Satellos Bioscience (MSLE) Non-Current Assets (2023 - 2026)
Satellos Bioscience's Non-Current Assets came in at $7,000 for the quarter ended Jun 30, 2026, down 12.5% from the prior quarter.
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Analysis
Satellos Bioscience (MSLE) Non-Current Assets (2023 - 2026) Analysis & Trends
As of Dec 31, 2025, Satellos Bioscience's Non-Current Assets was $5,000, up 39.7% from the prior year.
- Going back by year, Non-Current Assets was $3,579 in the year ended Dec 31, 2024 (-99.9%) and $2.92 million in the year ended Dec 31, 2023.
- The five-year range for quarterly Non-Current Assets is $3,579 (the quarter ended Dec 31, 2024) to $2.92 million (the quarter ended Dec 31, 2023).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non-Current Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 655.56 Bn | 574.09 Bn | 17.26 Bn | 141.29 Bn |
| 2 | AbbVie | 470.94 Bn | 444.10 Bn | 12.70 Bn | 101.45 Bn |
| 3 | Merck | 367.14 Bn | 321.57 Bn | 12.21 Bn | 125.00 Mn |
| 4 | Novartis Ag | 280.33 Bn | 236.20 Bn | 11.24 Bn | 94.68 Bn |
| 5 | Astrazeneca | 257.78 Bn | 231.34 Bn | 12.86 Bn | 87.87 Bn |
| 6 | Amgen | 226.04 Bn | 181.44 Bn | 7.24 Bn | 60.68 Bn |
| 7 | Gilead Sciences | 188.89 Bn | 163.01 Bn | 6.22 Bn | 35.42 Bn |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn | 159.77 Bn |
| 9 | Vertex Pharmaceuticals | 133.68 Bn | 105.69 Bn | 2.84 Bn | 14.88 Bn |
| 10 | Satellos Bioscience | 136.19 Mn | 136.19 Mn | - | 7,000.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 7,000.00 |
| Mar 31, 2026 | 8,000.00 |
| Dec 31, 2025 | 5,000.00 |
| Dec 31, 2024 | 3,579.25 |
| Dec 31, 2023 | 2.92 Mn |
API Access
Satellos Bioscience Non-Current Assets 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-current-assets&ticker=MSLE&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-assets", "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=non-current-assets&ticker=MSLE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();