Pvh (PVH) Accumulated Expenses (2009 - 2026)
Pvh's (PVH) quarterly Accumulated Expenses came in at $703.7 million in Q3 2026, down 3.48% year-over-year from $729.1 million in Q3 2025, and little changed quarter-over-quarter from $704.2 million in Q2 2026.
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Analysis
Pvh (PVH) Accumulated Expenses (2009 - 2026) Analysis & Trends
Pvh (PVH) has reported Accumulated Expenses for 18 consecutive years, with $703.7 million the latest figure, recorded in Q3 2026.
- On a quarterly basis, Accumulated Expenses fell 3.48% year-over-year to $703.7 million in Q3 2026; TTM through Aug 2026 was $703.7 million, a 3.48% decrease from a year earlier, with the FY2026 full-year figure at $820.6 million, up 11.56% from the prior year.
- Accumulated Expenses was $703.7 million for Q3 2026 at Pvh, roughly flat from $704.2 million in the prior quarter.
- Over five years, Accumulated Expenses peaked at $1.1 billion in Q1 2022 and troughed at $643.0 million in Q2 2024.
- A 5-year average of $792.6 million and a median of $776.2 million in 2024 frame the typical range for Accumulated Expenses.
- Across the five-year window, Accumulated Expenses decreased 20.6% in 2023 and advanced 18.85% in 2025, its largest moves.
- Over 5 years, Accumulated Expenses stood at $891.7 million in 2022, then dropped by 10.81% to $795.3 million in 2023, then decreased by 11.22% to $706.1 million in 2024, then advanced by 13.04% to $798.2 million in 2025, then slipped by 11.84% to $703.7 million in 2026.
- The last three Accumulated Expenses figures came in at $703.7 million (Q3 2026), $704.2 million (Q2 2026), and $820.6 million (Q1 2026), per Business Quant data.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Lululemon Athletica | 10.45 Bn | 9.06 Bn | 1.46 Bn |
| 2 | Levi Strauss | 7.65 Bn | 6.67 Bn | 979.10 Mn |
| 3 | Gildan Activewear | 7.18 Bn | 6.91 Bn | 459.76 Mn |
| 4 | V F | 5.02 Bn | 4.35 Bn | 917.04 Mn |
| 5 | Kontoor Brands | 3.63 Bn | 3.57 Bn | 328.26 Mn |
| 6 | Pvh | 3.38 Bn | 2.42 Bn | 1.32 Bn |
| 7 | Columbia Sportswear | 2.91 Bn | 2.29 Bn | 358.43 Mn |
| 8 | Warby Parker | 2.78 Bn | 2.48 Bn | 136.46 Mn |
| 9 | Figs | 2.06 Bn | 1.76 Bn | 147.86 Mn |
| 10 | Under Armour | 2.04 Bn | 1.65 Bn | 593.83 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Aug 2, 2026 | 703.70 Mn |
| May 3, 2026 | 704.20 Mn |
| Feb 1, 2026 | 820.60 Mn |
| Nov 2, 2025 | 798.20 Mn |
| Aug 3, 2025 | 729.10 Mn |
| May 4, 2025 | 764.20 Mn |
| Feb 2, 2025 | 735.60 Mn |
| Nov 3, 2024 | 706.10 Mn |
| Aug 4, 2024 | 676.20 Mn |
| May 5, 2024 | 643.00 Mn |
| Feb 4, 2024 | 776.20 Mn |
| Oct 29, 2023 | 795.30 Mn |
| Jul 30, 2023 | 773.60 Mn |
| Apr 30, 2023 | 802.10 Mn |
| Jan 29, 2023 | 874.00 Mn |
| Oct 30, 2022 | 891.70 Mn |
| Jul 31, 2022 | 844.90 Mn |
| May 1, 2022 | 919.10 Mn |
| Jan 30, 2022 | 1.10 Bn |
| Oct 31, 2021 | 1.12 Bn |
API Access
Pvh Accumulated 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=accumulated-expenses&ticker=PVH&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-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=accumulated-expenses&ticker=PVH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();