Pvh (PVH) EBITDA (2009 - 2026)
Pvh's EBITDA came in at -$133.6 million for fiscal Q2 2027 (quarter ended Aug 2, 2026), compared with $201.9 million a year earlier.
Pvh (PVH) EBITDA (2009 - 2026) Analysis & Trends
Over the trailing twelve months to Aug 2, 2026, Pvh reported EBITDA of $618.8 million, up 31.4% year-over-year; for FY2026 (ended Feb 1, 2026), it came in at $502.9 million, down 52.3% from FY2025.
- Going back by fiscal year, EBITDA was $1.05 billion in FY2025 (-14.1%), $1.23 billion in FY2024 (+58.9%), $772.2 million in FY2023 (-44.5%) and $1.39 billion in FY2022.
- The fiscal Q2 2027 figure represents the lowest quarterly EBITDA since fiscal Q1 2026.
- Year-over-year, EBITDA increased in 1 of the last five quarters, with an average decline of 11.6%.
- The fastest year-over-year change in EBITDA over five years came in fiscal Q4 2022 (growth of 171.1%), and the weakest in fiscal Q4 2025 (a decline of 35.1%).
- Business Quant data shows PVH's EBITDA at $186.9 million (Q1 2027), $315.3 million (Q4 2026) and $250.2 million (Q3 2026) in the three fiscal quarters before Q2 2027.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Nike | 52.47 Bn | 18.46 Bn | 5.39 Bn | 1.50 Bn |
| 2 | Tapestry | 23.05 Bn | 19.01 Bn | 1.56 Bn | 500.90 Mn |
| 3 | Ralph Lauren | 21.35 Bn | 13.45 Bn | 1.44 Bn | 401.30 Mn |
| 4 | Deckers Outdoor | 11.12 Bn | 3.99 Bn | - | - |
| 5 | Lululemon Athletica | 10.25 Bn | 4.50 Bn | 1.46 Bn | 595.99 Mn |
| 6 | Levi Strauss | 7.60 Bn | 4.25 Bn | 979.10 Mn | 179.40 Mn |
| 7 | Gildan Activewear | 6.52 Bn | 5.51 Bn | 459.76 Mn | 244.22 Mn |
| 8 | Birkenstock Holding | 5.97 Bn | 4.27 Bn | 493.89 Mn | 244.59 Mn |
| 9 | Crocs | 5.64 Bn | 5.06 Bn | 700.71 Mn | 305.72 Mn |
| 10 | Pvh | 3.42 Bn | 999.79 Mn | 1.32 Bn | -133.60 Mn |
Historic Data
| Date | Value |
|---|---|
| Aug 2, 2026 | -133.60 Mn |
| May 3, 2026 | 186.90 Mn |
| Feb 1, 2026 | 315.30 Mn |
| Nov 2, 2025 | 250.20 Mn |
| Aug 3, 2025 | 201.90 Mn |
| May 4, 2025 | -264.50 Mn |
| Feb 2, 2025 | 280.80 Mn |
| Nov 3, 2024 | 252.80 Mn |
| Aug 4, 2024 | 243.70 Mn |
| May 5, 2024 | 277.20 Mn |
| Feb 4, 2024 | 432.50 Mn |
| Oct 29, 2023 | 305.00 Mn |
| Jul 30, 2023 | 218.80 Mn |
| Apr 30, 2023 | 271.10 Mn |
| Jan 29, 2023 | 373.60 Mn |
| Oct 30, 2022 | -140.90 Mn |
| Jul 31, 2022 | 252.40 Mn |
| May 1, 2022 | 287.10 Mn |
| Jan 30, 2022 | 303.40 Mn |
| Oct 31, 2021 | 454.50 Mn |
Pvh EBITDA 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=ebitda&ticker=PVH&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=PVH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();