Victoria's Secret (VSXY) Cash from Operations (2020 - 2026)
Victoria's Secret's Cash from Operations was $402 million in fiscal Q2 2027 (quarter ended Aug 1, 2026), up 157.7% from $156 million a year earlier.
Victoria's Secret (VSXY) Cash from Operations (2020 - 2026) Analysis & Trends
On a trailing twelve-month basis, Victoria's Secret's Cash from Operations was $758 million through Aug 1, 2026, up 75.5% year-over-year; for FY2026 (ended Jan 31, 2026), it came in at $499 million, up 17.4% from FY2025.
- Cash from Operations shows a five-year compound annual growth rate of -5.8% (FY2021 to FY2026).
- In earlier fiscal years, Cash from Operations was $425 million in FY2025 (+9.3%), $389 million in FY2024 (-11.0%), $437 million in FY2023 (-48.6%) and $851 million in FY2022 (+26.3%).
- Quarterly Cash from Operations has moved between -$248 million (fiscal Q3 2025) and $716 million (fiscal Q4 2023) over five years.
- Compared with a year earlier, Cash from Operations was higher in three of the last four quarters, with growth averaging 51.9%.
- The best year-over-year quarter for Cash from Operations over five years was fiscal Q2 2027 (growth of 157.7%); the worst was fiscal Q2 2023 (a decline of 66.9%).
- Per Business Quant data, VSXY's Cash from Operations in the three fiscal quarters before Q2 2027 was -$137 million (Q1 2027), $673 million (Q4 2026) and -$180 million (Q3 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash from Ops. (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,686.58 Bn | 2,203.28 Bn | 104.83 Bn | 45.39 Bn |
| 2 | Home Depot | 283.87 Bn | 277.11 Bn | 16.12 Bn | 5.39 Bn |
| 3 | Tjx Companies | 145.82 Bn | 123.36 Bn | 5.07 Bn | 2.23 Bn |
| 4 | Lowes Companies | 103.43 Bn | 96.39 Bn | 8.58 Bn | 3.66 Bn |
| 5 | Ross Stores | 74.61 Bn | 57.54 Bn | 2.12 Bn | 875.76 Mn |
| 6 | Target | 71.16 Bn | 65.74 Bn | 8.94 Bn | 3.80 Bn |
| 7 | O Reilly Automotive | 69.71 Bn | 68.80 Bn | 2.52 Bn | 1.01 Bn |
| 8 | Carvana | 68.78 Bn | 60.38 Bn | 1.38 Bn | 238.00 Mn |
| 9 | Autozone | 46.23 Bn | 45.13 Bn | 2.52 Bn | 801.99 Mn |
| 10 | Victoria's Secret | 7.07 Bn | 5.64 Bn | 759.00 Mn | 402.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Aug 1, 2026 | 402.00 Mn |
| May 2, 2026 | -137.00 Mn |
| Jan 31, 2026 | 673.00 Mn |
| Nov 1, 2025 | -180.00 Mn |
| Aug 2, 2025 | 156.00 Mn |
| May 3, 2025 | -150.00 Mn |
| Feb 1, 2025 | 674.00 Mn |
| Nov 2, 2024 | -248.00 Mn |
| Aug 3, 2024 | 115.00 Mn |
| May 4, 2024 | -116.00 Mn |
| Feb 3, 2024 | 589.00 Mn |
| Oct 28, 2023 | -181.00 Mn |
| Jul 29, 2023 | 89.00 Mn |
| Apr 29, 2023 | -108.00 Mn |
| Jan 28, 2023 | 716.00 Mn |
| Oct 29, 2022 | -228.00 Mn |
| Jul 30, 2022 | 95.00 Mn |
| Apr 30, 2022 | -146.00 Mn |
| Jan 29, 2022 | 473.00 Mn |
| Oct 30, 2021 | -11.00 Mn |
Victoria's Secret Cash from Operations 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=cash-from-operations&ticker=VSXY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-from-operations", "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=cash-from-operations&ticker=VSXY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();