Satellos Bioscience (MSLE) Enterprise Value (2023 - 2026)
Satellos Bioscience's Enterprise Value was $58.43 million in the quarter ended Jun 30, 2026, up 3.9% from $56.24 million a year earlier and up 241.3% from the prior quarter.
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Analysis
Satellos Bioscience (MSLE) Enterprise Value (2023 - 2026) Analysis & Trends
On a trailing twelve-month basis, Satellos Bioscience's Enterprise Value was -$77.69 million through Jun 30, 2026; for the year ended Dec 31, 2025, it was $90.9 million, up 413.1% from the prior year.
- In earlier years, Enterprise Value was $17.71 million in the year ended Dec 31, 2024 (-54.5%) and $38.92 million in the year ended Dec 31, 2023.
- Quarterly Enterprise Value has moved between $17.12 million (the quarter ended Mar 31, 2026) and $90.9 million (the quarter ended Dec 31, 2025) over five years.
- Compared with a year earlier, Enterprise Value was higher in two of the last four quarters, with growth averaging 72.2%.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Eli Lilly | 1,130.22 Bn | 1,098.80 Bn | 19.71 Bn |
| 2 | Johnson & Johnson | 614.95 Bn | 533.47 Bn | 17.26 Bn |
| 3 | AbbVie | 505.05 Bn | 478.16 Bn | 12.70 Bn |
| 4 | Merck | 368.08 Bn | 322.46 Bn | 12.21 Bn |
| 5 | Novartis Ag | 298.32 Bn | 262.31 Bn | 11.24 Bn |
| 6 | Astrazeneca | 261.58 Bn | 235.26 Bn | 12.86 Bn |
| 7 | Amgen | 236.05 Bn | 191.45 Bn | 7.24 Bn |
| 8 | Gilead Sciences | 190.61 Bn | 164.80 Bn | 6.22 Bn |
| 9 | Pfizer | 169.86 Bn | 116.50 Bn | 10.94 Bn |
| 10 | Satellos Bioscience | 101.15 Mn | -106.99 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 58.43 Mn |
| Mar 31, 2026 | 17.12 Mn |
| Dec 31, 2025 | 63.19 Mn |
| Jun 30, 2025 | 56.24 Mn |
| Mar 31, 2025 | 64.85 Mn |
| Dec 31, 2024 | 19.04 Mn |
| Dec 31, 2023 | 38.44 Mn |
API Access
Satellos Bioscience Enterprise Value 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=enterprise-value&ticker=MSLE&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "enterprise-value", "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=enterprise-value&ticker=MSLE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();