Siga Technologies (SIGA) Shares Outstanding (2009 - 2026)
Siga Technologies (SIGA) posted Weighted Average Shares Outstanding of 71.6 million for Q4 2025, up 0.5% from 71.25 million a year earlier and unchanged from the prior quarter.
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Analysis
Siga Technologies (SIGA) Shares Outstanding (2009 - 2026) Analysis & Trends
Since Q2 2010, Siga Technologies has reported Weighted Average Shares Outstanding for 63 quarters.
- Annual Weighted Average Shares Outstanding shows a five-year compound annual growth rate of -2.0% (FY2020 to FY2025).
- In prior years, Siga Technologies' Weighted Average Shares Outstanding was 71.25 million in FY2024 (-0.2%), 71.36 million in FY2023 (-2.1%), 72.93 million in FY2022 (-3.2%) and 75.32 million in FY2021 (-5.0%).
- Quarterly Weighted Average Shares Outstanding has run from a low of 71.08 million in Q3 2023 to a high of 76.76 million in Q1 2021 over five years.
- On a year-over-year basis, Weighted Average Shares Outstanding has increased in each of the last four quarters, with growth averaging 0.1% over the last eight quarters.
- The strongest year-over-year quarter for Weighted Average Shares Outstanding in the past five years was Q4 2025, with growth of 0.5%; the weakest was Q2 2021, with a decline of 5.6%.
- According to Business Quant data, Weighted Average Shares Outstanding for the three prior quarters was 71.6 million (Q3 2025), 71.47 million (Q2 2025) and 71.43 million (Q1 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,348.13 Bn | 1,321.74 Bn | 20.46 Bn | 891.90 Mn |
| 2 | Johnson & Johnson | 675.90 Bn | 595.76 Bn | 17.30 Bn | 2.41 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 | 2.47 Bn |
| 5 | Novartis Ag | 311.58 Bn | 285.16 Bn | - | 1.94 Bn |
| 6 | Astrazeneca | 289.34 Bn | 262.94 Bn | 13.26 Bn | 1.55 Bn |
| 7 | Amgen | 251.64 Bn | 203.30 Bn | 7.58 Bn | 541.00 Mn |
| 8 | Gilead Sciences | 212.05 Bn | 187.07 Bn | 6.73 Bn | 1.24 Bn |
| 9 | Pfizer | 167.35 Bn | 115.00 Bn | 12.56 Bn | 5.70 Bn |
| 10 | Siga Technologies | 224.91 Mn | -309.59 Mn | 741,305.00 | 71.85 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 71.85 Mn |
| Jun 30, 2026 | 71.75 Mn |
| Mar 31, 2026 | 71.65 Mn |
| Dec 31, 2025 | 71.53 Mn |
| Sep 30, 2025 | 71.60 Mn |
| Jun 30, 2025 | 71.47 Mn |
| Mar 31, 2025 | 71.43 Mn |
| Dec 31, 2024 | 71.25 Mn |
| Sep 30, 2024 | 71.37 Mn |
| Jun 30, 2024 | 71.15 Mn |
| Mar 31, 2024 | 71.09 Mn |
| Dec 31, 2023 | 71.36 Mn |
| Sep 30, 2023 | 71.08 Mn |
| Jun 30, 2023 | 71.09 Mn |
| Mar 31, 2023 | 72.20 Mn |
| Dec 31, 2022 | 72.93 Mn |
| Sep 30, 2022 | 73.02 Mn |
| Jun 30, 2022 | 72.68 Mn |
| Mar 31, 2022 | 73.07 Mn |
| Dec 31, 2021 | 75.32 Mn |
API Access
Siga Technologies Shares Outstanding 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&ticker=SIGA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding", "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&ticker=SIGA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();