Siga Technologies (SIGA) Research & Development (2010 - 2025)
Siga Technologies' Research & Development was $7.05 million in Q3 2025, up 133.2% from $3.02 million a year earlier and up 60.4% from the prior quarter.
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Analysis
Siga Technologies (SIGA) Research & Development (2010 - 2025) Analysis & Trends
On a trailing twelve-month basis, Siga Technologies' Research & Development was $18.26 million through Sep 30, 2025, up 57.6% year-over-year; for FY2024, it came in at $12.31 million, down 25.1% from FY2023.
- Research & Development shows a five-year compound annual growth rate of -1.5% (FY2019 to FY2024).
- In earlier years, Research & Development was $16.43 million in FY2023 (-27.1%), $22.53 million in FY2022 (+126.6%), $9.94 million in FY2021 (-9.1%) and $10.94 million in FY2020 (-17.8%).
- The Q3 2025 figure marks the highest quarterly Research & Development since Q4 2016.
- Compared with a year earlier, Research & Development has increased for four straight quarters, with growth averaging 8.4% over the last eight quarters.
- The best year-over-year quarter for Research & Development over five years was Q2 2022 (growth of 202.1%); the worst was Q4 2023 (a decline of 59.1%).
- Per Business Quant data, SIGA's Research & Development in the three quarters before Q3 2025 was $4.4 million (Q2 2025), $3.46 million (Q1 2025) and $3.34 million (Q4 2024).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | R&D (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 655.56 Bn | 574.09 Bn | 17.26 Bn | 3.65 Bn |
| 2 | AbbVie | 470.94 Bn | 444.10 Bn | 12.70 Bn | 2.34 Bn |
| 3 | Merck | 367.14 Bn | 321.57 Bn | 12.21 Bn | 9.74 Bn |
| 4 | Novartis Ag | 280.33 Bn | 236.20 Bn | 11.24 Bn | -2.85 Bn |
| 5 | Astrazeneca | 257.78 Bn | 231.34 Bn | 12.86 Bn | -4.05 Bn |
| 6 | Amgen | 226.04 Bn | 181.44 Bn | 7.24 Bn | 1.87 Bn |
| 7 | Gilead Sciences | 188.89 Bn | 163.01 Bn | 6.22 Bn | 1.76 Bn |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn | 2.81 Bn |
| 9 | Vertex Pharmaceuticals | 133.68 Bn | 105.69 Bn | 2.84 Bn | 993.80 Mn |
| 10 | Siga Technologies | 247.78 Mn | -423.88 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2025 | 7.05 Mn |
| Jun 30, 2025 | 4.40 Mn |
| Mar 31, 2025 | 3.46 Mn |
| Dec 31, 2024 | 3.34 Mn |
| Sep 30, 2024 | 3.02 Mn |
| Jun 30, 2024 | 2.89 Mn |
| Mar 31, 2024 | 3.05 Mn |
| Dec 31, 2023 | 2.62 Mn |
| Sep 30, 2023 | 3.65 Mn |
| Jun 30, 2023 | 5.12 Mn |
| Mar 31, 2023 | 5.05 Mn |
| Dec 31, 2022 | 6.41 Mn |
| Sep 30, 2022 | 5.73 Mn |
| Jun 30, 2022 | 6.84 Mn |
| Mar 31, 2022 | 3.55 Mn |
| Dec 31, 2021 | 2.14 Mn |
| Sep 30, 2021 | 3.24 Mn |
| Jun 30, 2021 | 2.26 Mn |
| Mar 31, 2021 | 2.30 Mn |
| Dec 31, 2020 | 3.01 Mn |
API Access
Siga Technologies Research & Development 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=research-and-development&ticker=SIGA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "research-and-development", "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=research-and-development&ticker=SIGA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();