Siga Technologies (SIGA) Non Operating Income (2010 - 2026)
Siga Technologies' Non Operating Income was $1.87 million in Q3 2025, up 40.3% from $1.33 million a year earlier and up 17.2% from the prior quarter.
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Analysis
Siga Technologies (SIGA) Non Operating Income (2010 - 2026) Analysis & Trends
On a trailing twelve-month basis, Siga Technologies' Non Operating Income was $6.65 million through Sep 30, 2025, up 14.2% year-over-year; for FY2024, it was $6.1 million, up 45.2% from FY2023.
- Non Operating Income has now increased for three consecutive years, with a five-year compound annual growth rate of 16.7% (FY2019 to FY2024).
- In earlier years, Non Operating Income was $4.2 million in FY2023 (+307.0%), $1.03 million in FY2022 (+919.9%), $101,172 in FY2021 (-81.0%) and $532,085 in FY2020 (-81.1%).
- The Q3 2025 figure marks the highest quarterly Non Operating Income since Q1 2024.
- Compared with a year earlier, Non Operating Income was higher in seven of the last eight quarters, with growth averaging 41.5%.
- The best year-over-year quarter for Non Operating Income over five years was Q3 2022 (growth of 886.5%); the worst was Q1 2021 (a decline of 93.8%).
- Per Business Quant data, SIGA's Non Operating Income in the three quarters before Q3 2025 was $1.59 million (Q2 2025), $1.68 million (Q1 2025) and $1.51 million (Q4 2024).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non Op. Inc. (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,348.13 Bn | 1,321.74 Bn | 20.46 Bn | -202.00 Mn |
| 2 | Johnson & Johnson | 675.90 Bn | 595.76 Bn | 17.30 Bn | - |
| 3 | AbbVie | 519.45 Bn | 487.50 Bn | 13.12 Bn | - |
| 4 | Merck | 364.95 Bn | 327.95 Bn | 13.19 Bn | - |
| 5 | Novartis Ag | 311.58 Bn | 285.16 Bn | - | - |
| 6 | Astrazeneca | 289.34 Bn | 262.94 Bn | 13.26 Bn | - |
| 7 | Amgen | 251.64 Bn | 203.30 Bn | 7.58 Bn | 1.63 Bn |
| 8 | Gilead Sciences | 212.05 Bn | 187.07 Bn | 6.73 Bn | -130.00 Mn |
| 9 | Pfizer | 167.35 Bn | 115.00 Bn | 12.56 Bn | - |
| 10 | Siga Technologies | 224.91 Mn | -309.59 Mn | 741,305.00 | 1.04 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 1.04 Mn |
| Jun 30, 2026 | 946,898.00 |
| Mar 31, 2026 | 1.28 Mn |
| Dec 31, 2025 | 1.54 Mn |
| Sep 30, 2025 | 1.87 Mn |
| Jun 30, 2025 | 1.59 Mn |
| Mar 31, 2025 | 1.68 Mn |
| Dec 31, 2024 | 1.51 Mn |
| Sep 30, 2024 | 1.33 Mn |
| Jun 30, 2024 | 1.32 Mn |
| Mar 31, 2024 | 1.94 Mn |
| Dec 31, 2023 | 1.24 Mn |
| Sep 30, 2023 | 883,148.00 |
| Jun 30, 2023 | 1.19 Mn |
| Mar 31, 2023 | 890,629.00 |
| Dec 31, 2022 | 677,233.00 |
| Sep 30, 2022 | 258,975.00 |
| Jun 30, 2022 | 72,373.00 |
| Mar 31, 2022 | 23,322.00 |
| Dec 31, 2021 | 25,117.00 |
API Access
Siga Technologies Non Operating Income 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=non-operating-income&ticker=SIGA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-operating-income", "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=non-operating-income&ticker=SIGA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();