Siga Technologies (SIGA) Accumulated Expenses (2009 - 2026)
Siga Technologies (SIGA) posted Accumulated Expenses of $6.52 million for Q4 2025, up 15.6% from $5.64 million a year earlier but down 31.2% from the prior quarter.
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Analysis
Siga Technologies (SIGA) Accumulated Expenses (2009 - 2026) Analysis & Trends
Since Q4 2010, Siga Technologies has reported Accumulated Expenses for 60 quarters.
- Annual Accumulated Expenses shows a five-year compound annual growth rate of -4.7% (FY2020 to FY2025).
- In prior years, Siga Technologies' Accumulated Expenses was $5.64 million in FY2024 (-44.6%), $10.18 million in FY2023 (+61.5%), $6.3 million in FY2022 (-31.9%) and $9.25 million in FY2021 (+11.7%).
- Quarterly Accumulated Expenses has run from a low of $4.65 million in Q1 2022 to a high of $30.13 million in Q3 2023 over five years.
- On a year-over-year basis, Accumulated Expenses has increased in each of the last four quarters, with an average decline of 3.1% over the last eight quarters.
- The strongest year-over-year quarter for Accumulated Expenses in the past five years was Q1 2023, with growth of 243.9%; the weakest was Q3 2024, with a decline of 76.2%.
- According to Business Quant data, Accumulated Expenses for the three prior quarters was $9.47 million (Q3 2025), $7.11 million (Q2 2025) and $16.23 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 | 6.22 Mn |
| Jun 30, 2026 | 6.91 Mn |
| Mar 31, 2026 | 6.53 Mn |
| Dec 31, 2025 | 6.52 Mn |
| Sep 30, 2025 | 9.47 Mn |
| Jun 30, 2025 | 7.11 Mn |
| Mar 31, 2025 | 16.23 Mn |
| Dec 31, 2024 | 5.64 Mn |
| Sep 30, 2024 | 7.18 Mn |
| Jun 30, 2024 | 6.53 Mn |
| Mar 31, 2024 | 6.12 Mn |
| Dec 31, 2023 | 10.18 Mn |
| Sep 30, 2023 | 30.13 Mn |
| Jun 30, 2023 | 17.89 Mn |
| Mar 31, 2023 | 16.00 Mn |
| Dec 31, 2022 | 6.30 Mn |
| Sep 30, 2022 | 15.89 Mn |
| Jun 30, 2022 | 14.84 Mn |
| Mar 31, 2022 | 4.65 Mn |
| Dec 31, 2021 | 9.25 Mn |
API Access
Siga Technologies 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=accumulated-expenses&ticker=SIGA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "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=accumulated-expenses&ticker=SIGA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();