Victoria's Secret (VSXY) Accounts Payables (2020 - 2026)
Victoria's Secret (VSXY) recorded Accounts Payables of $489 million in fiscal Q2 2027 (quarter ended Aug 1, 2026), up 1.9% from $480 million a year earlier and up 18.7% from the prior quarter.
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Analysis
Victoria's Secret (VSXY) Accounts Payables (2020 - 2026) Analysis & Trends
At the end of FY2026 (ended Jan 31, 2026), Victoria's Secret reported Accounts Payables of $493 million, up 17.7% from FY2025.
- Annual Accounts Payables has a five-year compound annual growth rate of 7.8% (FY2021 to FY2026).
- Across earlier fiscal years, Accounts Payables came in at $419 million in FY2025 (-18.3%), $513 million in FY2024 (+6.7%), $481 million in FY2023 (-10.6%) and $538 million in FY2022 (+59.2%).
- Quarterly Accounts Payables has ranged from $388 million in fiscal Q1 2024 to $560 million in fiscal Q3 2022 over the past five years.
- On a year-over-year basis, Accounts Payables rose in six of the last eight quarters, with growth averaging 2.9%.
- Peak year-over-year performance for Accounts Payables in the last five years was growth of 59.2% in fiscal Q4 2022, against a decline of 29.1% in fiscal Q3 2023 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $412 million (Q1 2027), $493 million (Q4 2026) and $546 million (Q3 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Accounts Payables (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,686.58 Bn | 2,203.28 Bn | 104.83 Bn | 147.44 Bn |
| 2 | Home Depot | 283.87 Bn | 277.11 Bn | 16.12 Bn | 13.59 Bn |
| 3 | Tjx Companies | 145.82 Bn | 123.36 Bn | 5.07 Bn | 5.02 Bn |
| 4 | Lowes Companies | 103.43 Bn | 96.39 Bn | 8.58 Bn | 11.08 Bn |
| 5 | Ross Stores | 74.61 Bn | 57.54 Bn | 2.12 Bn | 2.62 Bn |
| 6 | Target | 71.16 Bn | 65.74 Bn | 8.94 Bn | 13.31 Bn |
| 7 | O Reilly Automotive | 69.71 Bn | 68.80 Bn | 2.52 Bn | 7.38 Bn |
| 8 | Carvana | 68.78 Bn | 60.38 Bn | 1.38 Bn | 1.46 Bn |
| 9 | Autozone | 46.23 Bn | 45.13 Bn | 2.52 Bn | 8.40 Bn |
| 10 | Victoria's Secret | 7.07 Bn | 5.64 Bn | 759.00 Mn | 489.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Aug 1, 2026 | 489.00 Mn |
| May 2, 2026 | 412.00 Mn |
| Jan 31, 2026 | 493.00 Mn |
| Nov 1, 2025 | 546.00 Mn |
| Aug 2, 2025 | 480.00 Mn |
| May 3, 2025 | 423.00 Mn |
| Feb 1, 2025 | 419.00 Mn |
| Nov 2, 2024 | 464.00 Mn |
| Aug 3, 2024 | 475.00 Mn |
| May 4, 2024 | 412.00 Mn |
| Feb 3, 2024 | 513.00 Mn |
| Oct 28, 2023 | 449.00 Mn |
| Jul 29, 2023 | 529.00 Mn |
| Apr 29, 2023 | 388.00 Mn |
| Jan 28, 2023 | 481.00 Mn |
| Oct 29, 2022 | 397.00 Mn |
| Jul 30, 2022 | 490.00 Mn |
| Apr 30, 2022 | 443.00 Mn |
| Jan 29, 2022 | 538.00 Mn |
| Oct 30, 2021 | 560.00 Mn |
API Access
Victoria's Secret Accounts Payables 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=accounts-payables&ticker=VSXY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accounts-payables", "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=accounts-payables&ticker=VSXY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();