Victoria's Secret (VSXY) Depreciation and Depletion (2020 - 2026)
Victoria's Secret (VSXY) reported Depreciation and Depletion of $49 million for fiscal Q2 2027 (quarter ended Aug 1, 2026), down 10.9% from $55 million a year earlier and unchanged from the prior quarter.
Victoria's Secret (VSXY) Depreciation and Depletion (2020 - 2026) Analysis & Trends
Over the twelve months ended Aug 1, 2026, Victoria's Secret's Depreciation and Depletion came in at $200 million, down 10.7% year-over-year; for FY2026 (ended Jan 31, 2026), it came in at $212 million, down 6.2% from FY2025.
- Depreciation and Depletion has declined for six consecutive fiscal years, with a five-year compound annual growth rate of -8.2% (FY2021 to FY2026).
- By fiscal year, Depreciation and Depletion came in at $226 million in FY2025 (-12.7%), $259 million in FY2024 (-5.5%), $274 million in FY2023 (-9.6%) and $303 million in FY2022 (-7.1%).
- Five-year quarterly Depreciation and Depletion spans a low of $49 million in fiscal Q1 2027 and a high of $75 million in fiscal Q3 2022.
- Year over year, Depreciation and Depletion has now declined in each of the last four quarters, with an average decline of 8.2% over the last eight quarters.
- The high point for year-over-year Depreciation and Depletion in five years was fiscal Q2 2026 (growth of 3.8%); the low point was fiscal Q2 2025 (a decline of 18.5%).
- Per Business Quant data, the three fiscal quarters before Q2 2027 came in at $49 million (Q1 2027), $51 million (Q4 2026) and $51 million (Q3 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Dep. & Depletion (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,712.14 Bn | 2,228.84 Bn | 104.83 Bn | 13.87 Bn |
| 2 | Home Depot | 282.27 Bn | 275.52 Bn | 16.12 Bn | - |
| 3 | Tjx Companies | 146.16 Bn | 123.70 Bn | 5.07 Bn | 339.00 Mn |
| 4 | Lowes Companies | 101.42 Bn | 94.39 Bn | 8.58 Bn | - |
| 5 | Ross Stores | 73.06 Bn | 55.98 Bn | 2.12 Bn | - |
| 6 | Target | 70.86 Bn | 65.45 Bn | 8.94 Bn | - |
| 7 | Carvana | 70.11 Bn | 61.71 Bn | 1.38 Bn | - |
| 8 | O Reilly Automotive | 69.29 Bn | 68.38 Bn | 2.52 Bn | - |
| 9 | Autozone | 45.61 Bn | 44.51 Bn | 2.52 Bn | - |
| 10 | Victoria's Secret | 7.34 Bn | 5.91 Bn | 759.00 Mn | 49.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Aug 1, 2026 | 49.00 Mn |
| May 2, 2026 | 49.00 Mn |
| Jan 31, 2026 | 51.00 Mn |
| Nov 1, 2025 | 51.00 Mn |
| Aug 2, 2025 | 55.00 Mn |
| May 3, 2025 | 55.00 Mn |
| Feb 1, 2025 | 59.00 Mn |
| Nov 2, 2024 | 55.00 Mn |
| Aug 3, 2024 | 53.00 Mn |
| May 4, 2024 | 59.00 Mn |
| Feb 3, 2024 | 62.00 Mn |
| Oct 28, 2023 | 65.00 Mn |
| Jul 29, 2023 | 65.00 Mn |
| Apr 29, 2023 | 67.00 Mn |
| Jan 28, 2023 | 66.00 Mn |
| Oct 29, 2022 | 68.00 Mn |
| Jul 30, 2022 | 70.00 Mn |
| Apr 30, 2022 | 70.00 Mn |
| Jan 29, 2022 | 70.00 Mn |
| Oct 30, 2021 | 75.00 Mn |
Victoria's Secret Depreciation and Depletion 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=depreciation-and-depletion&ticker=VSXY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "depreciation-and-depletion", "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=depreciation-and-depletion&ticker=VSXY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();