Perfect Moment (PMNT) Price to Sales (2024 - 2026)
Perfect Moment's (PMNT) Price to Sales came in at 0.23 for fiscal Q1 2027 (quarter ended Jun 30, 2026), down 3.7% from 0.24 a year earlier and down 37.3% from the prior quarter.
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Analysis
Perfect Moment (PMNT) Price to Sales (2024 - 2026) Analysis & Trends
For FY2026 (ended Mar 31, 2026), Perfect Moment's Price to Sales stood at 0.36, down 63.1% from FY2025.
- In prior fiscal years, Perfect Moment's Price to Sales was 0.99 in FY2025 (+3.4%) and 0.95 in FY2024.
- The fiscal Q1 2027 figure stands as the lowest quarterly Price to Sales in data going back to fiscal Q4 2024.
- On a year-over-year basis, Price to Sales has declined in each of the last five quarters, with an average decline of 29.3% over the last six quarters.
- According to Business Quant data, Price to Sales for the three prior fiscal quarters was 0.36 (Q4 2026), 0.65 (Q3 2026) and 0.68 (Q2 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Nike | 50.34 Bn | 16.54 Bn | 4.80 Bn |
| 2 | Tapestry | 23.66 Bn | 19.62 Bn | 1.56 Bn |
| 3 | Ralph Lauren | 21.85 Bn | 13.95 Bn | 1.44 Bn |
| 4 | Deckers Outdoor | 11.26 Bn | 4.14 Bn | - |
| 5 | Lululemon Athletica | 10.07 Bn | 4.32 Bn | 1.46 Bn |
| 6 | Levi Strauss | 7.67 Bn | 4.32 Bn | 979.10 Mn |
| 7 | Gildan Activewear | 6.27 Bn | 5.26 Bn | 459.76 Mn |
| 8 | Birkenstock Holding | 6.13 Bn | 4.43 Bn | 493.89 Mn |
| 9 | Crocs | 5.68 Bn | 5.09 Bn | 700.71 Mn |
| 10 | Perfect Moment | 6.38 Mn | 2.57 Mn | 627,000.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 0.23 |
| Mar 31, 2026 | 0.36 |
| Dec 31, 2025 | 0.65 |
| Sep 30, 2025 | 0.68 |
| Jun 30, 2025 | 0.24 |
| Mar 31, 2025 | 0.99 |
| Dec 31, 2024 | 0.78 |
| Sep 30, 2024 | 0.78 |
| Jun 30, 2024 | 1.38 |
| Mar 31, 2024 | 0.95 |
API Access
Perfect Moment Price to Sales 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=price-to-sales&ticker=PMNT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-sales", "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=price-to-sales&ticker=PMNT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();