Perfect Moment (PMNT) Shares Outstanding (Diluted) (2022 - 2026)
Perfect Moment (PMNT) posted Shares Outstanding (Diluted) of 50.62 million for fiscal Q1 2027 (quarter ended Jun 30, 2026), up 161.9% from 19.33 million a year earlier and up 53.0% from the prior quarter.
Powered by 
Analysis
Perfect Moment (PMNT) Shares Outstanding (Diluted) (2022 - 2026) Analysis & Trends
For FY2026 (ended Mar 31, 2026), Perfect Moment's Shares Outstanding (Diluted) came in at 33.07 million, up 105.5% from FY2025.
- Annual Shares Outstanding (Diluted) has increased for three consecutive fiscal years, with a three-year compound annual growth rate of 90.7% (FY2023 to FY2026).
- In prior fiscal years, Perfect Moment's Shares Outstanding (Diluted) was 16.1 million in FY2025 (+146.9%), 6.52 million in FY2024 (+36.7%) and 4.77 million in FY2023.
- The fiscal Q1 2027 figure stands as the highest quarterly Shares Outstanding (Diluted) in data going back to fiscal Q3 2023.
- On a year-over-year basis, Shares Outstanding (Diluted) has increased in each of the last 11 quarters, with growth averaging 110.1% over the last eight quarters.
- The year-over-year growth in Shares Outstanding (Diluted) has ranged between 3.3% (fiscal Q3 2024) and 222.5% (fiscal Q1 2025) over the last five years.
- According to Business Quant data, Shares Outstanding (Diluted) for the three prior fiscal quarters was 33.07 million (Q4 2026), 35.22 million (Q3 2026) and 32.76 million (Q2 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Dil.) (Qtr) |
|---|---|---|---|---|---|
| 1 | Nike | 52.47 Bn | 18.46 Bn | 5.39 Bn | 1.48 Bn |
| 2 | Tapestry | 23.05 Bn | 19.01 Bn | 1.56 Bn | 210.20 Mn |
| 3 | Ralph Lauren | 21.35 Bn | 13.45 Bn | 1.44 Bn | 61.30 Mn |
| 4 | Deckers Outdoor | 11.12 Bn | 3.99 Bn | - | 144.29 Mn |
| 5 | Lululemon Athletica | 10.25 Bn | 4.50 Bn | 1.46 Bn | 112.92 Mn |
| 6 | Levi Strauss | 7.60 Bn | 4.25 Bn | 979.10 Mn | 389.63 Mn |
| 7 | Gildan Activewear | 6.52 Bn | 5.51 Bn | 459.76 Mn | 160.20 Mn |
| 8 | Birkenstock Holding | 5.97 Bn | 4.27 Bn | 493.89 Mn | 186.51 Mn |
| 9 | Crocs | 5.64 Bn | 5.06 Bn | 700.71 Mn | 49.63 Mn |
| 10 | Perfect Moment | 6.92 Mn | 3.10 Mn | 627,000.00 | 50.62 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 50.62 Mn |
| Mar 31, 2026 | 33.07 Mn |
| Dec 31, 2025 | 35.22 Mn |
| Sep 30, 2025 | 32.76 Mn |
| Jun 30, 2025 | 19.33 Mn |
| Mar 31, 2025 | 16.10 Mn |
| Dec 31, 2024 | 16.18 Mn |
| Sep 30, 2024 | 15.78 Mn |
| Jun 30, 2024 | 15.65 Mn |
| Mar 31, 2024 | 6.52 Mn |
| Dec 31, 2023 | 14.24 Mn |
| Sep 30, 2023 | 5.19 Mn |
| Jun 30, 2023 | 4.85 Mn |
| Mar 31, 2023 | 4.77 Mn |
| Dec 31, 2022 | 13.78 Mn |
API Access
Perfect Moment Shares Outstanding (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=shares-outstanding-diluted&ticker=PMNT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-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=shares-outstanding-diluted&ticker=PMNT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();