Siga Technologies (SIGA) Receivables (2010 - 2025)
Siga Technologies (SIGA) recorded Receivables of $3.26 million in Q4 2025, down 84.6% from $21.17 million a year earlier but up 21.3% from the prior quarter.
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Analysis
Siga Technologies (SIGA) Receivables (2010 - 2025) Analysis & Trends
Starting with Q4 2010, Siga Technologies' Receivables history includes 60 quarters.
- Annual Receivables has a five-year compound annual growth rate of -0.5% (FY2020 to FY2025).
- Across earlier years, Receivables came in at $21.17 million in FY2024 (+0.2%), $21.13 million in FY2023 (-53.5%), $45.41 million in FY2022 (-45.7%) and $83.65 million in FY2021.
- Quarterly Receivables has ranged from $2.69 million in Q3 2025 to $83.65 million in Q4 2021 over the past five years.
- On a year-over-year basis, Receivables has declined for four consecutive quarters, with an average decline of 15.3% over the last eight quarters.
- Peak year-over-year performance for Receivables in the last five years was growth of 226.2% in Q1 2023, against a decline of 90.5% in Q3 2021 at the low end.
- Per Business Quant, the preceding three quarters came in at $2.69 million (Q3 2025), $7.19 million (Q2 2025) and $8.09 million (Q1 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Receivables (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,264.65 Bn | 1,238.27 Bn | 20.46 Bn | 25.23 Bn |
| 2 | Johnson & Johnson | 677.74 Bn | 597.60 Bn | 17.30 Bn | 18.99 Bn |
| 3 | AbbVie | 517.10 Bn | 485.11 Bn | 13.12 Bn | 13.51 Bn |
| 4 | Merck | 362.23 Bn | 325.17 Bn | 13.19 Bn | 12.74 Bn |
| 5 | Novartis Ag | 315.90 Bn | 276.16 Bn | 11.24 Bn | 9.64 Bn |
| 6 | Astrazeneca | 289.40 Bn | 266.24 Bn | 12.86 Bn | 14.33 Bn |
| 7 | Amgen | 249.90 Bn | 201.56 Bn | 7.58 Bn | 10.35 Bn |
| 8 | Gilead Sciences | 209.15 Bn | 184.26 Bn | 6.73 Bn | 5.01 Bn |
| 9 | Pfizer | 165.88 Bn | 113.23 Bn | 12.56 Bn | 14.19 Bn |
| 10 | Siga Technologies | 242.74 Mn | -428.92 Mn | - | 3.26 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 3.26 Mn |
| Sep 30, 2025 | 2.69 Mn |
| Jun 30, 2025 | 7.19 Mn |
| Mar 31, 2025 | 8.09 Mn |
| Dec 31, 2024 | 21.17 Mn |
| Sep 30, 2024 | 14.89 Mn |
| Jun 30, 2024 | 17.65 Mn |
| Mar 31, 2024 | 34.93 Mn |
| Dec 31, 2023 | 21.13 Mn |
| Sep 30, 2023 | 14.95 Mn |
| Jun 30, 2023 | 9.83 Mn |
| Mar 31, 2023 | 17.42 Mn |
| Dec 31, 2022 | 45.41 Mn |
| Sep 30, 2022 | 54.93 Mn |
| Jun 30, 2022 | 19.60 Mn |
| Mar 31, 2022 | 5.34 Mn |
| Dec 31, 2021 | 83.65 Mn |
| Sep 30, 2021 | 3.82 Mn |
| Jun 30, 2021 | 7.21 Mn |
| Mar 31, 2021 | 4.00 Mn |
API Access
Siga Technologies Receivables 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=receivables&ticker=SIGA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables", "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=receivables&ticker=SIGA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();