Siga Technologies (SIGA) Shares Outstanding (Diluted) (2010 - 2025)
Siga Technologies' Shares Outstanding (Diluted) was 71.6 million in Q4 2025, down 0.4% from 71.91 million a year earlier and unchanged from the prior quarter.
Powered by 
Analysis
Siga Technologies (SIGA) Shares Outstanding (Diluted) (2010 - 2025) Analysis & Trends
From Q2 2010 onward, Siga Technologies has reported Shares Outstanding (Diluted) for 63 quarters.
- Shares Outstanding (Diluted) shows a five-year compound annual growth rate of -2.1% (FY2020 to FY2025).
- In earlier years, Shares Outstanding (Diluted) was 71.91 million in FY2024 (+0.3%), 71.68 million in FY2023 (-2.5%), 73.55 million in FY2022 (-3.7%) and 76.4 million in FY2021 (-3.8%).
- Quarterly Shares Outstanding (Diluted) has moved between 71.08 million (Q3 2023) and 77.57 million (Q1 2021) over five years.
- Compared with a year earlier, Shares Outstanding (Diluted) was higher in three of the last eight quarters, with growth averaging 0.1%.
- The best year-over-year quarter for Shares Outstanding (Diluted) over five years was Q3 2024 (growth of 1.0%); the worst was Q2 2021 (a decline of 4.8%).
- Per Business Quant data, SIGA's Shares Outstanding (Diluted) in the three quarters before Q4 2025 was 71.6 million (Q3 2025), 71.75 million (Q2 2025) and 71.43 million (Q1 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 | Siga Technologies | 243.48 Mn | -428.18 Mn | - | 71.60 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 71.60 Mn |
| Sep 30, 2025 | 71.60 Mn |
| Jun 30, 2025 | 71.75 Mn |
| Mar 31, 2025 | 71.43 Mn |
| Dec 31, 2024 | 71.91 Mn |
| Sep 30, 2024 | 71.77 Mn |
| Jun 30, 2024 | 71.75 Mn |
| Mar 31, 2024 | 71.56 Mn |
| Dec 31, 2023 | 71.68 Mn |
| Sep 30, 2023 | 71.08 Mn |
| Jun 30, 2023 | 71.09 Mn |
| Mar 31, 2023 | 72.20 Mn |
| Dec 31, 2022 | 73.55 Mn |
| Sep 30, 2022 | 73.26 Mn |
| Jun 30, 2022 | 73.33 Mn |
| Mar 31, 2022 | 73.88 Mn |
| Dec 31, 2021 | 76.40 Mn |
| Sep 30, 2021 | 74.84 Mn |
| Jun 30, 2021 | 76.66 Mn |
| Mar 31, 2021 | 77.57 Mn |
API Access
Siga Technologies 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=SIGA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-diluted", "ticker": "SIGA", "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=SIGA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();