Pvh (PVH) Return on Sales [ROS] (2009 - 2026)
Pvh (PVH) recorded Return on Sales [ROS] of -9.10% in fiscal Q2 2027 (quarter ended Aug 2, 2026), down 15.25 percentage points from 6.15% a year earlier and down 15.24 percentage points from the prior quarter.
Pvh (PVH) Return on Sales [ROS] (2009 - 2026) Analysis & Trends
On a TTM basis, Pvh's Return on Sales [ROS] came in at 4.07% as of Aug 2, 2026, up 1.86 percentage points year-over-year; for FY2026 (ended Feb 1, 2026), it came in at 2.58%, down 6.35 percentage points from FY2025.
- Annual Return on Sales [ROS] has a five-year change of +17.60 percentage points (FY2021 to FY2026).
- Across earlier fiscal years, Return on Sales [ROS] came in at 8.93% in FY2025 (-1.15 pp), 10.08% in FY2024 (+4.86 pp), 5.22% in FY2023 (-6.55 pp) and 11.76% in FY2022 (+26.79 pp).
- The fiscal Q2 2027 figure is the lowest quarterly Return on Sales [ROS] since fiscal Q1 2026.
- On a year-over-year basis, Return on Sales [ROS] rose in two of the last eight quarters, with an average year-over-year change of -3.51 percentage points.
- Peak year-over-year performance for Return on Sales [ROS] in the last five years was a gain of 22.89 percentage points in fiscal Q1 2027, against a drop of 27.26 percentage points in fiscal Q1 2026 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at 6.14% (Q1 2027), 9.93% (Q4 2026) and 7.88% (Q3 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Nike | 50.34 Bn | 16.54 Bn | 4.80 Bn | 7.92% |
| 2 | Tapestry | 23.66 Bn | 19.62 Bn | 1.56 Bn | 23.57% |
| 3 | Ralph Lauren | 21.85 Bn | 13.95 Bn | 1.44 Bn | 17.47% |
| 4 | Deckers Outdoor | 11.26 Bn | 4.14 Bn | - | - |
| 5 | Lululemon Athletica | 10.07 Bn | 4.32 Bn | 1.46 Bn | 18.78% |
| 6 | Levi Strauss | 7.67 Bn | 4.32 Bn | 979.10 Mn | 7.82% |
| 7 | Gildan Activewear | 6.27 Bn | 5.26 Bn | 459.76 Mn | 11.12% |
| 8 | Birkenstock Holding | 6.13 Bn | 4.43 Bn | 493.89 Mn | 28.22% |
| 9 | Crocs | 5.68 Bn | 5.09 Bn | 700.71 Mn | 24.22% |
| 10 | Pvh | 3.48 Bn | 1.07 Bn | 1.32 Bn | -9.10% |
Historic Data
| Date | Value |
|---|---|
| Aug 2, 2026 | -9.10% |
| May 3, 2026 | 6.14% |
| Feb 1, 2026 | 9.93% |
| Nov 2, 2025 | 7.88% |
| Aug 3, 2025 | 6.15% |
| May 4, 2025 | -16.75% |
| Feb 2, 2025 | 8.86% |
| Nov 3, 2024 | 8.12% |
| Aug 4, 2024 | 8.38% |
| May 5, 2024 | 10.51% |
| Feb 4, 2024 | 14.33% |
| Oct 29, 2023 | 9.73% |
| Jul 30, 2023 | 6.49% |
| Apr 30, 2023 | 9.21% |
| Jan 29, 2023 | 11.95% |
| Oct 30, 2022 | -9.38% |
| Jul 31, 2022 | 8.30% |
| May 1, 2022 | 9.91% |
| Jan 30, 2022 | 9.19% |
| Oct 31, 2021 | 16.17% |
Pvh Return on Sales [ROS] 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=return-on-sales-%5Bros%5D&ticker=PVH&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "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=return-on-sales-%5Bros%5D&ticker=PVH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();