MBX Biosciences (MBX) Change in Accured Expenses (2023 - 2026)
MBX Biosciences (MBX) posted Change in Accured Expenses of $11.2 million for Q2 2026, compared with -$253,000 a year earlier.
MBX Biosciences (MBX) Change in Accured Expenses (2023 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Change in Accured Expenses at MBX Biosciences was $12.83 million, up 925.7% year-over-year; for FY2025, it came in at $6.8 million, up 114.3% from FY2024.
- In prior years, MBX Biosciences' Change in Accured Expenses was $3.17 million in FY2024 and $45,000 in FY2023.
- The Q2 2026 figure stands as the highest quarterly Change in Accured Expenses in data going back to Q4 2023.
- According to Business Quant data, Change in Accured Expenses for the three prior quarters was -$4.86 million (Q1 2026), $4.45 million (Q4 2025) and $2.04 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accured Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 653.54 Bn | 572.07 Bn | 17.26 Bn | 2.96 Bn |
| 2 | AbbVie | 467.01 Bn | 440.17 Bn | 12.70 Bn | 1.20 Bn |
| 3 | Merck | 367.16 Bn | 321.59 Bn | 12.21 Bn | - |
| 4 | Novartis Ag | 277.56 Bn | 233.43 Bn | 11.24 Bn | -251.00 Mn |
| 5 | Astrazeneca | 258.23 Bn | 231.79 Bn | 12.86 Bn | - |
| 6 | Amgen | 224.14 Bn | 179.54 Bn | 7.24 Bn | 901.00 Mn |
| 7 | Gilead Sciences | 187.30 Bn | 161.42 Bn | 6.22 Bn | 338.00 Mn |
| 8 | Pfizer | 163.47 Bn | 110.41 Bn | 10.94 Bn | - |
| 9 | Vertex Pharmaceuticals | 133.31 Bn | 105.31 Bn | 2.84 Bn | 222.50 Mn |
| 10 | MBX Biosciences | 2.57 Bn | 2.57 Bn | - | 11.20 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 11.20 Mn |
| Mar 31, 2026 | -4.86 Mn |
| Dec 31, 2025 | 4.45 Mn |
| Sep 30, 2025 | 2.04 Mn |
| Jun 30, 2025 | -253,000.00 |
| Mar 31, 2025 | 558,000.00 |
| Dec 31, 2024 | -203,000.00 |
| Sep 30, 2024 | 1.15 Mn |
| Jun 30, 2024 | 2.64 Mn |
| Mar 31, 2024 | -411,000.00 |
| Dec 31, 2023 | -1.18 Mn |
MBX Biosciences Change in Accured 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=change-in-accured-expenses&ticker=MBX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-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=change-in-accured-expenses&ticker=MBX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();