Siga Technologies (SIGA) Other Accumulated Expenses (2019 - 2025)
Siga Technologies (SIGA) posted Other Accumulated Expenses of $869,431 for Q4 2025, down 59.8% from $2.16 million a year earlier and down 22.8% from the prior quarter.
Siga Technologies (SIGA) Other Accumulated Expenses (2019 - 2025) Analysis & Trends
Since Q4 2019, Siga Technologies has reported Other Accumulated Expenses for 25 quarters.
- Annual Other Accumulated Expenses shows a five-year compound annual growth rate of 12.3% (FY2020 to FY2025).
- In prior years, Siga Technologies' Other Accumulated Expenses was $2.16 million in FY2024 (+3.5%), $2.09 million in FY2023 (+63.4%), $1.28 million in FY2022 (-10.4%) and $1.43 million in FY2021 (+193.4%).
- The Q4 2025 figure stands as the lowest quarterly Other Accumulated Expenses since Q3 2022.
- On a year-over-year basis, Other Accumulated Expenses has declined in each of the last three quarters, with growth averaging 10.6% over the last eight quarters.
- The strongest year-over-year quarter for Other Accumulated Expenses in the past five years was Q2 2022, with growth of 235.3%; the weakest was Q2 2021, with a decline of 70.1%.
- According to Business Quant data, Other Accumulated Expenses for the three prior quarters was $1.13 million (Q3 2025), $1.16 million (Q2 2025) and $2.29 million (Q1 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Eli Lilly | 1,076.25 Bn | 1,044.84 Bn | 19.71 Bn |
| 2 | Johnson & Johnson | 617.18 Bn | 535.70 Bn | 17.26 Bn |
| 3 | AbbVie | 464.58 Bn | 437.73 Bn | 12.70 Bn |
| 4 | Merck | 356.04 Bn | 310.47 Bn | 12.21 Bn |
| 5 | Novartis Ag | 269.07 Bn | 224.94 Bn | 11.24 Bn |
| 6 | Astrazeneca | 243.21 Bn | 216.77 Bn | 12.86 Bn |
| 7 | Amgen | 217.88 Bn | 173.28 Bn | 7.24 Bn |
| 8 | Gilead Sciences | 179.62 Bn | 153.74 Bn | 6.22 Bn |
| 9 | Pfizer | 158.45 Bn | 105.40 Bn | 10.94 Bn |
| 10 | Siga Technologies | 242.05 Mn | -429.61 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 869,431.00 |
| Sep 30, 2025 | 1.13 Mn |
| Jun 30, 2025 | 1.16 Mn |
| Mar 31, 2025 | 2.29 Mn |
| Dec 31, 2024 | 2.16 Mn |
| Sep 30, 2024 | 2.23 Mn |
| Jun 30, 2024 | 2.19 Mn |
| Mar 31, 2024 | 2.10 Mn |
| Dec 31, 2023 | 2.09 Mn |
| Sep 30, 2023 | 1.07 Mn |
| Jun 30, 2023 | 1.33 Mn |
| Mar 31, 2023 | 1.34 Mn |
| Dec 31, 2022 | 1.28 Mn |
| Sep 30, 2022 | 852,370.00 |
| Jun 30, 2022 | 934,745.00 |
| Mar 31, 2022 | 753,540.00 |
| Dec 31, 2021 | 1.43 Mn |
| Sep 30, 2021 | 416,966.00 |
| Jun 30, 2021 | 278,788.00 |
| Mar 31, 2021 | 286,476.00 |
Siga Technologies Other Accumulated Expenses 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=other-accumulated-expenses&ticker=SIGA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-accumulated-expenses", "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=other-accumulated-expenses&ticker=SIGA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();