BioAge Labs (BIOA) Return on Capital Employed [ROCE] (2024 - 2026)
BioAge Labs (BIOA) posted Return on Capital Employed [ROCE] of -28.11% for Q2 2026, up 1.34 percentage points from -29.45% a year earlier and up 2.67 percentage points from the prior quarter.
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Analysis
BioAge Labs (BIOA) Return on Capital Employed [ROCE] (2024 - 2026) Analysis & Trends
For FY2025, BioAge Labs' Return on Capital Employed [ROCE] came in at -30.28%, up 17.31 percentage points from FY2024.
- In prior years, BioAge Labs' Return on Capital Employed [ROCE] was -47.59% in FY2024.
- The Q2 2026 figure stands as the highest quarterly Return on Capital Employed [ROCE] since Q1 2025.
- According to Business Quant data, Return on Capital Employed [ROCE] for the three prior quarters was -30.78% (Q1 2026), -33.15% (Q4 2025) and -31.03% (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROCE (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,348.13 Bn | 1,321.74 Bn | 20.46 Bn | 35.41% |
| 2 | Johnson & Johnson | 675.90 Bn | 595.76 Bn | 17.30 Bn | 17.52% |
| 3 | AbbVie | 519.45 Bn | 487.50 Bn | 13.12 Bn | 21.60% |
| 4 | Merck | 364.95 Bn | 327.95 Bn | 13.19 Bn | 4.65% |
| 5 | Novartis Ag | 311.58 Bn | 285.16 Bn | - | - |
| 6 | Astrazeneca | 289.34 Bn | 262.94 Bn | 13.26 Bn | 9.91% |
| 7 | Amgen | 251.64 Bn | 203.30 Bn | 7.58 Bn | 17.37% |
| 8 | Gilead Sciences | 212.05 Bn | 187.07 Bn | 6.73 Bn | -6.15% |
| 9 | Pfizer | 167.35 Bn | 115.00 Bn | 12.56 Bn | 11.32% |
| 10 | BioAge Labs | 265.60 Mn | -1.75 Bn | -21.95 Mn | -33.18% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | -33.18% |
| Jun 30, 2026 | -28.11% |
| Mar 31, 2026 | -30.78% |
| Dec 31, 2025 | -33.15% |
| Sep 30, 2025 | -31.03% |
| Jun 30, 2025 | -29.45% |
| Mar 31, 2025 | -25.00% |
| Dec 31, 2024 | -24.43% |
API Access
BioAge Labs 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=BIOA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-capital-employed-[roce]", "ticker": "BIOA", "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=BIOA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();