MBX Biosciences (MBX) Return on Capital Employed [ROCE] (2024 - 2026)
MBX Biosciences (MBX) reported Return on Capital Employed [ROCE] of -28.03% for Q2 2026, up 10.10 percentage points from -38.14% a year earlier but down 3.60 percentage points from the prior quarter.
Powered by 
Analysis
MBX Biosciences (MBX) Return on Capital Employed [ROCE] (2024 - 2026) Analysis & Trends
For FY2025, MBX Biosciences posted Return on Capital Employed [ROCE] of -31.49%, up 9.76 percentage points from FY2024.
- By year, Return on Capital Employed [ROCE] came in at -41.25% in FY2024.
- Five-year quarterly Return on Capital Employed [ROCE] spans a low of -38.14% in Q2 2025 and a high of -24.43% in Q1 2026.
- Per Business Quant data, the three quarters before Q2 2026 came in at -24.43% (Q1 2026), -26.00% (Q4 2025) and -29.92% (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROCE (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 653.54 Bn | 572.07 Bn | 17.26 Bn | 17.83% |
| 2 | AbbVie | 467.01 Bn | 440.17 Bn | 12.70 Bn | 17.92% |
| 3 | Merck | 367.16 Bn | 321.59 Bn | 12.21 Bn | 6.28% |
| 4 | Novartis Ag | 277.56 Bn | 233.43 Bn | 11.24 Bn | 19.32% |
| 5 | Astrazeneca | 258.23 Bn | 231.79 Bn | 12.86 Bn | 9.54% |
| 6 | Amgen | 224.14 Bn | 179.54 Bn | 7.24 Bn | 16.66% |
| 7 | Gilead Sciences | 187.30 Bn | 161.42 Bn | 6.22 Bn | -5.97% |
| 8 | Pfizer | 163.47 Bn | 110.41 Bn | 10.94 Bn | 11.86% |
| 9 | Vertex Pharmaceuticals | 133.31 Bn | 105.31 Bn | 2.84 Bn | 20.76% |
| 10 | MBX Biosciences | 2.57 Bn | 2.57 Bn | - | -28.03% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -28.03% |
| Mar 31, 2026 | -24.43% |
| Dec 31, 2025 | -26.00% |
| Sep 30, 2025 | -29.92% |
| Jun 30, 2025 | -38.14% |
| Mar 31, 2025 | -32.99% |
| Dec 31, 2024 | -25.79% |
API Access
MBX Biosciences Return on Capital Employed [ROCE] 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=return-on-capital-employed-%5Broce%5D&ticker=MBX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-capital-employed-[roce]", "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=return-on-capital-employed-%5Broce%5D&ticker=MBX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();