BioAge Labs (BIOA) Total Liabilities (2023 - 2026)
BioAge Labs' Total Liabilities was $22.02 million in Q2 2026, down 19.6% from $27.37 million a year earlier but up 18.8% from the prior quarter.
BioAge Labs (BIOA) Total Liabilities (2023 - 2026) Analysis & Trends
At the end of FY2025, Total Liabilities at BioAge Labs came in at $22.84 million, down 34.9% from FY2024.
- In earlier years, Total Liabilities was $35.11 million in FY2024 (-82.4%) and $199.32 million in FY2023.
- Quarterly Total Liabilities has moved between $18.53 million (Q1 2026) and $199.32 million (Q4 2023) over five years.
- Compared with a year earlier, Total Liabilities has declined for three straight quarters, with an average decline of 31.9% over the last five quarters.
- Per Business Quant data, BIOA's Total Liabilities in the three quarters before Q2 2026 was $18.53 million (Q1 2026), $22.84 million (Q4 2025) and $27.63 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,130.22 Bn | 1,098.81 Bn | 19.71 Bn | 108.40 Bn |
| 2 | Johnson & Johnson | 613.62 Bn | 532.15 Bn | 17.26 Bn | 116.09 Bn |
| 3 | AbbVie | 501.46 Bn | 474.57 Bn | 12.70 Bn | 141.05 Bn |
| 4 | Merck | 366.84 Bn | 321.22 Bn | 12.21 Bn | 87.82 Bn |
| 5 | Novartis Ag | 297.85 Bn | 261.84 Bn | 11.24 Bn | 80.09 Bn |
| 6 | Astrazeneca | 261.66 Bn | 235.34 Bn | 12.86 Bn | 65.46 Bn |
| 7 | Amgen | 235.39 Bn | 190.79 Bn | 7.24 Bn | 83.95 Bn |
| 8 | Gilead Sciences | 190.66 Bn | 164.86 Bn | 6.22 Bn | 37.53 Bn |
| 9 | Pfizer | 169.57 Bn | 116.22 Bn | 10.94 Bn | 115.64 Bn |
| 10 | BioAge Labs | 246.39 Mn | -1.55 Bn | -14.23 Mn | 22.02 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 22.02 Mn |
| Mar 31, 2026 | 18.53 Mn |
| Dec 31, 2025 | 22.84 Mn |
| Sep 30, 2025 | 27.63 Mn |
| Jun 30, 2025 | 27.37 Mn |
| Mar 31, 2025 | 30.67 Mn |
| Dec 31, 2024 | 35.11 Mn |
| Sep 30, 2024 | 23.63 Mn |
| Dec 31, 2023 | 199.32 Mn |
BioAge Labs Total Liabilities 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=total-liabilities&ticker=BIOA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=BIOA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();