Victoria's Secret (VSXY) Exchange Rate Effect (2021 - 2026)
Victoria's Secret (VSXY) reported Exchange Rate Effect of $2 million for fiscal Q2 2027 (quarter ended Aug 1, 2026), up 100.0% from $1 million a year earlier and up 100.0% from the prior quarter.
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Analysis
Victoria's Secret (VSXY) Exchange Rate Effect (2021 - 2026) Analysis & Trends
Over the twelve months ended Aug 1, 2026, Victoria's Secret's Exchange Rate Effect came in at $4 million; for FY2024 (ended Feb 3, 2024), it was -$1 million.
- By fiscal year, Exchange Rate Effect came in at -$3 million in FY2023, $4 million in FY2021 and -$4 million in FY2020.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | FX Effect (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,882.37 Bn | 2,379.04 Bn | 107.37 Bn | 72.00 Mn |
| 2 | Home Depot | 352.74 Bn | 345.98 Bn | 16.12 Bn | -16.00 Mn |
| 3 | Tjx Companies | 160.17 Bn | 137.71 Bn | 5.07 Bn | -26.00 Mn |
| 4 | Lowes Companies | 128.29 Bn | 121.25 Bn | 8.58 Bn | - |
| 5 | Ross Stores | 78.33 Bn | 61.25 Bn | 2.12 Bn | - |
| 6 | O Reilly Automotive | 76.31 Bn | 75.40 Bn | 2.52 Bn | 680,000.00 |
| 7 | Target | 74.04 Bn | 68.63 Bn | 8.94 Bn | - |
| 8 | Carvana | 56.03 Bn | 45.61 Bn | 1.52 Bn | - |
| 9 | Autozone | 54.86 Bn | 53.71 Bn | 3.52 Bn | 11.91 Mn |
| 10 | Victoria's Secret | 8.72 Bn | 7.22 Bn | 759.00 Mn | 2.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Aug 1, 2026 | 2.00 Mn |
| May 2, 2026 | 1.00 Mn |
| Jan 31, 2026 | 1.00 Mn |
| Aug 2, 2025 | 1.00 Mn |
| May 3, 2025 | -2.00 Mn |
| Feb 1, 2025 | -1.00 Mn |
| Nov 2, 2024 | 1.00 Mn |
| Feb 3, 2024 | 1.00 Mn |
| Oct 28, 2023 | -1.00 Mn |
| Jul 29, 2023 | -1.00 Mn |
| Jan 28, 2023 | -1.00 Mn |
| Jul 30, 2022 | -1.00 Mn |
| Apr 30, 2022 | -1.00 Mn |
| Jan 29, 2022 | -1.00 Mn |
| Oct 30, 2021 | -1.00 Mn |
| May 1, 2021 | 2.00 Mn |
| Jan 30, 2021 | 5.00 Mn |
API Access
Victoria's Secret Exchange Rate Effect 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=exchange-rate-effect&ticker=VSXY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "exchange-rate-effect", "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=exchange-rate-effect&ticker=VSXY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();