MBX Biosciences (MBX) Accumulated Expenses (2023 - 2026)
MBX Biosciences (MBX) posted Accumulated Expenses of $18.67 million for Q2 2026, up 219.0% from $5.85 million a year earlier and up 151.8% from the prior quarter.
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Analysis
MBX Biosciences (MBX) Accumulated Expenses (2023 - 2026) Analysis & Trends
At the end of FY2025, MBX Biosciences' Accumulated Expenses came in at $12.35 million, up 122.7% from FY2024.
- In prior years, MBX Biosciences' Accumulated Expenses was $5.55 million in FY2024 (+132.8%) and $2.38 million in FY2023.
- The Q2 2026 figure stands as the highest quarterly Accumulated Expenses in data going back to Q4 2023.
- On a year-over-year basis, Accumulated Expenses has increased in each of the last four quarters, with growth averaging 107.5% over the last five quarters.
- According to Business Quant data, Accumulated Expenses for the three prior quarters was $7.42 million (Q1 2026), $12.35 million (Q4 2025) and $8.14 million (Q3 2025).
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 | 18.67 Mn |
| Mar 31, 2026 | 7.42 Mn |
| Dec 31, 2025 | 12.35 Mn |
| Sep 30, 2025 | 8.14 Mn |
| Jun 30, 2025 | 5.85 Mn |
| Mar 31, 2025 | 6.11 Mn |
| Dec 31, 2024 | 5.55 Mn |
| Sep 30, 2024 | 5.75 Mn |
| Dec 31, 2023 | 2.38 Mn |
API Access
MBX Biosciences Accumulated 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=accumulated-expenses&ticker=MBX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "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=accumulated-expenses&ticker=MBX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();