Siga Technologies (SIGA) Cost of Revenue (2018 - 2025)
Siga Technologies' Cost of Revenue was $1 million in Q3 2025, down 38.2% from $1.62 million a year earlier and down 96.1% from the prior quarter.
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Analysis
Siga Technologies (SIGA) Cost of Revenue (2018 - 2025) Analysis & Trends
On a trailing twelve-month basis, Siga Technologies' Cost of Revenue was $40.85 million through Sep 30, 2025, up 27.8% year-over-year; for FY2024, it came in at $31.29 million, up 75.5% from FY2023.
- Cost of Revenue shows a five-year compound annual growth rate of 77.4% (FY2019 to FY2024).
- In earlier years, Cost of Revenue was $17.83 million in FY2023 (+70.9%), $10.43 million in FY2022 (-37.2%), $16.6 million in FY2021 (+12.2%) and $14.8 million in FY2020 (+730.0%).
- Quarterly Cost of Revenue has moved between $83,276 (Q3 2021) and $25.55 million (Q2 2025) over five years.
- Compared with a year earlier, Cost of Revenue was higher in three of the last six quarters, with growth averaging 38.5%.
- The best year-over-year quarter for Cost of Revenue over five years was Q4 2021 (growth of 252.5%); the worst was Q3 2021 (a decline of 98.5%).
- Per Business Quant data, SIGA's Cost of Revenue in the three quarters before Q3 2025 was $25.55 million (Q2 2025), $157,738 (Q1 2025) and $14.13 million (Q4 2024).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cost of Rev (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,076.25 Bn | 1,044.84 Bn | 19.71 Bn | 3.27 Bn |
| 2 | Johnson & Johnson | 617.18 Bn | 535.70 Bn | 17.26 Bn | 8.05 Bn |
| 3 | AbbVie | 464.58 Bn | 437.73 Bn | 12.70 Bn | 4.29 Bn |
| 4 | Merck | 356.04 Bn | 310.47 Bn | 12.21 Bn | 4.40 Bn |
| 5 | Novartis Ag | 269.07 Bn | 224.94 Bn | 11.24 Bn | 3.71 Bn |
| 6 | Astrazeneca | 243.21 Bn | 216.77 Bn | 12.86 Bn | 2.52 Bn |
| 7 | Amgen | 217.88 Bn | 173.28 Bn | 7.24 Bn | 2.81 Bn |
| 8 | Gilead Sciences | 179.62 Bn | 153.74 Bn | 6.22 Bn | 1.58 Bn |
| 9 | Pfizer | 158.45 Bn | 105.40 Bn | 10.94 Bn | 4.09 Bn |
| 10 | Siga Technologies | 242.05 Mn | -429.61 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2025 | 1.00 Mn |
| Jun 30, 2025 | 25.55 Mn |
| Mar 31, 2025 | 157,738.00 |
| Dec 31, 2024 | 14.13 Mn |
| Sep 30, 2024 | 1.62 Mn |
| Jun 30, 2024 | 12.31 Mn |
| Mar 31, 2024 | 3.23 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 | 250,848.00 |
| Dec 31, 2020 | 4.33 Mn |
API Access
Siga Technologies Cost of Revenue 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=cost-of-revenue&ticker=SIGA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cost-of-revenue", "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=cost-of-revenue&ticker=SIGA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();