Siga Technologies (SIGA) Revenue (2010 - 2025)
Siga Technologies' Revenue came in at $2.62 million for Q3 2025, down 73.8% from $10.01 million a year earlier and down 96.8% from the prior quarter.
Siga Technologies (SIGA) Revenue (2010 - 2025) Analysis & Trends
Over the trailing twelve months to Sep 30, 2025, Siga Technologies reported Revenue of $172.25 million, down 0.9% year-over-year; for FY2024, it was $138.72 million, down 0.9% from FY2023.
- Revenue carries a five-year compound annual growth rate of 39.0% (FY2019 to FY2024).
- Going back by year, Revenue was $139.92 million in FY2023 (+26.3%), $110.78 million in FY2022 (-17.1%), $133.67 million in FY2021 (+7.0%) and $124.96 million in FY2020 (+367.3%).
- The Q3 2025 figure represents the lowest quarterly Revenue since Q1 2020.
- Year-over-year, Revenue increased in five of the last eight quarters, with growth averaging 188.3%.
- The fastest year-over-year change in Revenue over five years came in Q4 2023 (growth of 925.5%), and the weakest in Q4 2022 (a decline of 90.2%).
- Business Quant data shows SIGA's Revenue at $81.12 million (Q2 2025), $7.04 million (Q1 2025) and $81.47 million (Q4 2024) in the three quarters before Q3 2025.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Revenue (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 645.01 Bn | 563.54 Bn | 17.26 Bn | 25.31 Bn |
| 2 | AbbVie | 465.23 Bn | 438.39 Bn | 12.70 Bn | 16.99 Bn |
| 3 | Merck | 368.40 Bn | 322.83 Bn | 12.21 Bn | 16.61 Bn |
| 4 | Novartis Ag | 278.02 Bn | 233.89 Bn | 11.24 Bn | 14.41 Bn |
| 5 | Astrazeneca | 254.57 Bn | 228.13 Bn | 12.86 Bn | 15.38 Bn |
| 6 | Amgen | 229.02 Bn | 184.42 Bn | 7.24 Bn | 10.05 Bn |
| 7 | Gilead Sciences | 187.74 Bn | 161.85 Bn | 6.22 Bn | 7.80 Bn |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn | 15.03 Bn |
| 9 | Vertex Pharmaceuticals | 133.45 Bn | 105.45 Bn | 2.84 Bn | 3.33 Bn |
| 10 | Siga Technologies | 246.34 Mn | -425.31 Mn | - | - |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2025 | 2.62 Mn |
| Jun 30, 2025 | 81.12 Mn |
| Mar 31, 2025 | 7.04 Mn |
| Dec 31, 2024 | 81.47 Mn |
| Sep 30, 2024 | 10.01 Mn |
| Jun 30, 2024 | 21.81 Mn |
| Mar 31, 2024 | 25.43 Mn |
| Dec 31, 2023 | 116.48 Mn |
| Sep 30, 2023 | 9.24 Mn |
| Jun 30, 2023 | 5.88 Mn |
| Mar 31, 2023 | 8.32 Mn |
| Dec 31, 2022 | 11.36 Mn |
| Sep 30, 2022 | 72.21 Mn |
| Jun 30, 2022 | 16.67 Mn |
| Mar 31, 2022 | 10.54 Mn |
| Dec 31, 2021 | 115.36 Mn |
| Sep 30, 2021 | 4.85 Mn |
| Jun 30, 2021 | 8.65 Mn |
| Mar 31, 2021 | 4.81 Mn |
| Dec 31, 2020 | 37.73 Mn |
Siga Technologies Revenue 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=revenue&ticker=SIGA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "revenue", "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=revenue&ticker=SIGA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();