Pvh (PVH) EV to EBITDA (2010 - 2026)
Pvh's (PVH) EV to EBITDA was 6.00 for fiscal Q2 2027 (quarter ended Aug 2, 2026), down 8.6% from 6.56 a year earlier and down 38.1% from the prior quarter.
Pvh (PVH) EV to EBITDA (2010 - 2026) Analysis & Trends
Over the twelve months ended Aug 2, 2026, Pvh's EV to EBITDA came in at 3.13, down 10.0% year-over-year; for FY2026 (ended Feb 1, 2026), it came in at 4.29, up 13.9% from FY2025.
- By fiscal year, EV to EBITDA came in at 3.76 in FY2025 (-26.6%), 5.13 in FY2024 (-20.2%), 6.43 in FY2023 (+75.8%) and 3.66 in FY2022.
- The fiscal Q2 2027 figure ranks as the lowest quarterly EV to EBITDA since fiscal Q4 2025.
- Year over year, EV to EBITDA gained in two of the last four quarters, with growth averaging 15.2%.
- The high point for year-over-year EV to EBITDA in five years was fiscal Q2 2024 (growth of 166.6%); the low point was fiscal Q1 2023 (a decline of 72.7%).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Nike | 57.28 Bn | 23.48 Bn | 4.80 Bn |
| 2 | Tapestry | 27.14 Bn | 23.10 Bn | 1.56 Bn |
| 3 | Ralph Lauren | 22.63 Bn | 14.55 Bn | 1.63 Bn |
| 4 | Lululemon Athletica | 12.51 Bn | 6.76 Bn | 1.46 Bn |
| 5 | Deckers Outdoor | 11.73 Bn | 4.92 Bn | 895.11 Mn |
| 6 | Levi Strauss | 8.84 Bn | 5.42 Bn | 1.07 Bn |
| 7 | V F | 8.00 Bn | 4.60 Bn | 1.49 Bn |
| 8 | Crocs | 7.20 Bn | 6.60 Bn | 689.73 Mn |
| 9 | Birkenstock Holding | 6.95 Bn | 5.27 Bn | 493.89 Mn |
| 10 | Pvh | 4.13 Bn | 1.72 Bn | 1.32 Bn |
Historic Data
| Date | Value |
|---|---|
| Aug 2, 2026 | 4.90 |
| May 3, 2026 | 3.81 |
| Feb 1, 2026 | 4.29 |
| Nov 2, 2025 | 7.32 |
| Aug 3, 2025 | 6.76 |
| May 4, 2025 | 6.21 |
| Feb 2, 2025 | 3.76 |
| Nov 3, 2024 | 4.08 |
| Aug 4, 2024 | 3.72 |
| May 5, 2024 | 4.82 |
| Feb 4, 2024 | 5.13 |
| Oct 29, 2023 | 3.38 |
| Jul 30, 2023 | 6.86 |
| Apr 30, 2023 | 6.62 |
| Jan 29, 2023 | 6.43 |
| Oct 30, 2022 | 4.07 |
| Jul 31, 2022 | 2.57 |
| May 1, 2022 | 2.94 |
| Jan 30, 2022 | 3.66 |
| Oct 31, 2021 | 5.30 |
Pvh EV to 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=ev-to-ebitda&ticker=PVH&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ev-to-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=ev-to-ebitda&ticker=PVH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();