Perfect Moment (PMNT) EPS (Diluted) (2022 - 2026)
Perfect Moment's EPS (Diluted) came in at -$0.07 for fiscal Q1 2027 (quarter ended Jun 30, 2026), compared with -$0.21 a year earlier.
Perfect Moment (PMNT) EPS (Diluted) (2022 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Perfect Moment reported EPS (Diluted) of -$0.14; for FY2026 (ended Mar 31, 2026), it came in at -$0.23.
- Going back by fiscal year, EPS (Diluted) was -$0.99 in FY2025, -$1.34 in FY2024 and -$2.16 in FY2023.
- The five-year range for quarterly EPS (Diluted) is -$0.88 (fiscal Q4 2024) to $0.24 (fiscal Q3 2023).
- Business Quant data shows PMNT's EPS (Diluted) at -$0.05 (Q4 2026), $0.00 (Q3 2026) and -$0.06 (Q2 2026) in the three fiscal quarters before Q1 2027.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EPS (Diluted) (Qtr) |
|---|---|---|---|---|---|
| 1 | Nike | 53.94 Bn | 19.93 Bn | 5.39 Bn | 0.72 |
| 2 | Tapestry | 22.74 Bn | 18.69 Bn | 1.56 Bn | 1.65 |
| 3 | Ralph Lauren | 21.47 Bn | 13.57 Bn | 1.44 Bn | 4.28 |
| 4 | Deckers Outdoor | 11.15 Bn | 4.02 Bn | - | - |
| 5 | Lululemon Athletica | 10.72 Bn | 4.97 Bn | 1.46 Bn | 2.92 |
| 6 | Levi Strauss | 7.64 Bn | 4.29 Bn | 979.10 Mn | 0.22 |
| 7 | Gildan Activewear | 6.52 Bn | 5.51 Bn | 459.76 Mn | -0.31 |
| 8 | Birkenstock Holding | 6.06 Bn | 4.37 Bn | 493.89 Mn | 0.68 |
| 9 | Crocs | 5.89 Bn | 5.30 Bn | 700.71 Mn | 4.13 |
| 10 | Perfect Moment | 6.38 Mn | 2.57 Mn | 627,000.00 | -0.07 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -0.07 |
| Mar 31, 2026 | -0.05 |
| Dec 31, 2025 | 0.00 |
| Sep 30, 2025 | -0.06 |
| Jun 30, 2025 | -0.21 |
| Mar 31, 2025 | -0.46 |
| Dec 31, 2024 | -0.15 |
| Sep 30, 2024 | -0.17 |
| Jun 30, 2024 | -0.22 |
| Mar 31, 2024 | -0.88 |
| Dec 31, 2023 | 0.08 |
| Sep 30, 2023 | -0.29 |
| Jun 30, 2023 | -0.55 |
| Mar 31, 2023 | -0.52 |
| Dec 31, 2022 | 0.24 |
Perfect Moment EPS (Diluted) 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=eps-diluted&ticker=PMNT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "eps-diluted", "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=eps-diluted&ticker=PMNT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();