Pvh (PVH) Cash from Operations (2009 - 2026)
Pvh (PVH) reported Cash from Operations of $382.9 million for fiscal Q2 2027 (quarter ended Aug 2, 2026), up 79.7% from $213.1 million a year earlier.
Pvh (PVH) Cash from Operations (2009 - 2026) Analysis & Trends
Over the twelve months ended Aug 2, 2026, Pvh's Cash from Operations came in at $875.1 million, up 33.2% year-over-year; for FY2026 (ended Feb 1, 2026), it was $680.4 million, down 8.2% from FY2025.
- Cash from Operations has a five-year compound annual growth rate of -0.5% (FY2021 to FY2026).
- By fiscal year, Cash from Operations came in at $740.9 million in FY2025 (-23.6%), $969.4 million in FY2024, $39.2 million in FY2023 (-96.3%) and $1.07 billion in FY2022 (+53.5%).
- Five-year quarterly Cash from Operations spans a low of -$466.5 million in fiscal Q2 2023 and a high of $1.65 billion in fiscal Q4 2022.
- Year over year, Cash from Operations gained in two of the last five quarters, with an average decline of 5.7%.
- The high point for year-over-year Cash from Operations in five years was fiscal Q4 2024 (growth of 108.9%); the low point was fiscal Q4 2023 (a decline of 81.0%).
- Per Business Quant data, the three fiscal quarters before Q2 2027 came in at -$46.5 million (Q1 2027), $583.2 million (Q4 2026) and -$44.5 million (Q3 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash from Ops. (Qtr) |
|---|---|---|---|---|---|
| 1 | Nike | 52.47 Bn | 18.46 Bn | 5.39 Bn | 1.64 Bn |
| 2 | Tapestry | 23.05 Bn | 19.01 Bn | 1.56 Bn | 522.20 Mn |
| 3 | Ralph Lauren | 21.35 Bn | 13.45 Bn | 1.44 Bn | 339.30 Mn |
| 4 | Deckers Outdoor | 11.12 Bn | 3.99 Bn | - | - |
| 5 | Lululemon Athletica | 10.25 Bn | 4.50 Bn | 1.46 Bn | 374.84 Mn |
| 6 | Levi Strauss | 7.60 Bn | 4.25 Bn | 979.10 Mn | 270.80 Mn |
| 7 | Gildan Activewear | 6.52 Bn | 5.51 Bn | 459.76 Mn | 347.44 Mn |
| 8 | Birkenstock Holding | 5.97 Bn | 4.27 Bn | 493.89 Mn | 286.47 Mn |
| 9 | Crocs | 5.64 Bn | 5.06 Bn | 700.71 Mn | 351.70 Mn |
| 10 | Pvh | 3.42 Bn | 999.79 Mn | 1.32 Bn | 382.90 Mn |
Historic Data
| Date | Value |
|---|---|
| Aug 2, 2026 | 382.90 Mn |
| May 3, 2026 | -46.50 Mn |
| Feb 1, 2026 | 583.20 Mn |
| Nov 2, 2025 | -44.50 Mn |
| Aug 3, 2025 | 213.10 Mn |
| May 4, 2025 | -71.40 Mn |
| Feb 2, 2025 | 486.50 Mn |
| Nov 3, 2024 | 28.70 Mn |
| Aug 4, 2024 | 292.40 Mn |
| May 5, 2024 | -66.70 Mn |
| Feb 4, 2024 | 657.70 Mn |
| Oct 29, 2023 | 115.50 Mn |
| Jul 30, 2023 | 271.60 Mn |
| Apr 30, 2023 | -75.40 Mn |
| Jan 29, 2023 | 314.90 Mn |
| Oct 30, 2022 | -112.60 Mn |
| Jul 31, 2022 | -466.50 Mn |
| May 1, 2022 | 303.40 Mn |
| Jan 30, 2022 | 1.65 Bn |
| Oct 31, 2021 | -251.00 Mn |
Pvh Cash from Operations 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=cash-from-operations&ticker=PVH&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-from-operations", "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=cash-from-operations&ticker=PVH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();