Siga Technologies (SIGA) Inventory (2012 - 2025)
Siga Technologies (SIGA) posted Inventory of $49.05 million for Q4 2025, down 1.0% from $49.56 million a year earlier but up 2.2% from the prior quarter.
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Analysis
Siga Technologies (SIGA) Inventory (2012 - 2025) Analysis & Trends
Since Q2 2012, Siga Technologies has reported Inventory for 55 quarters.
- Annual Inventory shows a five-year compound annual growth rate of 19.3% (FY2020 to FY2025).
- In prior years, Siga Technologies' Inventory was $49.56 million in FY2024 (-22.8%), $64.22 million in FY2023 (+63.5%), $39.27 million in FY2022 (+101.3%) and $19.51 million in FY2021 (-3.7%).
- Quarterly Inventory has run from a low of $16.28 million in Q1 2022 to a high of $64.95 million in Q3 2023 over five years.
- On a year-over-year basis, Inventory has declined in each of the last six quarters, with an average decline of 4.3% over the last eight quarters.
- The strongest year-over-year quarter for Inventory in the past five years was Q2 2023, with growth of 207.3%; the weakest was Q2 2025, with a decline of 36.0%.
- According to Business Quant data, Inventory for the three prior quarters was $48.01 million (Q3 2025), $35.62 million (Q2 2025) and $59.06 million (Q1 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Inventory (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 655.56 Bn | 574.09 Bn | 17.26 Bn | 15.14 Bn |
| 2 | AbbVie | 470.94 Bn | 444.10 Bn | 12.70 Bn | 5.13 Bn |
| 3 | Merck | 367.14 Bn | 321.57 Bn | 12.21 Bn | 6.21 Bn |
| 4 | Novartis Ag | 280.33 Bn | 236.20 Bn | 11.24 Bn | 6.22 Bn |
| 5 | Astrazeneca | 257.78 Bn | 231.34 Bn | 12.86 Bn | 6.93 Bn |
| 6 | Amgen | 226.04 Bn | 181.44 Bn | 7.24 Bn | 6.22 Bn |
| 7 | Gilead Sciences | 188.89 Bn | 163.01 Bn | 6.22 Bn | 1.95 Bn |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn | 9.95 Bn |
| 9 | Vertex Pharmaceuticals | 133.68 Bn | 105.69 Bn | 2.84 Bn | 1.77 Bn |
| 10 | Siga Technologies | 247.78 Mn | -423.88 Mn | - | 49.05 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 49.05 Mn |
| Sep 30, 2025 | 48.01 Mn |
| Jun 30, 2025 | 35.62 Mn |
| Mar 31, 2025 | 59.06 Mn |
| Dec 31, 2024 | 49.56 Mn |
| Sep 30, 2024 | 62.02 Mn |
| Jun 30, 2024 | 55.66 Mn |
| Mar 31, 2024 | 63.72 Mn |
| Dec 31, 2023 | 64.22 Mn |
| Sep 30, 2023 | 64.95 Mn |
| Jun 30, 2023 | 50.50 Mn |
| Mar 31, 2023 | 42.58 Mn |
| Dec 31, 2022 | 39.27 Mn |
| Sep 30, 2022 | 31.26 Mn |
| Jun 30, 2022 | 16.43 Mn |
| Mar 31, 2022 | 16.28 Mn |
| Dec 31, 2021 | 19.51 Mn |
| Sep 30, 2021 | 29.67 Mn |
| Jun 30, 2021 | 19.60 Mn |
| Mar 31, 2021 | 20.41 Mn |
API Access
Siga Technologies Inventory 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=inventory&ticker=SIGA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "inventory", "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=inventory&ticker=SIGA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();