BioAge Labs (BIOA) Other Non-Current Liabilities (2023 - 2026)
BioAge Labs' Other Non-Current Liabilities came in at $678,000 for Q2 2026, up 527.8% from $108,000 a year earlier and up 42.1% from the prior quarter.
BioAge Labs (BIOA) Other Non-Current Liabilities (2023 - 2026) Analysis & Trends
At the end of FY2025, BioAge Labs' Other Non-Current Liabilities was $370,000, up 137.2% from FY2024.
- Going back by year, Other Non-Current Liabilities was $156,000 in FY2024 (-99.1%) and $18.18 million in FY2023.
- The Q2 2026 figure represents the highest quarterly Other Non-Current Liabilities since Q4 2023.
- Year-over-year, Other Non-Current Liabilities has increased for three consecutive quarters, with growth averaging 176.4% over the last five quarters.
- Business Quant data shows BIOA's Other Non-Current Liabilities at $477,000 (Q1 2026), $370,000 (Q4 2025) and $150,000 (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Johnson & Johnson | 638.12 Bn | 556.64 Bn | 17.26 Bn |
| 2 | AbbVie | 462.60 Bn | 435.75 Bn | 12.70 Bn |
| 3 | Merck | 358.70 Bn | 313.13 Bn | 12.21 Bn |
| 4 | Novartis Ag | 272.16 Bn | 228.03 Bn | 11.24 Bn |
| 5 | Astrazeneca | 250.36 Bn | 223.92 Bn | 12.86 Bn |
| 6 | Amgen | 227.87 Bn | 183.27 Bn | 7.24 Bn |
| 7 | Gilead Sciences | 184.97 Bn | 159.08 Bn | 6.22 Bn |
| 8 | Pfizer | 162.61 Bn | 109.56 Bn | 10.94 Bn |
| 9 | Vertex Pharmaceuticals | 132.45 Bn | 104.46 Bn | 2.84 Bn |
| 10 | BioAge Labs | 324.56 Mn | 324.56 Mn | -14.23 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 678,000.00 |
| Mar 31, 2026 | 477,000.00 |
| Dec 31, 2025 | 370,000.00 |
| Sep 30, 2025 | 150,000.00 |
| Jun 30, 2025 | 108,000.00 |
| Mar 31, 2025 | 97,000.00 |
| Dec 31, 2024 | 156,000.00 |
| Sep 30, 2024 | 613,000.00 |
| Dec 31, 2023 | 18.18 Mn |
BioAge Labs Other Non-Current 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=other-non-current-liabilities&ticker=BIOA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-non-current-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=other-non-current-liabilities&ticker=BIOA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();