MBX Biosciences (MBX) Other Accumulated Expenses (2023 - 2026)
MBX Biosciences (MBX) recorded Other Accumulated Expenses of $13.26 million in Q2 2026, up 278.6% from $3.5 million a year earlier and up 176.9% from the prior quarter.
MBX Biosciences (MBX) Other Accumulated Expenses (2023 - 2026) Analysis & Trends
At the end of FY2025, MBX Biosciences reported Other Accumulated Expenses of $7.4 million, up 141.7% from FY2024.
- Across earlier years, Other Accumulated Expenses came in at $3.06 million in FY2024 (+239.2%) and $903,000 in FY2023.
- The Q2 2026 figure is the highest quarterly Other Accumulated Expenses in data going back to Q4 2023.
- On a year-over-year basis, Other Accumulated Expenses has increased for four consecutive quarters, with growth averaging 138.3% over the last five quarters.
- Per Business Quant, the preceding three quarters came in at $4.79 million (Q1 2026), $7.4 million (Q4 2025) and $4.79 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Eli Lilly | 1,140.91 Bn | 1,109.50 Bn | 19.71 Bn |
| 2 | Johnson & Johnson | 634.46 Bn | 554.32 Bn | 17.30 Bn |
| 3 | AbbVie | 500.42 Bn | 473.54 Bn | 12.70 Bn |
| 4 | Merck | 355.19 Bn | 309.56 Bn | 12.21 Bn |
| 5 | Novartis Ag | 300.18 Bn | 264.17 Bn | 11.24 Bn |
| 6 | Astrazeneca | 263.17 Bn | 236.86 Bn | 12.86 Bn |
| 7 | Amgen | 237.83 Bn | 193.23 Bn | 7.24 Bn |
| 8 | Gilead Sciences | 193.81 Bn | 168.01 Bn | 6.22 Bn |
| 9 | Pfizer | 170.12 Bn | 116.76 Bn | 10.94 Bn |
| 10 | MBX Biosciences | 2.29 Bn | 670.26 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 13.26 Mn |
| Mar 31, 2026 | 4.79 Mn |
| Dec 31, 2025 | 7.40 Mn |
| Sep 30, 2025 | 4.79 Mn |
| Jun 30, 2025 | 3.50 Mn |
| Mar 31, 2025 | 4.65 Mn |
| Dec 31, 2024 | 3.06 Mn |
| Sep 30, 2024 | 3.72 Mn |
| Dec 31, 2023 | 903,000.00 |
MBX Biosciences Other 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=other-accumulated-expenses&ticker=MBX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-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=other-accumulated-expenses&ticker=MBX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();