Satellos Bioscience (MSLE) Operating Expenses (2024 - 2026)
Satellos Bioscience (MSLE) posted Operating Expenses of $12.17 million for the quarter ended Jun 30, 2026, up 91.1% from $6.37 million a year earlier.
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Analysis
Satellos Bioscience (MSLE) Operating Expenses (2024 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Operating Expenses at Satellos Bioscience was -$28.33 million; for the year ended Dec 31, 2025, it was -$26.46 million.
- In prior years, Satellos Bioscience's Operating Expenses was -$20.4 million in the year ended Dec 31, 2024.
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 | Satellos Bioscience | 98.81 Mn | -109.33 Mn | - | 12.17 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 12.17 Mn |
| Dec 31, 2025 | -26.46 Mn |
| Jun 30, 2025 | 6.37 Mn |
| Dec 31, 2024 | -20.40 Mn |
API Access
Satellos Bioscience 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=MSLE&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "MSLE", "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=MSLE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();