Mineralys Therapeutics (MLYS) Shares Outstanding (Diluted) (2022 - 2026)
Mineralys Therapeutics (MLYS) posted Shares Outstanding (Diluted) of 84.73 million for Q2 2026, up 29.5% from 65.45 million a year earlier and up 2.3% from the prior quarter.
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Analysis
Mineralys Therapeutics (MLYS) Shares Outstanding (Diluted) (2022 - 2026) Analysis & Trends
For FY2025, Mineralys Therapeutics' Shares Outstanding (Diluted) came in at 67.66 million, up 39.4% from FY2024.
- Annual Shares Outstanding (Diluted) has increased for three consecutive years, with a three-year compound annual growth rate of 135.7% (FY2022 to FY2025).
- In prior years, Mineralys Therapeutics' Shares Outstanding (Diluted) was 48.54 million in FY2024 (+34.1%), 36.19 million in FY2023 (+600.3%) and 5.17 million in FY2022.
- The Q2 2026 figure stands as the highest quarterly Shares Outstanding (Diluted) in data going back to Q1 2022.
- On a year-over-year basis, Shares Outstanding (Diluted) has increased in each of the last 14 quarters, with growth averaging 34.5% over the last eight quarters.
- Across the past five years, year-over-year growth in Shares Outstanding (Diluted) ran from 18.4% in Q1 2025 to 671.6% in Q2 2023.
- According to Business Quant data, Shares Outstanding (Diluted) for the three prior quarters was 82.83 million (Q1 2026), 67.66 million (Q4 2025) and 70.59 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Dil.) (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 638.12 Bn | 556.64 Bn | 17.26 Bn | 2.44 Bn |
| 2 | AbbVie | 462.60 Bn | 435.75 Bn | 12.70 Bn | 1.77 Bn |
| 3 | Merck | 358.70 Bn | 313.13 Bn | 12.21 Bn | 2.47 Bn |
| 4 | Novartis Ag | 272.16 Bn | 228.03 Bn | 11.24 Bn | 1.96 Bn |
| 5 | Astrazeneca | 250.36 Bn | 223.92 Bn | 12.86 Bn | 1.56 Bn |
| 6 | Amgen | 227.87 Bn | 183.27 Bn | 7.24 Bn | 544.00 Mn |
| 7 | Gilead Sciences | 184.97 Bn | 159.08 Bn | 6.22 Bn | 1.24 Bn |
| 8 | Pfizer | 162.61 Bn | 109.56 Bn | 10.94 Bn | 5.70 Bn |
| 9 | Vertex Pharmaceuticals | 132.45 Bn | 104.46 Bn | 2.84 Bn | 255.20 Mn |
| 10 | Mineralys Therapeutics | 2.22 Bn | 2.22 Bn | - | 84.73 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 84.73 Mn |
| Mar 31, 2026 | 82.83 Mn |
| Dec 31, 2025 | 67.66 Mn |
| Sep 30, 2025 | 70.59 Mn |
| Jun 30, 2025 | 65.45 Mn |
| Mar 31, 2025 | 53.16 Mn |
| Dec 31, 2024 | 48.54 Mn |
| Sep 30, 2024 | 49.82 Mn |
| Jun 30, 2024 | 49.36 Mn |
| Mar 31, 2024 | 44.90 Mn |
| Dec 31, 2023 | 36.19 Mn |
| Sep 30, 2023 | 39.93 Mn |
| Jun 30, 2023 | 39.75 Mn |
| Mar 31, 2023 | 24.76 Mn |
| Dec 31, 2022 | 5.17 Mn |
| Sep 30, 2022 | 5.18 Mn |
| Jun 30, 2022 | 5.15 Mn |
| Mar 31, 2022 | 5.12 Mn |
API Access
Mineralys Therapeutics 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=MLYS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-diluted", "ticker": "MLYS", "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=MLYS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();