Perfect Moment (PMNT) Return on Assets [ROA] (2024 - 2026)
Perfect Moment's Return on Assets [ROA] came in at -63.95% for fiscal Q1 2027 (quarter ended Jun 30, 2026), up 86.40 percentage points from -150.34% a year earlier but down 6.16 percentage points from the prior quarter.
Perfect Moment (PMNT) Return on Assets [ROA] (2024 - 2026) Analysis & Trends
For FY2026 (ended Mar 31, 2026), Perfect Moment's Return on Assets [ROA] was -58.83%, up 63.28 percentage points from FY2025.
- Going back by fiscal year, Return on Assets [ROA] was -122.12% in FY2025 (-44.34 pp) and -77.77% in FY2024.
- The five-year range for quarterly Return on Assets [ROA] is -150.34% (fiscal Q1 2026) to -57.79% (fiscal Q4 2026).
- Business Quant data shows PMNT's Return on Assets [ROA] at -57.79% (Q4 2026), -89.92% (Q3 2026) and -132.30% (Q2 2026) in the three fiscal quarters before Q1 2027.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROA (Qtr) |
|---|---|---|---|---|---|
| 1 | Nike | 50.34 Bn | 16.54 Bn | 4.80 Bn | 8.12% |
| 2 | Tapestry | 23.66 Bn | 19.62 Bn | 1.56 Bn | 23.22% |
| 3 | Ralph Lauren | 21.85 Bn | 13.95 Bn | 1.44 Bn | 12.77% |
| 4 | Deckers Outdoor | 11.26 Bn | 4.14 Bn | - | - |
| 5 | Lululemon Athletica | 10.07 Bn | 4.32 Bn | 1.46 Bn | 16.67% |
| 6 | Levi Strauss | 7.67 Bn | 4.32 Bn | 979.10 Mn | 9.68% |
| 7 | Gildan Activewear | 6.27 Bn | 5.26 Bn | 459.76 Mn | 0.77% |
| 8 | Birkenstock Holding | 6.13 Bn | 4.43 Bn | 493.89 Mn | 6.20% |
| 9 | Crocs | 5.68 Bn | 5.09 Bn | 700.71 Mn | 13.64% |
| 10 | Perfect Moment | 6.38 Mn | 2.57 Mn | 627,000.00 | -63.95% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -63.95% |
| Mar 31, 2026 | -57.79% |
| Dec 31, 2025 | -89.92% |
| Sep 30, 2025 | -132.30% |
| Jun 30, 2025 | -150.34% |
| Sep 30, 2024 | -100.63% |
| Jun 30, 2024 | -84.96% |
| Mar 31, 2024 | -69.94% |
Perfect Moment Return on Assets [ROA] 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-assets-%5Broa%5D&ticker=PMNT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-assets-[roa]", "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-assets-%5Broa%5D&ticker=PMNT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();