Pvh (PVH) Net Cash Flow (2009 - 2026)
Pvh's Net Cash Flow was $375.7 million in fiscal Q2 2027 (quarter ended Aug 2, 2026).
Analysis
Pvh (PVH) Net Cash Flow (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, Pvh's Net Cash Flow was -$97 million through Aug 2, 2026; for FY2026 (ended Feb 1, 2026), it was -$65.4 million.
- In earlier fiscal years, Net Cash Flow was $52.8 million in FY2025 (-67.5%), $162.5 million in FY2024, -$667.2 million in FY2023 and -$372.3 million in FY2022.
- The fiscal Q2 2027 figure marks the highest quarterly Net Cash Flow since fiscal Q2 2025.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | NCF (Qtr) |
|---|---|---|---|---|---|
| 1 | Nike | 57.61 Bn | 23.81 Bn | 4.80 Bn | -675.00 Mn |
| 2 | Tapestry | 27.02 Bn | 22.98 Bn | 1.56 Bn | -61.30 Mn |
| 3 | Ralph Lauren | 23.36 Bn | 15.28 Bn | 1.63 Bn | -315.30 Mn |
| 4 | Lululemon Athletica | 12.46 Bn | 6.71 Bn | 1.46 Bn | -101.81 Mn |
| 5 | Deckers Outdoor | 11.94 Bn | 5.13 Bn | 895.11 Mn | -394.17 Mn |
| 6 | Levi Strauss | 9.11 Bn | 5.69 Bn | 1.07 Bn | -204.90 Mn |
| 7 | V F | 8.18 Bn | 4.78 Bn | 1.49 Bn | -226.40 Mn |
| 8 | Crocs | 7.42 Bn | 6.83 Bn | 689.73 Mn | -9.60 Mn |
| 9 | Birkenstock Holding | 7.08 Bn | 5.40 Bn | 493.89 Mn | 571.24 Mn |
| 10 | Pvh | 4.26 Bn | 1.84 Bn | 1.32 Bn | 375.70 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Aug 2, 2026 | 375.70 Mn |
| May 3, 2026 | -109.40 Mn |
| Feb 1, 2026 | 536.90 Mn |
| Nov 2, 2025 | -91.50 Mn |
| Aug 3, 2025 | 51.50 Mn |
| May 4, 2025 | -562.30 Mn |
| Feb 2, 2025 | 199.00 Mn |
| Nov 3, 2024 | -49.10 Mn |
| Aug 4, 2024 | 232.70 Mn |
| May 5, 2024 | -329.80 Mn |
| Feb 4, 2024 | 346.90 Mn |
| Oct 29, 2023 | -7.00 Mn |
| Jul 30, 2023 | -3.50 Mn |
| Apr 30, 2023 | -173.90 Mn |
| Jan 29, 2023 | 75.40 Mn |
| Oct 30, 2022 | -229.40 Mn |
| Jul 31, 2022 | -647.50 Mn |
| May 1, 2022 | 134.30 Mn |
| Jan 30, 2022 | 1.13 Bn |
| Oct 31, 2021 | -350.00 Mn |
API Access
Pvh Net Cash Flow 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=net-cash-flow&ticker=PVH&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "net-cash-flow", "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=net-cash-flow&ticker=PVH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();