Soligenix (SNGX) Operating Expenses (2010 - 2026)
Soligenix (SNGX) reported Operating Expenses of $2.1 million for Q2 2026, down 24.0% from $2.76 million a year earlier and down 27.2% from the prior quarter.
Powered by 
Analysis
Soligenix (SNGX) Operating Expenses (2010 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Soligenix's Operating Expenses came in at $11.04 million, down 2.9% year-over-year; for FY2025, it was $11.85 million, up 25.5% from FY2024.
- Operating Expenses has a five-year compound annual growth rate of -9.1% (FY2020 to FY2025).
- By year, Operating Expenses came in at $9.44 million in FY2024 (+21.1%), $7.8 million in FY2023 (-46.7%), $14.64 million in FY2022 (+10.9%) and $13.19 million in FY2021 (-31.0%).
- The Q2 2026 figure ranks as the lowest quarterly Operating Expenses since Q3 2024.
- Year over year, Operating Expenses has now declined in each of the last three quarters, with growth averaging 22.5% over the last eight quarters.
- The high point for year-over-year Operating Expenses in five years was Q1 2022 (growth of 89.8%); the low point was Q2 2023 (a decline of 51.8%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $2.88 million (Q1 2026), $3.47 million (Q4 2025) and $2.58 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,136.97 Bn | 1,105.55 Bn | 19.71 Bn | 7.95 Bn |
| 2 | Johnson & Johnson | 619.72 Bn | 538.25 Bn | 17.26 Bn | 10.12 Bn |
| 3 | AbbVie | 503.40 Bn | 476.52 Bn | 12.70 Bn | 10.56 Bn |
| 4 | Merck | 370.15 Bn | 324.53 Bn | 12.21 Bn | 12.80 Bn |
| 5 | Novartis Ag | 298.64 Bn | 262.63 Bn | 11.24 Bn | 6.09 Bn |
| 6 | Astrazeneca | 261.07 Bn | 234.76 Bn | 12.86 Bn | 9.70 Bn |
| 7 | Amgen | 237.00 Bn | 192.40 Bn | 7.24 Bn | 6.54 Bn |
| 8 | Gilead Sciences | 191.24 Bn | 165.43 Bn | 6.22 Bn | 18.20 Bn |
| 9 | Pfizer | 170.31 Bn | 116.96 Bn | 10.94 Bn | 6.68 Bn |
| 10 | Soligenix | 5.60 Mn | -28.70 Mn | - | 2.10 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.10 Mn |
| Mar 31, 2026 | 2.88 Mn |
| Dec 31, 2025 | 3.47 Mn |
| Sep 30, 2025 | 2.58 Mn |
| Jun 30, 2025 | 2.76 Mn |
| Mar 31, 2025 | 3.03 Mn |
| Dec 31, 2024 | 3.71 Mn |
| Sep 30, 2024 | 1.87 Mn |
| Jun 30, 2024 | 1.74 Mn |
| Mar 31, 2024 | 2.12 Mn |
| Dec 31, 2023 | 2.16 Mn |
| Sep 30, 2023 | 1.80 Mn |
| Jun 30, 2023 | 1.65 Mn |
| Mar 31, 2023 | 2.18 Mn |
| Dec 31, 2022 | 3.80 Mn |
| Sep 30, 2022 | 3.12 Mn |
| Jun 30, 2022 | 3.43 Mn |
| Mar 31, 2022 | 4.29 Mn |
| Dec 31, 2021 | 4.55 Mn |
| Sep 30, 2021 | 3.38 Mn |
API Access
Soligenix Operating Expenses 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=operating-expenses&ticker=SNGX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "SNGX", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=operating-expenses&ticker=SNGX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();