Siga Technologies (SIGA) Return on Capital Employed [ROCE] (2011 - 2025)
Siga Technologies (SIGA) posted Return on Capital Employed [ROCE] of 43.28% for Q3 2025, down 17.63 percentage points from 60.90% a year earlier and down 2.97 percentage points from the prior quarter.
Siga Technologies (SIGA) Return on Capital Employed [ROCE] (2011 - 2025) Analysis & Trends
For FY2024, Siga Technologies' Return on Capital Employed [ROCE] came in at 31.24%, down 17.78 percentage points from FY2023.
- Annual Return on Capital Employed [ROCE] shows a five-year change of +33.37 percentage points (FY2019 to FY2024).
- In prior years, Siga Technologies' Return on Capital Employed [ROCE] was 49.02% in FY2023 (+25.74 pp), 23.29% in FY2022 (-35.41 pp), 58.69% in FY2021 (+7.08 pp) and 51.61% in FY2020 (+53.74 pp).
- Quarterly Return on Capital Employed [ROCE] has run from a low of -8.10% in Q3 2023 to a high of 89.59% in Q3 2022 over five years.
- On a year-over-year basis, Return on Capital Employed [ROCE] has declined in each of the last four quarters, with an average year-over-year change of +10.94 percentage points over the last eight quarters.
- The strongest year-over-year quarter for Return on Capital Employed [ROCE] in the past five years was Q3 2022, with a gain of 70.68 percentage points; the weakest was Q3 2023, with a drop of 97.69 percentage points.
- According to Business Quant data, Return on Capital Employed [ROCE] for the three prior quarters was 46.25% (Q2 2025), 25.91% (Q1 2025) and 35.98% (Q4 2024).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROCE (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,076.25 Bn | 1,044.84 Bn | 19.71 Bn | 46.74% |
| 2 | Johnson & Johnson | 617.18 Bn | 535.70 Bn | 17.26 Bn | 17.83% |
| 3 | AbbVie | 464.58 Bn | 437.73 Bn | 12.70 Bn | 17.92% |
| 4 | Merck | 356.04 Bn | 310.47 Bn | 12.21 Bn | 6.28% |
| 5 | Novartis Ag | 269.07 Bn | 224.94 Bn | 11.24 Bn | 19.32% |
| 6 | Astrazeneca | 243.21 Bn | 216.77 Bn | 12.86 Bn | 9.54% |
| 7 | Amgen | 217.88 Bn | 173.28 Bn | 7.24 Bn | 16.66% |
| 8 | Gilead Sciences | 179.62 Bn | 153.74 Bn | 6.22 Bn | -5.97% |
| 9 | Pfizer | 158.45 Bn | 105.40 Bn | 10.94 Bn | 11.86% |
| 10 | Siga Technologies | 242.05 Mn | -429.61 Mn | - | - |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2025 | 43.28% |
| Jun 30, 2025 | 46.25% |
| Mar 31, 2025 | 25.91% |
| Dec 31, 2024 | 35.98% |
| Sep 30, 2024 | 60.90% |
| Jun 30, 2024 | 52.27% |
| Mar 31, 2024 | 55.77% |
| Dec 31, 2023 | 54.92% |
| Sep 30, 2023 | -8.10% |
| Jun 30, 2023 | 23.47% |
| Mar 31, 2023 | 24.58% |
| Dec 31, 2022 | 23.97% |
| Sep 30, 2022 | 89.59% |
| Jun 30, 2022 | 59.60% |
| Mar 31, 2022 | 46.59% |
| Dec 31, 2021 | 61.59% |
| Sep 30, 2021 | 18.91% |
| Jun 30, 2021 | 45.00% |
| Mar 31, 2021 | 63.24% |
| Dec 31, 2020 | 62.53% |
Siga Technologies Return on Capital Employed [ROCE] 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-capital-employed-%5Broce%5D&ticker=SIGA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-capital-employed-[roce]", "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-capital-employed-%5Broce%5D&ticker=SIGA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();