Siga Technologies (SIGA) Total Current Liabilities (2010 - 2025)
Siga Technologies' Total Current Liabilities was $17.99 million in 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 Current Liabilities (2010 - 2025) Analysis & Trends
From Q4 2010 onward, Siga Technologies has reported Total Current Liabilities for 60 quarters.
- Total Current Liabilities shows a five-year compound annual growth rate of 11.4% (FY2020 to FY2025).
- In earlier years, Total Current Liabilities was $25.33 million in FY2024 (-53.2%), $54.12 million in FY2023 (+151.5%), $21.52 million in FY2022 (-29.4%) and $30.49 million in FY2021 (+190.8%).
- The Q4 2025 figure marks the lowest quarterly Total Current Liabilities since Q2 2022.
- Compared with a year earlier, Total Current Liabilities was higher in four of the last eight quarters, with growth averaging 20.3%.
- The best year-over-year quarter for Total Current Liabilities over five years was Q1 2024 (growth of 304.9%); the worst was Q1 2021 (a decline of 64.9%).
- Per Business Quant data, SIGA's Total Current Liabilities in the three quarters before Q4 2025 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 Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,264.65 Bn | 1,238.27 Bn | 20.46 Bn | 47.00 Bn |
| 2 | Johnson & Johnson | 677.74 Bn | 597.60 Bn | 17.30 Bn | 55.46 Bn |
| 3 | AbbVie | 517.10 Bn | 485.11 Bn | 13.12 Bn | 43.10 Bn |
| 4 | Merck | 362.23 Bn | 325.17 Bn | 13.19 Bn | 28.80 Bn |
| 5 | Novartis Ag | 315.90 Bn | 276.16 Bn | 11.24 Bn | 31.75 Bn |
| 6 | Astrazeneca | 289.40 Bn | 266.24 Bn | 12.86 Bn | 31.55 Bn |
| 7 | Amgen | 249.90 Bn | 201.56 Bn | 7.58 Bn | 23.23 Bn |
| 8 | Gilead Sciences | 209.15 Bn | 184.26 Bn | 6.73 Bn | 12.00 Bn |
| 9 | Pfizer | 165.88 Bn | 113.23 Bn | 12.56 Bn | 31.73 Bn |
| 10 | Siga Technologies | 242.74 Mn | -428.92 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 | 7.24 Mn |
| Dec 31, 2021 | 30.49 Mn |
| Sep 30, 2021 | 18.94 Mn |
| Jun 30, 2021 | 7.97 Mn |
| Mar 31, 2021 | 7.51 Mn |
API Access
Siga Technologies Total 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-current-liabilities&ticker=SIGA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-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-current-liabilities&ticker=SIGA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();