MBX Biosciences (MBX) Cash from Operations (2023 - 2026)
MBX Biosciences' Cash from Operations came in at -$22.62 million for Q2 2026, compared with -$17.43 million a year earlier.
MBX Biosciences (MBX) Cash from Operations (2023 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, MBX Biosciences reported Cash from Operations of -$82.67 million; for FY2025, it came in at -$79.95 million.
- Going back by year, Cash from Operations was -$54.68 million in FY2024 and -$31.98 million in FY2023.
- The Q2 2026 figure represents the lowest quarterly Cash from Operations since Q1 2025.
- Business Quant data shows MBX's Cash from Operations at -$20.21 million (Q1 2026), -$18.3 million (Q4 2025) and -$21.54 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash from Ops. (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 653.54 Bn | 572.07 Bn | 17.26 Bn | 8.62 Bn |
| 2 | AbbVie | 467.01 Bn | 440.17 Bn | 12.70 Bn | 3.44 Bn |
| 3 | Merck | 367.16 Bn | 321.59 Bn | 12.21 Bn | 5.37 Bn |
| 4 | Novartis Ag | 277.56 Bn | 233.43 Bn | 11.24 Bn | 5.88 Bn |
| 5 | Astrazeneca | 258.23 Bn | 231.79 Bn | 12.86 Bn | 4.58 Bn |
| 6 | Amgen | 224.14 Bn | 179.54 Bn | 7.24 Bn | 4.00 Bn |
| 7 | Gilead Sciences | 187.30 Bn | 161.42 Bn | 6.22 Bn | 3.57 Bn |
| 8 | Pfizer | 163.47 Bn | 110.41 Bn | 10.94 Bn | 835.00 Mn |
| 9 | Vertex Pharmaceuticals | 133.31 Bn | 105.31 Bn | 2.84 Bn | 1.13 Bn |
| 10 | MBX Biosciences | 2.57 Bn | 2.57 Bn | - | -22.62 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -22.62 Mn |
| Mar 31, 2026 | -20.21 Mn |
| Dec 31, 2025 | -18.30 Mn |
| Sep 30, 2025 | -21.54 Mn |
| Jun 30, 2025 | -17.43 Mn |
| Mar 31, 2025 | -22.68 Mn |
| Dec 31, 2024 | -16.04 Mn |
| Sep 30, 2024 | -14.66 Mn |
| Jun 30, 2024 | -13.27 Mn |
| Mar 31, 2024 | -10.71 Mn |
| Dec 31, 2023 | -11.15 Mn |
MBX Biosciences Cash from Operations 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=cash-from-operations&ticker=MBX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-from-operations", "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=cash-from-operations&ticker=MBX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();