Siga Technologies (SIGA) Return on Sales [ROS] (2010 - 2025)
Siga Technologies (SIGA) posted Return on Sales [ROS] of -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.
Siga Technologies (SIGA) Return on Sales [ROS] (2010 - 2025) Analysis & Trends
For the trailing twelve months through Sep 30, 2025, Return on Sales [ROS] at Siga Technologies was 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.
- Annual Return on Sales [ROS] shows a five-year change of +59.13 percentage points (FY2019 to FY2024).
- In prior years, Siga Technologies' Return on Sales [ROS] 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 stands as the lowest quarterly Return on Sales [ROS] since Q3 2017.
- On a year-over-year basis, Return on Sales [ROS] increased in five of the last eight quarters, with an average year-over-year change of -20.19 percentage points.
- The strongest year-over-year quarter for Return on Sales [ROS] in the past five years was Q4 2020, with a gain of 152.42 percentage points; the weakest was Q3 2025, with a drop of 395.59 percentage points.
- According to Business Quant data, Return on Sales [ROS] for the three prior quarters was 56.31% (Q2 2025), -32.03% (Q1 2025) and 70.07% (Q4 2024).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,199.50 Bn | 1,168.08 Bn | 19.71 Bn | 51.16% |
| 2 | Johnson & Johnson | 635.17 Bn | 555.03 Bn | 17.30 Bn | 24.35% |
| 3 | AbbVie | 504.69 Bn | 477.85 Bn | 12.70 Bn | 37.86% |
| 4 | Merck | 358.43 Bn | 312.86 Bn | 12.21 Bn | -3.52% |
| 5 | Novartis Ag | 288.36 Bn | 252.75 Bn | 11.24 Bn | 32.97% |
| 6 | Astrazeneca | 265.78 Bn | 239.54 Bn | 12.86 Bn | 20.57% |
| 7 | Amgen | 237.46 Bn | 192.86 Bn | 7.24 Bn | 34.95% |
| 8 | Gilead Sciences | 193.65 Bn | 167.76 Bn | 6.22 Bn | -133.21% |
| 9 | Pfizer | 171.05 Bn | 118.00 Bn | 10.94 Bn | 28.37% |
| 10 | Siga Technologies | 223.43 Mn | -448.23 Mn | - | - |
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% |
Siga Technologies Return on Sales [ROS] 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=return-on-sales-%5Bros%5D&ticker=SIGA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "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=return-on-sales-%5Bros%5D&ticker=SIGA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();