BioAge Labs (BIOA) Debt Ratio (2023 - 2026)
BioAge Labs' (BIOA) Debt Ratio was 0.00 for Q1 2026, down 85.8% from 0.02 a year earlier and down 67.5% from the prior quarter.
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Analysis
BioAge Labs (BIOA) Debt Ratio (2023 - 2026) Analysis & Trends
For FY2025, Debt Ratio at BioAge Labs was 0.01, down 62.2% from FY2024.
- By year, Debt Ratio came in at 0.02 in FY2024 (-95.7%) and 0.55 in FY2023.
- The Q1 2026 figure ranks as the lowest quarterly Debt Ratio in data going back to Q4 2023.
- Year over year, Debt Ratio has now declined in each of the last three quarters, with an average decline of 74.4% over the last four quarters.
- Per Business Quant data, the three quarters before Q1 2026 came in at 0.01 (Q4 2025), 0.01 (Q3 2025) and 0.02 (Q2 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Debt Ratio (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,136.97 Bn | 1,105.55 Bn | 19.71 Bn | 0.39 |
| 2 | Johnson & Johnson | 619.72 Bn | 538.25 Bn | 17.26 Bn | 0.24 |
| 3 | AbbVie | 503.40 Bn | 476.52 Bn | 12.70 Bn | 0.52 |
| 4 | Merck | 370.15 Bn | 324.53 Bn | 12.21 Bn | 0.42 |
| 5 | Novartis Ag | 298.64 Bn | 262.63 Bn | 11.24 Bn | 0.08 |
| 6 | Astrazeneca | 261.07 Bn | 234.76 Bn | 12.86 Bn | 0.28 |
| 7 | Amgen | 237.00 Bn | 192.40 Bn | 7.24 Bn | 0.60 |
| 8 | Gilead Sciences | 191.24 Bn | 165.43 Bn | 6.22 Bn | 0.53 |
| 9 | Pfizer | 170.31 Bn | 116.96 Bn | 10.94 Bn | 0.31 |
| 10 | BioAge Labs | 245.72 Mn | -1.55 Bn | -14.23 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 0.00 |
| Dec 31, 2025 | 0.01 |
| Sep 30, 2025 | 0.01 |
| Jun 30, 2025 | 0.02 |
| Mar 31, 2025 | 0.02 |
| Dec 31, 2024 | 0.02 |
| Sep 30, 2024 | 0.03 |
| Dec 31, 2023 | 0.55 |
API Access
BioAge Labs Debt Ratio 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=debt-ratio&ticker=BIOA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "debt-ratio", "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=debt-ratio&ticker=BIOA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();