Siga Technologies (SIGA) Operating Margin (2010 - 2025)
Siga Technologies' Operating Margin came in at -390.17% for Q3 2025, down 395.59 percentage points from 5.42% a year earlier and down 446.49 percentage points from the prior quarter.
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Analysis
Siga Technologies (SIGA) Operating Margin (2010 - 2025) Analysis & Trends
Over the trailing twelve months to Sep 30, 2025, Siga Technologies reported Operating Margin of 52.42%, down 7.78 percentage points year-over-year; for FY2024, it came in at 50.45%, down 9.32 percentage points from FY2023.
- Operating Margin carries a five-year change of +59.13 percentage points (FY2019 to FY2024).
- Going back by year, Operating Margin was 59.76% in FY2023 (+21.22 pp), 38.55% in FY2022 (-28.10 pp), 66.65% in FY2021 (-0.97 pp) and 67.62% in FY2020 (+76.31 pp).
- The Q3 2025 figure represents the lowest quarterly Operating Margin since Q3 2017.
- Year-over-year, Operating Margin increased in five of the last eight quarters, with an average year-over-year change of -20.19 percentage points.
- The fastest year-over-year change in Operating Margin over five years came in Q4 2020 (a gain of 152.42 percentage points), and the weakest in Q3 2025 (a drop of 395.59 percentage points).
- Business Quant data shows SIGA's Operating Margin at 56.31% (Q2 2025), -32.03% (Q1 2025) and 70.07% (Q4 2024) in the three quarters before Q3 2025.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Operating Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 655.56 Bn | 574.09 Bn | 17.26 Bn | 28.21% |
| 2 | AbbVie | 470.94 Bn | 444.10 Bn | 12.70 Bn | 37.86% |
| 3 | Merck | 367.14 Bn | 321.57 Bn | 12.21 Bn | -3.52% |
| 4 | Novartis Ag | 280.33 Bn | 236.20 Bn | 11.24 Bn | 32.97% |
| 5 | Astrazeneca | 257.78 Bn | 231.34 Bn | 12.86 Bn | 20.57% |
| 6 | Amgen | 226.04 Bn | 181.44 Bn | 7.24 Bn | 34.95% |
| 7 | Gilead Sciences | 188.89 Bn | 163.01 Bn | 6.22 Bn | -133.21% |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn | 28.37% |
| 9 | Vertex Pharmaceuticals | 133.68 Bn | 105.69 Bn | 2.84 Bn | 37.40% |
| 10 | Siga Technologies | 247.78 Mn | -423.88 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2025 | -390.17% |
| Jun 30, 2025 | 56.31% |
| Mar 31, 2025 | -32.03% |
| Dec 31, 2024 | 70.07% |
| Sep 30, 2024 | 5.42% |
| Jun 30, 2024 | 4.95% |
| Mar 31, 2024 | 44.34% |
| Dec 31, 2023 | 78.71% |
| Sep 30, 2023 | -14.18% |
| Jun 30, 2023 | -78.91% |
| Mar 31, 2023 | -25.33% |
| Dec 31, 2022 | -15.89% |
| Sep 30, 2022 | 59.37% |
| Jun 30, 2022 | 18.42% |
| Mar 31, 2022 | -13.65% |
| Dec 31, 2021 | 81.51% |
| Sep 30, 2021 | -60.75% |
| Jun 30, 2021 | 0.01% |
| Mar 31, 2021 | -41.33% |
| Dec 31, 2020 | 71.04% |
API Access
Siga Technologies Operating Margin 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=operating-margin&ticker=SIGA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-margin", "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=operating-margin&ticker=SIGA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();