Siga Technologies (SIGA) Other Operating Expenses (2010 - 2025)
Siga Technologies (SIGA) posted Other Operating Expenses of $514,470 for Q3 2025, down 41.6% from $881,633 a year earlier and down 7.2% from the prior quarter.
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Analysis
Siga Technologies (SIGA) Other Operating Expenses (2010 - 2025) Analysis & Trends
For the trailing twelve months through Sep 30, 2025, Other Operating Expenses at Siga Technologies was $3.37 million, down 80.9% year-over-year; for FY2024, it was $3.84 million, down 20.4% from FY2023.
- Annual Other Operating Expenses shows a four-year compound annual growth rate of -28.6% (FY2020 to FY2024).
- In prior years, Siga Technologies' Other Operating Expenses was $4.82 million in FY2023 (+56.0%), $3.09 million in FY2022 (-81.4%), $16.6 million in FY2021 (+12.2%) and $14.8 million in FY2020.
- The Q3 2025 figure stands as the lowest quarterly Other Operating Expenses since Q3 2021.
- On a year-over-year basis, Other Operating Expenses increased in two of the last seven quarters, with an average decline of 24.8%.
- The strongest year-over-year quarter for Other Operating Expenses in the past five years was Q1 2022, with growth of 962.7%; the weakest was Q3 2021, with a decline of 98.5%.
- According to Business Quant data, Other Operating Expenses for the three prior quarters was $554,192 (Q2 2025), $1.29 million (Q1 2025) and $1.01 million (Q4 2024).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Johnson & Johnson | 638.12 Bn | 556.64 Bn | 17.26 Bn |
| 2 | AbbVie | 462.60 Bn | 435.75 Bn | 12.70 Bn |
| 3 | Merck | 358.70 Bn | 313.13 Bn | 12.21 Bn |
| 4 | Novartis Ag | 272.16 Bn | 228.03 Bn | 11.24 Bn |
| 5 | Astrazeneca | 250.36 Bn | 223.92 Bn | 12.86 Bn |
| 6 | Amgen | 227.87 Bn | 183.27 Bn | 7.24 Bn |
| 7 | Gilead Sciences | 184.97 Bn | 159.08 Bn | 6.22 Bn |
| 8 | Pfizer | 162.61 Bn | 109.56 Bn | 10.94 Bn |
| 9 | Vertex Pharmaceuticals | 132.45 Bn | 104.46 Bn | 2.84 Bn |
| 10 | Siga Technologies | 243.48 Mn | -428.18 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2025 | 514,470.00 |
| Jun 30, 2025 | 554,192.00 |
| Mar 31, 2025 | 1.29 Mn |
| Dec 31, 2024 | 1.01 Mn |
| Sep 30, 2024 | 881,633.00 |
| Jun 30, 2024 | 677,930.00 |
| Mar 31, 2024 | 1.27 Mn |
| Dec 31, 2023 | 14.80 Mn |
| Sep 30, 2023 | 896,537.00 |
| Jun 30, 2023 | 974,420.00 |
| Mar 31, 2023 | 1.15 Mn |
| Dec 31, 2022 | 881,375.00 |
| Sep 30, 2022 | 3.95 Mn |
| Jun 30, 2022 | 882,096.00 |
| Mar 31, 2022 | 4.72 Mn |
| Dec 31, 2021 | 15.27 Mn |
| Sep 30, 2021 | 83,276.00 |
| Jun 30, 2021 | 995,990.00 |
| Mar 31, 2021 | 444,182.00 |
| Dec 31, 2020 | 3.81 Mn |
API Access
Siga Technologies Other Operating 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-operating-expenses&ticker=SIGA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-operating-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-operating-expenses&ticker=SIGA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();