MBX Biosciences (MBX) Consolidated Net Income (2023 - 2026)
MBX Biosciences (MBX) recorded Consolidated Net Income of -$37.1 million in Q2 2026, compared with -$19.41 million a year earlier.
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MBX Biosciences (MBX) Consolidated Net Income (2023 - 2026) Analysis & Trends
On a TTM basis, MBX Biosciences' Consolidated Net Income came in at -$104.29 million as of Jun 30, 2026; for FY2025, it was -$86.97 million.
- Across earlier years, Consolidated Net Income came in at -$61.92 million in FY2024 and -$32.56 million in FY2023.
- The Q2 2026 figure is the lowest quarterly Consolidated Net Income in data going back to Q3 2023.
- Per Business Quant, the preceding three quarters came in at -$23.52 million (Q1 2026), -$22.06 million (Q4 2025) and -$21.62 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Consol Net Inc. (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 653.54 Bn | 572.07 Bn | 17.26 Bn | 5.53 Bn |
| 2 | AbbVie | 467.01 Bn | 440.17 Bn | 12.70 Bn | 3.62 Bn |
| 3 | Merck | 367.16 Bn | 321.59 Bn | 12.21 Bn | -1.34 Bn |
| 4 | Novartis Ag | 277.56 Bn | 233.43 Bn | 11.24 Bn | 3.26 Bn |
| 5 | Astrazeneca | 258.23 Bn | 231.79 Bn | 12.86 Bn | 2.51 Bn |
| 6 | Amgen | 224.14 Bn | 179.54 Bn | 7.24 Bn | 2.38 Bn |
| 7 | Gilead Sciences | 187.30 Bn | 161.42 Bn | 6.22 Bn | -10.50 Bn |
| 8 | Pfizer | 163.47 Bn | 110.41 Bn | 10.94 Bn | -237.00 Mn |
| 9 | Vertex Pharmaceuticals | 133.31 Bn | 105.31 Bn | 2.84 Bn | 1.10 Bn |
| 10 | MBX Biosciences | 2.57 Bn | 2.57 Bn | - | -37.10 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -37.10 Mn |
| Mar 31, 2026 | -23.52 Mn |
| Dec 31, 2025 | -22.06 Mn |
| Sep 30, 2025 | -21.62 Mn |
| Jun 30, 2025 | -19.41 Mn |
| Mar 31, 2025 | -23.88 Mn |
| Dec 31, 2024 | -15.59 Mn |
| Sep 30, 2024 | -18.14 Mn |
| Jun 30, 2024 | -15.86 Mn |
| Mar 31, 2024 | -12.34 Mn |
| Dec 31, 2023 | -8.84 Mn |
| Sep 30, 2023 | -10.16 Mn |
API Access
MBX Biosciences Consolidated Net Income 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=consolidated-net-income&ticker=MBX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "consolidated-net-income", "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=consolidated-net-income&ticker=MBX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();