Alnylam Pharmaceuticals (ALNY) Shares Outstanding (Diluted) (2019 - 2026)
Alnylam Pharmaceuticals (ALNY) recorded Shares Outstanding (Diluted) of 138.28 million in Q2 2026, up 5.9% from 130.63 million a year earlier and unchanged from the prior quarter.
Alnylam Pharmaceuticals (ALNY) Shares Outstanding (Diluted) (2019 - 2026) Analysis & Trends
For FY2025, Alnylam Pharmaceuticals reported Shares Outstanding (Diluted) of 134.68 million, up 5.5% from FY2024.
- Annual Shares Outstanding (Diluted) has increased for six straight years, with a five-year compound annual growth rate of 3.2% (FY2020 to FY2025).
- Across earlier years, Shares Outstanding (Diluted) came in at 127.65 million in FY2024 (+2.2%), 124.91 million in FY2023 (+2.6%), 121.69 million in FY2022 (+2.7%) and 118.45 million in FY2021 (+3.0%).
- The Q2 2026 figure is the highest quarterly Shares Outstanding (Diluted) in data going back to Q4 2019.
- On a year-over-year basis, Shares Outstanding (Diluted) has increased for seven consecutive quarters, with growth averaging 3.8% over the last eight quarters.
- Peak year-over-year performance for Shares Outstanding (Diluted) in the last five years was growth of 7.5% in Q3 2023, against a decline of 2.1% in Q3 2024 at the low end.
- Per Business Quant, the preceding three quarters came in at 138.23 million (Q1 2026), 134.68 million (Q4 2025) and 137.35 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Dil.) (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 653.54 Bn | 572.07 Bn | 17.26 Bn | 2.44 Bn |
| 2 | AbbVie | 467.01 Bn | 440.17 Bn | 12.70 Bn | 1.77 Bn |
| 3 | Merck | 367.16 Bn | 321.59 Bn | 12.21 Bn | 2.47 Bn |
| 4 | Novartis Ag | 277.56 Bn | 233.43 Bn | 11.24 Bn | 1.96 Bn |
| 5 | Astrazeneca | 258.23 Bn | 231.79 Bn | 12.86 Bn | 1.56 Bn |
| 6 | Amgen | 224.14 Bn | 179.54 Bn | 7.24 Bn | 544.00 Mn |
| 7 | Gilead Sciences | 187.30 Bn | 161.42 Bn | 6.22 Bn | 1.24 Bn |
| 8 | Pfizer | 163.47 Bn | 110.41 Bn | 10.94 Bn | 5.70 Bn |
| 9 | Vertex Pharmaceuticals | 133.31 Bn | 105.31 Bn | 2.84 Bn | 255.20 Mn |
| 10 | Alnylam Pharmaceuticals | 34.23 Bn | 22.28 Bn | 992.69 Mn | 138.28 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 138.28 Mn |
| Mar 31, 2026 | 138.23 Mn |
| Dec 31, 2025 | 134.68 Mn |
| Sep 30, 2025 | 137.35 Mn |
| Jun 30, 2025 | 130.63 Mn |
| Mar 31, 2025 | 129.68 Mn |
| Dec 31, 2024 | 127.65 Mn |
| Sep 30, 2024 | 128.59 Mn |
| Jun 30, 2024 | 126.73 Mn |
| Mar 31, 2024 | 126.14 Mn |
| Dec 31, 2023 | 124.91 Mn |
| Sep 30, 2023 | 131.34 Mn |
| Jun 30, 2023 | 124.66 Mn |
| Mar 31, 2023 | 124.11 Mn |
| Dec 31, 2022 | 121.69 Mn |
| Sep 30, 2022 | 122.17 Mn |
| Jun 30, 2022 | 120.90 Mn |
| Mar 31, 2022 | 120.39 Mn |
| Dec 31, 2021 | 118.45 Mn |
| Sep 30, 2021 | 119.14 Mn |
Alnylam Pharmaceuticals 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=ALNY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-diluted", "ticker": "ALNY", "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=ALNY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();