MBX Biosciences (MBX) EBITDA (2023 - 2026)
MBX Biosciences' EBITDA was -$40.83 million in Q2 2026, compared with -$21.71 million a year earlier.
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Analysis
MBX Biosciences (MBX) EBITDA (2023 - 2026) Analysis & Trends
On a trailing twelve-month basis, MBX Biosciences' EBITDA was -$117.57 million through Jun 30, 2026; for FY2025, it came in at -$97.81 million.
- In earlier years, EBITDA was -$67.95 million in FY2024 and -$35.11 million in FY2023.
- The Q2 2026 figure marks the lowest quarterly EBITDA in data going back to Q3 2023.
- Per Business Quant data, MBX's EBITDA in the three quarters before Q2 2026 was -$27.17 million (Q1 2026), -$25.75 million (Q4 2025) and -$23.83 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 653.54 Bn | 572.07 Bn | 17.26 Bn | 9.10 Bn |
| 2 | AbbVie | 467.01 Bn | 440.17 Bn | 12.70 Bn | 8.33 Bn |
| 3 | Merck | 367.16 Bn | 321.59 Bn | 12.21 Bn | 999.00 Mn |
| 4 | Novartis Ag | 277.56 Bn | 233.43 Bn | 11.24 Bn | - |
| 5 | Astrazeneca | 258.23 Bn | 231.79 Bn | 12.86 Bn | 5.09 Bn |
| 6 | Amgen | 224.14 Bn | 179.54 Bn | 7.24 Bn | 4.63 Bn |
| 7 | Gilead Sciences | 187.30 Bn | 161.42 Bn | 6.22 Bn | -9.70 Bn |
| 8 | Pfizer | 163.47 Bn | 110.41 Bn | 10.94 Bn | 5.89 Bn |
| 9 | Vertex Pharmaceuticals | 133.31 Bn | 105.31 Bn | 2.84 Bn | 1.30 Bn |
| 10 | MBX Biosciences | 2.57 Bn | 2.57 Bn | - | -40.83 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -40.83 Mn |
| Mar 31, 2026 | -27.17 Mn |
| Dec 31, 2025 | -25.75 Mn |
| Sep 30, 2025 | -23.83 Mn |
| Jun 30, 2025 | -21.71 Mn |
| Mar 31, 2025 | -26.43 Mn |
| Dec 31, 2024 | -18.57 Mn |
| Sep 30, 2024 | -19.51 Mn |
| Jun 30, 2024 | -16.56 Mn |
| Mar 31, 2024 | -13.27 Mn |
| Dec 31, 2023 | -9.91 Mn |
| Sep 30, 2023 | -10.85 Mn |
API Access
MBX Biosciences EBITDA 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=ebitda&ticker=MBX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=MBX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();