Insmed (INSM) Shares Outstanding (Diluted) (2009 - 2026)
Insmed's Weighted Average Shares Outstanding (Diluted) came in at 217.35 million for Q3 2026, up 2.6% from 211.76 million a year earlier and unchanged from the prior quarter.
Insmed (INSM) Shares Outstanding (Diluted) (2009 - 2026) Analysis & Trends
For FY2025, Insmed's Weighted Average Shares Outstanding (Diluted) was 199.01 million, up 21.3% from FY2024.
- Weighted Average Shares Outstanding (Diluted) has increased in each of the last 15 years, with a five-year compound annual growth rate of 15.3% (FY2020 to FY2025).
- Going back by year, Weighted Average Shares Outstanding (Diluted) was 164.04 million in FY2024 (+16.8%), 140.43 million in FY2023 (+14.1%), 123.04 million in FY2022 (+9.7%) and 112.11 million in FY2021 (+14.9%).
- Year-over-year, Weighted Average Shares Outstanding (Diluted) has increased for 62 consecutive quarters, with growth averaging 17.6% over the last eight quarters.
- The year-over-year growth in Weighted Average Shares Outstanding (Diluted) has ranged between 2.6% (Q3 2026) and 22.4% (Q2 2025) over the last five years.
- Business Quant data shows INSM's Weighted Average Shares Outstanding (Diluted) at 217.35 million (Q2 2026), 215.47 million (Q1 2026) and 199.01 million (Q4 2025) in the three quarters before Q3 2026.
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 | Insmed | 26.21 Bn | 21.25 Bn | 446.21 Mn | 218.79 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 218.79 Mn |
| Jun 30, 2026 | 217.35 Mn |
| Mar 31, 2026 | 215.47 Mn |
| Dec 31, 2025 | 199.01 Mn |
| Sep 30, 2025 | 211.76 Mn |
| Jun 30, 2025 | 189.30 Mn |
| Mar 31, 2025 | 180.86 Mn |
| Dec 31, 2024 | 164.04 Mn |
| Sep 30, 2024 | 173.72 Mn |
| Jun 30, 2024 | 154.70 Mn |
| Mar 31, 2024 | 148.46 Mn |
| Dec 31, 2023 | 140.43 Mn |
| Sep 30, 2023 | 142.90 Mn |
| Jun 30, 2023 | 137.55 Mn |
| Mar 31, 2023 | 136.36 Mn |
| Dec 31, 2022 | 123.04 Mn |
| Sep 30, 2022 | 120.79 Mn |
| Jun 30, 2022 | 119.60 Mn |
| Mar 31, 2022 | 118.93 Mn |
| Dec 31, 2021 | 112.11 Mn |
Insmed 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=INSM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-diluted", "ticker": "INSM", "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=INSM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();