MBX Biosciences (MBX) EBIT (2023 - 2026)
MBX Biosciences (MBX) recorded EBIT of -$40.93 million in Q2 2026, compared with -$21.81 million a year earlier.
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Analysis
MBX Biosciences (MBX) EBIT (2023 - 2026) Analysis & Trends
On a TTM basis, MBX Biosciences' EBIT came in at -$117.92 million as of Jun 30, 2026; for FY2025, it came in at -$98.06 million.
- Across earlier years, EBIT came in at -$68.19 million in FY2024 and -$35.31 million in FY2023.
- The Q2 2026 figure is the lowest quarterly EBIT in data going back to Q3 2023.
- Per Business Quant, the preceding three quarters came in at -$27.27 million (Q1 2026), -$25.8 million (Q4 2025) and -$23.93 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBIT (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,264.65 Bn | 1,238.27 Bn | 20.46 Bn | 12.79 Bn |
| 2 | Johnson & Johnson | 677.74 Bn | 597.60 Bn | 17.30 Bn | 6.18 Bn |
| 3 | AbbVie | 517.10 Bn | 485.11 Bn | 13.12 Bn | 6.27 Bn |
| 4 | Merck | 362.23 Bn | 325.17 Bn | 13.19 Bn | 5.59 Bn |
| 5 | Novartis Ag | 315.90 Bn | 276.16 Bn | 11.24 Bn | 4.75 Bn |
| 6 | Astrazeneca | 289.40 Bn | 266.24 Bn | 12.86 Bn | 3.16 Bn |
| 7 | Amgen | 249.90 Bn | 201.56 Bn | 7.58 Bn | 3.71 Bn |
| 8 | Gilead Sciences | 209.15 Bn | 184.26 Bn | 6.73 Bn | 3.46 Bn |
| 9 | Pfizer | 165.88 Bn | 113.23 Bn | 12.56 Bn | 5.47 Bn |
| 10 | MBX Biosciences | 2.69 Bn | 1.07 Bn | - | -40.93 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -40.93 Mn |
| Mar 31, 2026 | -27.27 Mn |
| Dec 31, 2025 | -25.80 Mn |
| Sep 30, 2025 | -23.93 Mn |
| Jun 30, 2025 | -21.81 Mn |
| Mar 31, 2025 | -26.53 Mn |
| Dec 31, 2024 | -18.61 Mn |
| Sep 30, 2024 | -19.61 Mn |
| Jun 30, 2024 | -16.66 Mn |
| Mar 31, 2024 | -13.31 Mn |
| Dec 31, 2023 | -9.99 Mn |
| Sep 30, 2023 | -10.95 Mn |
API Access
MBX Biosciences EBIT 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=ebit&ticker=MBX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebit", "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=ebit&ticker=MBX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();