Satellos Bioscience (MSLE) Current Assets (2023 - 2026)
Satellos Bioscience's Current Assets was $65.76 million in the quarter ended Jun 30, 2026, down 12.6% from the prior quarter.
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Analysis
Satellos Bioscience (MSLE) Current Assets (2023 - 2026) Analysis & Trends
As of Dec 31, 2025, Current Assets at Satellos Bioscience came in at $31.88 million, down 37.2% from the prior year.
- In earlier years, Current Assets was $50.74 million in the year ended Dec 31, 2024 (+66.5%) and $30.48 million in the year ended Dec 31, 2023.
- Quarterly Current Assets has moved between $29.62 million (the quarter ended Dec 31, 2023) and $75.22 million (the quarter ended Mar 31, 2026) over five years.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Current Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,136.97 Bn | 1,105.55 Bn | 19.71 Bn | 64.67 Bn |
| 2 | Johnson & Johnson | 619.72 Bn | 538.25 Bn | 17.26 Bn | 59.77 Bn |
| 3 | AbbVie | 503.40 Bn | 476.52 Bn | 12.70 Bn | 33.67 Bn |
| 4 | Merck | 370.15 Bn | 324.53 Bn | 12.21 Bn | 36.68 Bn |
| 5 | Novartis Ag | 298.64 Bn | 262.63 Bn | 11.24 Bn | 27.35 Bn |
| 6 | Astrazeneca | 261.07 Bn | 234.76 Bn | 12.86 Bn | 27.97 Bn |
| 7 | Amgen | 237.00 Bn | 192.40 Bn | 7.24 Bn | 34.96 Bn |
| 8 | Gilead Sciences | 191.24 Bn | 165.43 Bn | 6.22 Bn | 13.95 Bn |
| 9 | Pfizer | 170.31 Bn | 116.96 Bn | 10.94 Bn | 41.36 Bn |
| 10 | Satellos Bioscience | 98.81 Mn | -109.33 Mn | - | 65.76 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 65.76 Mn |
| Mar 31, 2026 | 75.22 Mn |
| Dec 31, 2025 | 31.88 Mn |
| Dec 31, 2024 | 50.88 Mn |
| Dec 31, 2023 | 30.48 Mn |
API Access
Satellos Bioscience 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=current-assets&ticker=MSLE&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "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=current-assets&ticker=MSLE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();