MBX Biosciences (MBX) Prepaid Assets (2023 - 2026)
MBX Biosciences' Prepaid Assets came in at $9.28 million for Q2 2026, up 116.6% from $4.28 million a year earlier and up 8.4% from the prior quarter.
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Analysis
MBX Biosciences (MBX) Prepaid Assets (2023 - 2026) Analysis & Trends
At the end of FY2025, MBX Biosciences' Prepaid Assets was $7.83 million, up 52.5% from FY2024.
- Going back by year, Prepaid Assets was $5.14 million in FY2024 (+84.2%) and $2.79 million in FY2023.
- The Q2 2026 figure represents the highest quarterly Prepaid Assets in data going back to Q4 2023.
- Year-over-year, Prepaid Assets has increased for four consecutive quarters, with growth averaging 88.1% over the last five quarters.
- Business Quant data shows MBX's Prepaid Assets at $8.56 million (Q1 2026), $7.83 million (Q4 2025) and $5.83 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Johnson & Johnson | 653.54 Bn | 572.07 Bn | 17.26 Bn |
| 2 | AbbVie | 467.01 Bn | 440.17 Bn | 12.70 Bn |
| 3 | Merck | 367.16 Bn | 321.59 Bn | 12.21 Bn |
| 4 | Novartis Ag | 277.56 Bn | 233.43 Bn | 11.24 Bn |
| 5 | Astrazeneca | 258.23 Bn | 231.79 Bn | 12.86 Bn |
| 6 | Amgen | 224.14 Bn | 179.54 Bn | 7.24 Bn |
| 7 | Gilead Sciences | 187.30 Bn | 161.42 Bn | 6.22 Bn |
| 8 | Pfizer | 163.47 Bn | 110.41 Bn | 10.94 Bn |
| 9 | Vertex Pharmaceuticals | 133.31 Bn | 105.31 Bn | 2.84 Bn |
| 10 | MBX Biosciences | 2.57 Bn | 2.57 Bn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 9.28 Mn |
| Mar 31, 2026 | 8.56 Mn |
| Dec 31, 2025 | 7.83 Mn |
| Sep 30, 2025 | 5.83 Mn |
| Jun 30, 2025 | 4.28 Mn |
| Mar 31, 2025 | 3.49 Mn |
| Dec 31, 2024 | 5.14 Mn |
| Sep 30, 2024 | 4.11 Mn |
| Dec 31, 2023 | 2.79 Mn |
API Access
MBX Biosciences Prepaid 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=prepaid-assets&ticker=MBX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "prepaid-assets", "ticker": "MBX", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=prepaid-assets&ticker=MBX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();