Pvh (PVH) Operating Expenses (2009 - 2026)
Pvh's Operating Expenses came in at $1.11 billion for fiscal Q2 2027 (quarter ended Aug 2, 2026), down 1.5% from $1.13 billion a year earlier but up 3.5% from the prior quarter.
Powered by 
Analysis
Pvh (PVH) Operating Expenses (2009 - 2026) Analysis & Trends
Over the trailing twelve months to Aug 2, 2026, Pvh reported Operating Expenses of $4.53 billion, up 1.4% year-over-year; for FY2026 (ended Feb 1, 2026), it was $4.49 billion, up 1.8% from FY2025.
- Operating Expenses carries a five-year compound annual growth rate of 2.4% (FY2021 to FY2026).
- Going back by fiscal year, Operating Expenses was $4.41 billion in FY2025 (-2.9%), $4.54 billion in FY2024 (+3.8%), $4.38 billion in FY2023 (-1.7%) and $4.45 billion in FY2022 (+11.8%).
- The five-year range for quarterly Operating Expenses is $1.02 billion (fiscal Q1 2025) to $1.26 billion (fiscal Q4 2022).
- Year-over-year, Operating Expenses increased in five of the last eight quarters, with growth averaging 1.1%.
- The fastest year-over-year change in Operating Expenses over five years came in fiscal Q3 2022 (growth of 11.2%), and the weakest in fiscal Q4 2023 (a decline of 5.8%).
- Business Quant data shows PVH's Operating Expenses at $1.07 billion (Q1 2027), $1.22 billion (Q4 2026) and $1.12 billion (Q3 2026) in the three fiscal quarters before Q2 2027.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Nike | 52.47 Bn | 18.46 Bn | 5.39 Bn | 4.08 Bn |
| 2 | Tapestry | 23.05 Bn | 19.01 Bn | 1.56 Bn | 1.12 Bn |
| 3 | Ralph Lauren | 21.35 Bn | 13.45 Bn | 1.44 Bn | 1.10 Bn |
| 4 | Deckers Outdoor | 11.12 Bn | 3.99 Bn | - | - |
| 5 | Lululemon Athletica | 10.25 Bn | 4.50 Bn | 1.46 Bn | 1.01 Bn |
| 6 | Levi Strauss | 7.60 Bn | 4.25 Bn | 979.10 Mn | 856.90 Mn |
| 7 | Gildan Activewear | 6.52 Bn | 5.51 Bn | 459.76 Mn | 283.86 Mn |
| 8 | Birkenstock Holding | 5.97 Bn | 4.27 Bn | 493.89 Mn | -37.80 Mn |
| 9 | Crocs | 5.64 Bn | 5.06 Bn | 700.71 Mn | 415.03 Mn |
| 10 | Pvh | 3.42 Bn | 999.79 Mn | 1.32 Bn | 1.11 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Aug 2, 2026 | 1.11 Bn |
| May 3, 2026 | 1.07 Bn |
| Feb 1, 2026 | 1.22 Bn |
| Nov 2, 2025 | 1.12 Bn |
| Aug 3, 2025 | 1.13 Bn |
| May 4, 2025 | 1.02 Bn |
| Feb 2, 2025 | 1.16 Bn |
| Nov 3, 2024 | 1.15 Bn |
| Aug 4, 2024 | 1.08 Bn |
| May 5, 2024 | 1.02 Bn |
| Feb 4, 2024 | 1.22 Bn |
| Oct 29, 2023 | 1.12 Bn |
| Jul 30, 2023 | 1.14 Bn |
| Apr 30, 2023 | 1.06 Bn |
| Jan 29, 2023 | 1.18 Bn |
| Oct 30, 2022 | 1.09 Bn |
| Jul 31, 2022 | 1.07 Bn |
| May 1, 2022 | 1.04 Bn |
| Jan 30, 2022 | 1.26 Bn |
| Oct 31, 2021 | 1.10 Bn |
API Access
Pvh Operating Expenses 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=operating-expenses&ticker=PVH&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=PVH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();