Pvh (PVH) Receivables (2009 - 2026)
Pvh (PVH) posted Receivables of $941.6 million for fiscal Q2 2027 (quarter ended Aug 2, 2026), up 2.4% from $919.2 million a year earlier and up 2.5% from the prior quarter.
Pvh (PVH) Receivables (2009 - 2026) Analysis & Trends
At the end of FY2026 (ended Feb 1, 2026), Pvh's Receivables came in at $1.02 billion, up 16.2% from FY2025.
- Annual Receivables shows a five-year compound annual growth rate of 8.8% (FY2021 to FY2026).
- In prior fiscal years, Pvh's Receivables was $876.3 million in FY2025 (+8.6%), $807.2 million in FY2024 (-14.6%), $945.2 million in FY2023 (+23.5%) and $765.3 million in FY2022 (+14.8%).
- Quarterly Receivables has run from a low of $765.3 million in fiscal Q4 2022 to a high of $1.12 billion in fiscal Q3 2026 over five years.
- On a year-over-year basis, Receivables has increased in each of the last seven quarters, with growth averaging 5.6% over the last eight quarters.
- The strongest year-over-year quarter for Receivables in the past five years was fiscal Q4 2023, with growth of 23.5%; the weakest was fiscal Q4 2024, with a decline of 14.6%.
- According to Business Quant data, Receivables for the three prior fiscal quarters was $918.7 million (Q1 2027), $1.02 billion (Q4 2026) and $1.12 billion (Q3 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Receivables (Qtr) |
|---|---|---|---|---|---|
| 1 | Nike | 52.47 Bn | 18.46 Bn | 5.39 Bn | 5.93 Bn |
| 2 | Tapestry | 23.05 Bn | 19.01 Bn | 1.56 Bn | 237.10 Mn |
| 3 | Ralph Lauren | 21.35 Bn | 13.45 Bn | 1.44 Bn | 407.20 Mn |
| 4 | Deckers Outdoor | 11.12 Bn | 3.99 Bn | - | 318.98 Mn |
| 5 | Lululemon Athletica | 10.25 Bn | 4.50 Bn | 1.46 Bn | 171.16 Mn |
| 6 | Levi Strauss | 7.60 Bn | 4.25 Bn | 979.10 Mn | 586.20 Mn |
| 7 | Gildan Activewear | 6.52 Bn | 5.51 Bn | 459.76 Mn | 1.08 Bn |
| 8 | Birkenstock Holding | 5.97 Bn | 4.27 Bn | 493.89 Mn | 328.90 Mn |
| 9 | Crocs | 5.64 Bn | 5.06 Bn | 700.71 Mn | 430.30 Mn |
| 10 | Pvh | 3.42 Bn | 999.79 Mn | 1.32 Bn | 941.60 Mn |
Historic Data
| Date | Value |
|---|---|
| Aug 2, 2026 | 941.60 Mn |
| May 3, 2026 | 918.70 Mn |
| Feb 1, 2026 | 1.02 Bn |
| Nov 2, 2025 | 1.12 Bn |
| Aug 3, 2025 | 919.20 Mn |
| May 4, 2025 | 872.80 Mn |
| Feb 2, 2025 | 876.30 Mn |
| Nov 3, 2024 | 999.00 Mn |
| Aug 4, 2024 | 906.90 Mn |
| May 5, 2024 | 835.00 Mn |
| Feb 4, 2024 | 807.20 Mn |
| Oct 29, 2023 | 1.06 Bn |
| Jul 30, 2023 | 910.00 Mn |
| Apr 30, 2023 | 928.30 Mn |
| Jan 29, 2023 | 945.20 Mn |
| Oct 30, 2022 | 1.00 Bn |
| Jul 31, 2022 | 837.50 Mn |
| May 1, 2022 | 872.50 Mn |
| Jan 30, 2022 | 765.30 Mn |
| Oct 31, 2021 | 936.60 Mn |
Pvh Receivables 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=receivables&ticker=PVH&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables", "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=receivables&ticker=PVH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();