Mineralys Therapeutics (MLYS) Shares Outstanding (Entity) (2022 - 2026)
Mineralys Therapeutics' Shares Outstanding (Entity) was 88.35 million in Q2 2026, up 34.4% from 65.73 million a year earlier and up 7.2% from the prior quarter.
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Analysis
Mineralys Therapeutics (MLYS) Shares Outstanding (Entity) (2022 - 2026) Analysis & Trends
For FY2025, Shares Outstanding (Entity) at Mineralys Therapeutics came in at 67.66 million, up 35.8% from FY2024.
- Shares Outstanding (Entity) has now increased for three consecutive years, with a three-year compound annual growth rate of 135.7% (FY2022 to FY2025).
- In earlier years, Shares Outstanding (Entity) was 49.82 million in FY2024 (+21.1%), 41.13 million in FY2023 (+696.0%) and 5.17 million in FY2022.
- The Q2 2026 figure marks the highest quarterly Shares Outstanding (Entity) in data going back to Q1 2022.
- Compared with a year earlier, Shares Outstanding (Entity) has increased for 14 straight quarters, with growth averaging 33.2% over the last eight quarters.
- Across the past five years, year-over-year growth in Shares Outstanding (Entity) ran from 7.1% in Q1 2025 to 696.0% in Q4 2023.
- Per Business Quant data, MLYS's Shares Outstanding (Entity) in the three quarters before Q2 2026 was 82.45 million (Q1 2026), 67.66 million (Q4 2025) and 78.97 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Entity.) (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 638.12 Bn | 556.64 Bn | 17.26 Bn | 2.41 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 | - |
| 5 | Astrazeneca | 250.36 Bn | 223.92 Bn | 12.86 Bn | - |
| 6 | Amgen | 227.87 Bn | 183.27 Bn | 7.24 Bn | 540.60 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 | 253.35 Mn |
| 10 | Mineralys Therapeutics | 2.22 Bn | 2.22 Bn | - | 88.35 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 88.35 Mn |
| Mar 31, 2026 | 82.45 Mn |
| Dec 31, 2025 | 67.66 Mn |
| Sep 30, 2025 | 78.97 Mn |
| Jun 30, 2025 | 65.73 Mn |
| Mar 31, 2025 | 53.16 Mn |
| Dec 31, 2024 | 49.82 Mn |
| Sep 30, 2024 | 49.76 Mn |
| Jun 30, 2024 | 49.71 Mn |
| Mar 31, 2024 | 49.63 Mn |
| Dec 31, 2023 | 41.13 Mn |
| Sep 30, 2023 | 41.11 Mn |
| Jun 30, 2023 | 40.86 Mn |
| Mar 31, 2023 | 24.76 Mn |
| Dec 31, 2022 | 5.17 Mn |
| Sep 30, 2022 | 5.18 Mn |
| Jun 30, 2022 | 5.61 Mn |
| Mar 31, 2022 | 5.61 Mn |
API Access
Mineralys Therapeutics Shares Outstanding (Entity) 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-entity&ticker=MLYS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-entity", "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-entity&ticker=MLYS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();