Verastem (VSTM) Shares Outstanding (Diluted) (2015 - 2026)
Verastem (VSTM) recorded Shares Outstanding (Diluted) of 100.12 million in Q2 2026, up 35.2% from 74.04 million a year earlier and up 1.0% from the prior quarter.
Verastem (VSTM) Shares Outstanding (Diluted) (2015 - 2026) Analysis & Trends
For FY2025, Verastem reported Shares Outstanding (Diluted) of 69.31 million, up 94.1% from FY2024.
- Annual Shares Outstanding (Diluted) has increased for nine straight years, with a five-year compound annual growth rate of 40.2% (FY2020 to FY2025).
- Across earlier years, Shares Outstanding (Diluted) came in at 35.71 million in FY2024 (+61.9%), 22.05 million in FY2023 (+36.7%), 16.14 million in FY2022 (+11.0%) and 14.53 million in FY2021 (+13.7%).
- The Q2 2026 figure is the highest quarterly Shares Outstanding (Diluted) in data going back to Q4 2016.
- On a year-over-year basis, Shares Outstanding (Diluted) has increased for 35 consecutive quarters, with growth averaging 85.5% over the last eight quarters.
- The year-over-year growth in Shares Outstanding (Diluted) has ranged between 6.0% (Q3 2021) and 175.6% (Q2 2025) over the last five years.
- Per Business Quant, the preceding three quarters came in at 99.15 million (Q1 2026), 69.31 million (Q4 2025) and 73.16 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Dil.) (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,348.13 Bn | 1,321.74 Bn | 20.46 Bn | 893.40 Mn |
| 2 | Johnson & Johnson | 675.90 Bn | 595.76 Bn | 17.30 Bn | 2.45 Bn |
| 3 | AbbVie | 519.45 Bn | 487.50 Bn | 13.12 Bn | 1.77 Bn |
| 4 | Merck | 364.95 Bn | 327.95 Bn | 13.19 Bn | 2.48 Bn |
| 5 | Novartis Ag | 311.58 Bn | 285.16 Bn | - | 1.96 Bn |
| 6 | Astrazeneca | 289.34 Bn | 262.94 Bn | 13.26 Bn | 1.56 Bn |
| 7 | Amgen | 251.64 Bn | 203.30 Bn | 7.58 Bn | 546.00 Mn |
| 8 | Gilead Sciences | 212.05 Bn | 187.07 Bn | 6.73 Bn | 1.25 Bn |
| 9 | Pfizer | 167.35 Bn | 115.00 Bn | 12.56 Bn | 5.75 Bn |
| 10 | Verastem | 824.71 Mn | 172.86 Mn | 20.35 Mn | 101.24 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 101.24 Mn |
| Jun 30, 2026 | 100.12 Mn |
| Mar 31, 2026 | 99.15 Mn |
| Dec 31, 2025 | 69.31 Mn |
| Sep 30, 2025 | 73.16 Mn |
| Jun 30, 2025 | 74.04 Mn |
| Mar 31, 2025 | 54.17 Mn |
| Dec 31, 2024 | 35.71 Mn |
| Sep 30, 2024 | 40.26 Mn |
| Jun 30, 2024 | 26.86 Mn |
| Mar 31, 2024 | 26.83 Mn |
| Dec 31, 2023 | 22.05 Mn |
| Sep 30, 2023 | 26.79 Mn |
| Jun 30, 2023 | 17.73 Mn |
| Mar 31, 2023 | 16.72 Mn |
| Dec 31, 2022 | 16.14 Mn |
| Sep 30, 2022 | 16.43 Mn |
| Jun 30, 2022 | 15.54 Mn |
| Mar 31, 2022 | 15.52 Mn |
| Dec 31, 2021 | 14.53 Mn |
Verastem 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=VSTM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-diluted", "ticker": "VSTM", "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=VSTM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();