Pvh (PVH) Notes Payables (2010 - 2025)
Pvh (PVH) reported Short-Term Borrowings of $46.2 million for FY2023 (year ended Jan 29, 2023), up 327.8% from $10.8 million in FY2022.
Analysis
Pvh (PVH) Notes Payables (2010 - 2025) Analysis & Trends
Dating back to FY2011, Pvh's Short-Term Borrowings record includes 12 fiscal years.
- Short-Term Borrowings has a five-year compound annual growth rate of 18.8% (FY2018 to FY2023).
- The FY2023 figure ranks as the highest annual Short-Term Borrowings since FY2020.
- According to Business Quant data, Short-Term Borrowings came in at $10.8 million in FY2022, $49.6 million in FY2020 (+287.5%) and $12.8 million in FY2019 (-34.4%).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Nike | 57.28 Bn | 23.48 Bn | 4.80 Bn |
| 2 | Tapestry | 27.14 Bn | 23.10 Bn | 1.56 Bn |
| 3 | Ralph Lauren | 22.63 Bn | 14.55 Bn | 1.63 Bn |
| 4 | Lululemon Athletica | 12.51 Bn | 6.76 Bn | 1.46 Bn |
| 5 | Deckers Outdoor | 11.73 Bn | 4.92 Bn | 895.11 Mn |
| 6 | Levi Strauss | 8.84 Bn | 5.42 Bn | 1.07 Bn |
| 7 | V F | 8.00 Bn | 4.60 Bn | 1.49 Bn |
| 8 | Crocs | 7.20 Bn | 6.60 Bn | 689.73 Mn |
| 9 | Birkenstock Holding | 6.95 Bn | 5.27 Bn | 493.89 Mn |
| 10 | Pvh | 4.13 Bn | 1.72 Bn | 1.32 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| May 4, 2025 | 115.00 Mn |
| Aug 4, 2024 | 8.40 Mn |
| Oct 29, 2023 | 18.00 Mn |
| Jul 30, 2023 | 15.20 Mn |
| Apr 30, 2023 | 17.30 Mn |
| Jan 29, 2023 | 46.20 Mn |
| Oct 30, 2022 | 98.00 Mn |
| Jul 31, 2022 | 12.20 Mn |
| May 1, 2022 | 15.50 Mn |
| Jan 30, 2022 | 10.80 Mn |
| Oct 31, 2021 | 27.80 Mn |
| Aug 1, 2021 | 19.20 Mn |
| May 2, 2021 | 13.80 Mn |
| Nov 1, 2020 | 21.10 Mn |
| Aug 2, 2020 | 70.60 Mn |
| May 3, 2020 | 322.10 Mn |
| Feb 2, 2020 | 49.60 Mn |
| Nov 3, 2019 | 387.50 Mn |
| Aug 4, 2019 | 183.20 Mn |
| May 5, 2019 | 299.70 Mn |
API Access
Pvh Notes 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=notes-payables&ticker=PVH&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "notes-payables", "ticker": "PVH", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=notes-payables&ticker=PVH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();