Perfect Moment (PMNT) Return on Sales [ROS] (2022 - 2026)
Perfect Moment (PMNT) recorded Return on Sales [ROS] of -283.48% in fiscal Q1 2027 (quarter ended Jun 30, 2026), down 75.94 percentage points from -207.54% a year earlier and down 254.92 percentage points from the prior quarter.
Perfect Moment (PMNT) Return on Sales [ROS] (2022 - 2026) Analysis & Trends
On a TTM basis, Perfect Moment's Return on Sales [ROS] came in at -23.39% as of Jun 30, 2026, up 37.79 percentage points year-over-year; for FY2026 (ended Mar 31, 2026), it came in at -22.20%, up 41.96 percentage points from FY2025.
- Annual Return on Sales [ROS] has a three-year change of +14.60 percentage points (FY2023 to FY2026).
- Across earlier fiscal years, Return on Sales [ROS] came in at -64.16% in FY2025 (-32.76 pp), -31.40% in FY2024 (+5.40 pp) and -36.80% in FY2023.
- The fiscal Q1 2027 figure is the lowest quarterly Return on Sales [ROS] since fiscal Q1 2025.
- On a year-over-year basis, Return on Sales [ROS] rose in four of the last eight quarters, with an average year-over-year change of +16.05 percentage points.
- Peak year-over-year performance for Return on Sales [ROS] in the last five years was a gain of 141.02 percentage points in fiscal Q1 2026, against a drop of 75.94 percentage points in fiscal Q1 2027 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at -28.55% (Q4 2026), 5.00% (Q3 2026) and -23.87% (Q2 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 | Perfect Moment | 6.38 Mn | 2.57 Mn | 627,000.00 | -283.48% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -283.48% |
| Mar 31, 2026 | -28.55% |
| Dec 31, 2025 | 5.00% |
| Sep 30, 2025 | -23.87% |
| Jun 30, 2025 | -207.54% |
| Mar 31, 2025 | -130.13% |
| Dec 31, 2024 | -11.10% |
| Sep 30, 2024 | -66.71% |
| Jun 30, 2024 | -348.56% |
| Mar 31, 2024 | -111.36% |
| Dec 31, 2023 | 5.72% |
| Sep 30, 2023 | -5.13% |
| Jun 30, 2023 | -274.19% |
| Mar 31, 2023 | -66.18% |
| Dec 31, 2022 | 14.37% |
Perfect Moment 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=PMNT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "PMNT", "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=PMNT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();