Siga Technologies (SIGA) Total Non-Current Liabilities (2010 - 2025)
Siga Technologies (SIGA) posted Total Non-Current Liabilities of $17.99 million for Q4 2025, down 29.0% from $25.33 million a year earlier and down 27.6% from the prior quarter.
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Analysis
Siga Technologies (SIGA) Total Non-Current Liabilities (2010 - 2025) Analysis & Trends
Since Q4 2010, Siga Technologies has reported Total Non-Current Liabilities for 61 quarters.
- Annual Total Non-Current Liabilities shows a five-year compound annual growth rate of 6.1% (FY2020 to FY2025).
- In prior years, Siga Technologies' Total Non-Current Liabilities was $25.33 million in FY2024 (-53.2%), $54.12 million in FY2023 (+151.5%), $21.52 million in FY2022 (-36.5%) and $33.89 million in FY2021 (+152.9%).
- The Q4 2025 figure stands as the lowest quarterly Total Non-Current Liabilities since Q2 2022.
- On a year-over-year basis, Total Non-Current Liabilities increased in four of the last eight quarters, with growth averaging 20.3%.
- The strongest year-over-year quarter for Total Non-Current Liabilities in the past five years was Q1 2024, with growth of 304.9%; the weakest was Q1 2025, with a decline of 62.8%.
- According to Business Quant data, Total Non-Current Liabilities for the three prior quarters was $24.84 million (Q3 2025), $22.72 million (Q2 2025) and $27.8 million (Q1 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 645.01 Bn | 563.54 Bn | 17.26 Bn | 105.99 Bn |
| 2 | AbbVie | 465.23 Bn | 438.39 Bn | 12.70 Bn | 106.45 Bn |
| 3 | Merck | 368.40 Bn | 322.83 Bn | 12.21 Bn | 80.25 Bn |
| 4 | Novartis Ag | 278.02 Bn | 233.89 Bn | 11.24 Bn | 48.34 Bn |
| 5 | Astrazeneca | 254.57 Bn | 228.13 Bn | 12.86 Bn | -967.00 Mn |
| 6 | Amgen | 229.02 Bn | 184.42 Bn | 7.24 Bn | 81.11 Bn |
| 7 | Gilead Sciences | 187.74 Bn | 161.85 Bn | 6.22 Bn | 36.04 Bn |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn | 100.86 Bn |
| 9 | Vertex Pharmaceuticals | 133.45 Bn | 105.45 Bn | 2.84 Bn | 5.92 Bn |
| 10 | Siga Technologies | 246.34 Mn | -425.31 Mn | - | 17.99 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 17.99 Mn |
| Sep 30, 2025 | 24.84 Mn |
| Jun 30, 2025 | 22.72 Mn |
| Mar 31, 2025 | 27.80 Mn |
| Dec 31, 2024 | 25.33 Mn |
| Sep 30, 2024 | 22.30 Mn |
| Jun 30, 2024 | 21.38 Mn |
| Mar 31, 2024 | 74.81 Mn |
| Dec 31, 2023 | 54.12 Mn |
| Sep 30, 2023 | 30.74 Mn |
| Jun 30, 2023 | 18.99 Mn |
| Mar 31, 2023 | 18.48 Mn |
| Dec 31, 2022 | 21.52 Mn |
| Sep 30, 2022 | 27.46 Mn |
| Jun 30, 2022 | 16.69 Mn |
| Mar 31, 2022 | 10.64 Mn |
| Dec 31, 2021 | 33.89 Mn |
| Sep 30, 2021 | 22.66 Mn |
| Jun 30, 2021 | 11.67 Mn |
| Mar 31, 2021 | 10.36 Mn |
API Access
Siga Technologies Total Non-Current Liabilities 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=total-non-current-liabilities&ticker=SIGA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "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=total-non-current-liabilities&ticker=SIGA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();