Siga Technologies (SIGA) Other Accumulated Expenses (2011 - 2026)
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.
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Analysis
Siga Technologies (SIGA) Other Accumulated Expenses (2011 - 2026) 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 Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Eli Lilly | 1,348.13 Bn | 1,321.74 Bn | 20.46 Bn |
| 2 | Johnson & Johnson | 675.90 Bn | 595.76 Bn | 17.30 Bn |
| 3 | AbbVie | 519.45 Bn | 487.50 Bn | 13.12 Bn |
| 4 | Merck | 364.95 Bn | 327.95 Bn | 13.19 Bn |
| 5 | Novartis Ag | 311.58 Bn | 285.16 Bn | - |
| 6 | Astrazeneca | 289.34 Bn | 262.94 Bn | 13.26 Bn |
| 7 | Amgen | 251.64 Bn | 203.30 Bn | 7.58 Bn |
| 8 | Gilead Sciences | 212.05 Bn | 187.07 Bn | 6.73 Bn |
| 9 | Pfizer | 167.35 Bn | 115.00 Bn | 12.56 Bn |
| 10 | Siga Technologies | 224.91 Mn | -309.59 Mn | 741,305.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 639,623.00 |
| Jun 30, 2026 | 456,828.00 |
| Mar 31, 2026 | 668,653.00 |
| 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 |
API Access
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_KEYimport 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();