BioAge Labs (BIOA) Net Long-Term Debt Issued (Repaid) (2024 - 2026)
BioAge Labs' Net Long-Term Debt Issued (Repaid) was -$500,000 in Q2 2026, compared with -$1.5 million a year earlier.
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Analysis
BioAge Labs (BIOA) Net Long-Term Debt Issued (Repaid) (2024 - 2026) Analysis & Trends
On a trailing twelve-month basis, BioAge Labs' Net Long-Term Debt Issued (Repaid) was -$5 million through Jun 30, 2026; for FY2025, it was -$6 million.
- In earlier years, Net Long-Term Debt Issued (Repaid) was -$6 million in FY2024 and $35 million in FY2023.
- The Q2 2026 figure marks the highest quarterly Net Long-Term Debt Issued (Repaid) in data going back to Q1 2024.
- Per Business Quant data, BIOA's Net Long-Term Debt Issued (Repaid) in the three quarters before Q2 2026 was -$1.5 million (Q1 2026), -$1.5 million (Q4 2025) and -$1.5 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Net LT Debt (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,348.13 Bn | 1,321.74 Bn | 20.46 Bn | - |
| 2 | Johnson & Johnson | 675.90 Bn | 595.76 Bn | 17.30 Bn | -1.00 Mn |
| 3 | AbbVie | 519.45 Bn | 487.50 Bn | 13.12 Bn | 9.98 Bn |
| 4 | Merck | 364.95 Bn | 327.95 Bn | 13.19 Bn | - |
| 5 | Novartis Ag | 311.58 Bn | 285.16 Bn | - | - |
| 6 | Astrazeneca | 289.34 Bn | 262.94 Bn | 13.26 Bn | 4.91 Bn |
| 7 | Amgen | 251.64 Bn | 203.30 Bn | 7.58 Bn | -3.05 Bn |
| 8 | Gilead Sciences | 212.05 Bn | 187.07 Bn | 6.73 Bn | -19.00 Mn |
| 9 | Pfizer | 167.35 Bn | 115.00 Bn | 12.56 Bn | - |
| 10 | BioAge Labs | 265.60 Mn | -1.75 Bn | -21.95 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -500,000.00 |
| Mar 31, 2026 | -1.50 Mn |
| Dec 31, 2025 | -1.50 Mn |
| Sep 30, 2025 | -1.50 Mn |
| Jun 30, 2025 | -1.50 Mn |
| Mar 31, 2025 | -1.50 Mn |
| Dec 31, 2024 | -1.50 Mn |
| Sep 30, 2024 | -1.50 Mn |
| Jun 30, 2024 | -1.50 Mn |
| Mar 31, 2024 | -1.50 Mn |
API Access
BioAge Labs Net Long-Term Debt Issued (Repaid) 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=non-current-debt&ticker=BIOA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-debt", "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=non-current-debt&ticker=BIOA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();