MBX Biosciences (MBX) Net Cash Flow (2023 - 2026)
MBX Biosciences' Net Cash Flow came in at $8.91 million for Q2 2026, down 9.8% from $9.88 million a year earlier.
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Analysis
MBX Biosciences (MBX) Net Cash Flow (2023 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, MBX Biosciences reported Net Cash Flow of $14.55 million, down 46.7% year-over-year; for FY2025, it came in at $25.94 million, up 37.8% from FY2024.
- Going back by year, Net Cash Flow was $18.83 million in FY2024 (+198.2%) and $6.31 million in FY2023.
- The five-year range for quarterly Net Cash Flow is -$147.84 million (Q4 2025) to $183.34 million (Q3 2025).
- Business Quant data shows MBX's Net Cash Flow at -$29.87 million (Q1 2026), -$147.84 million (Q4 2025) and $183.34 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | NCF (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 653.54 Bn | 572.07 Bn | 17.26 Bn | -1.27 Bn |
| 2 | AbbVie | 467.01 Bn | 440.17 Bn | 12.70 Bn | -2.82 Bn |
| 3 | Merck | 367.16 Bn | 321.59 Bn | 12.21 Bn | 1.53 Bn |
| 4 | Novartis Ag | 277.56 Bn | 233.43 Bn | 11.24 Bn | 757.00 Mn |
| 5 | Astrazeneca | 258.23 Bn | 231.79 Bn | 12.86 Bn | 1.62 Bn |
| 6 | Amgen | 224.14 Bn | 179.54 Bn | 7.24 Bn | 1.95 Bn |
| 7 | Gilead Sciences | 187.30 Bn | 161.42 Bn | 6.22 Bn | -4.43 Bn |
| 8 | Pfizer | 163.47 Bn | 110.41 Bn | 10.94 Bn | -722.00 Mn |
| 9 | Vertex Pharmaceuticals | 133.31 Bn | 105.31 Bn | 2.84 Bn | 652.90 Mn |
| 10 | MBX Biosciences | 2.57 Bn | 2.57 Bn | - | 8.91 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 8.91 Mn |
| Mar 31, 2026 | -29.87 Mn |
| Dec 31, 2025 | -147.84 Mn |
| Sep 30, 2025 | 183.34 Mn |
| Jun 30, 2025 | 9.88 Mn |
| Mar 31, 2025 | -19.45 Mn |
| Dec 31, 2024 | -83.51 Mn |
| Sep 30, 2024 | 120.36 Mn |
| Jun 30, 2024 | -22.92 Mn |
| Mar 31, 2024 | 4.90 Mn |
| Dec 31, 2023 | -40.08 Mn |
API Access
MBX Biosciences Net Cash Flow 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=net-cash-flow&ticker=MBX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "net-cash-flow", "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=net-cash-flow&ticker=MBX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();