
| 5 | Ross Stores | 74.61 Bn | 57.54 Bn | 2.12 Bn | 251.26 Mn |
| 6 | Target | 71.16 Bn | 65.74 Bn | 8.94 Bn | 1.37 Bn |
| 7 | O Reilly Automotive | 69.71 Bn | 68.80 Bn | 2.52 Bn | 307.60 Mn |
| 8 | Carvana | 68.78 Bn | 60.38 Bn | 1.38 Bn | 51.00 Mn |
| 9 | Autozone | 46.23 Bn | 45.13 Bn | 2.52 Bn | 345.51 Mn |
| 10 | Victoria's Secret | 7.07 Bn | 5.64 Bn | 759.00 Mn | 74.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Aug 1, 2026 | 74.00 Mn |
| May 2, 2026 | 54.00 Mn |
| Jan 31, 2026 | 24.00 Mn |
| Nov 1, 2025 | 52.00 Mn |
| Aug 2, 2025 | 68.00 Mn |
| May 3, 2025 | 43.00 Mn |
| Feb 1, 2025 | 28.00 Mn |
| Nov 2, 2024 | 51.00 Mn |
| Aug 3, 2024 | 60.00 Mn |
| May 4, 2024 | 39.00 Mn |
| Feb 3, 2024 | 32.00 Mn |
| Oct 28, 2023 | 80.00 Mn |
| Jul 29, 2023 | 89.00 Mn |
| Apr 29, 2023 | 55.00 Mn |
| Jan 28, 2023 | 39.00 Mn |
| Oct 29, 2022 | 67.00 Mn |
| Jul 30, 2022 | 37.00 Mn |
| Apr 30, 2022 | 21.00 Mn |
| Jan 29, 2022 | 52.00 Mn |
| Oct 30, 2021 | 51.00 Mn |
Victoria's Secret Capital Expenditures 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=capital-expenditures&ticker=VSXY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "capital-expenditures", "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=capital-expenditures&ticker=VSXY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();