Siga Technologies (SIGA) Non-Current Assets (2010 - 2025)
Siga Technologies' Non-Current Assets came in at $6.61 million for Q4 2025, down 50.3% from $13.29 million a year earlier but up 71.4% from the prior quarter.
Analysis
Siga Technologies (SIGA) Non-Current Assets (2010 - 2025) Analysis & Trends
Going back to Q4 2010, Siga Technologies' Non-Current Assets data covers 61 quarters.
- Non-Current Assets carries a five-year compound annual growth rate of 1.2% (FY2020 to FY2025).
- Going back by year, Non-Current Assets was $13.29 million in FY2024 (-13.5%), $15.36 million in FY2023 (+66.1%), $9.25 million in FY2022 (+54.8%) and $5.97 million in FY2021 (-4.0%).
- The five-year range for quarterly Non-Current Assets is $3.86 million (Q3 2025) to $16.18 million (Q2 2024).
- Year-over-year, Non-Current Assets has declined for five consecutive quarters, with an average decline of 15.9% over the last eight quarters.
- The fastest year-over-year change in Non-Current Assets over five years came in Q2 2023 (growth of 93.9%), and the weakest in Q3 2025 (a decline of 73.7%).
- Business Quant data shows SIGA's Non-Current Assets at $3.86 million (Q3 2025), $6.13 million (Q2 2025) and $13.45 million (Q1 2025) in the three quarters before Q4 2025.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non-Current Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 655.56 Bn | 574.09 Bn | 17.26 Bn | 141.29 Bn |
| 2 | AbbVie | 470.94 Bn | 444.10 Bn | 12.70 Bn | 101.45 Bn |
| 3 | Merck | 367.14 Bn | 321.57 Bn | 12.21 Bn | 125.00 Mn |
| 4 | Novartis Ag | 280.33 Bn | 236.20 Bn | 11.24 Bn | 94.68 Bn |
| 5 | Astrazeneca | 257.78 Bn | 231.34 Bn | 12.86 Bn | 87.87 Bn |
| 6 | Amgen | 226.04 Bn | 181.44 Bn | 7.24 Bn | 60.68 Bn |
| 7 | Gilead Sciences | 188.89 Bn | 163.01 Bn | 6.22 Bn | 35.42 Bn |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn | 159.77 Bn |
| 9 | Vertex Pharmaceuticals | 133.68 Bn | 105.69 Bn | 2.84 Bn | 14.88 Bn |
| 10 | Siga Technologies | 247.78 Mn | -423.88 Mn | - | 6.61 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 6.61 Mn |
| Sep 30, 2025 | 3.86 Mn |
| Jun 30, 2025 | 6.13 Mn |
| Mar 31, 2025 | 13.45 Mn |
| Dec 31, 2024 | 13.29 Mn |
| Sep 30, 2024 | 14.67 Mn |
| Jun 30, 2024 | 16.18 Mn |
| Mar 31, 2024 | 15.25 Mn |
| Dec 31, 2023 | 15.36 Mn |
| Sep 30, 2023 | 12.41 Mn |
| Jun 30, 2023 | 12.21 Mn |
| Mar 31, 2023 | 11.39 Mn |
| Dec 31, 2022 | 9.25 Mn |
| Sep 30, 2022 | 7.32 Mn |
| Jun 30, 2022 | 6.30 Mn |
| Mar 31, 2022 | 7.44 Mn |
| Dec 31, 2021 | 5.97 Mn |
| Sep 30, 2021 | 6.63 Mn |
| Jun 30, 2021 | 6.62 Mn |
| Mar 31, 2021 | 5.88 Mn |
API Access
Siga Technologies Non-Current Assets 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=non-current-assets&ticker=SIGA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-assets", "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=non-current-assets&ticker=SIGA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();