BioAge Labs (BIOA) Short term Debt (2023 - 2026)
BioAge Labs (BIOA) recorded Short term Debt of $1.16 million in Q1 2026, down 80.7% from $6 million a year earlier and down 56.2% from the prior quarter.
BioAge Labs (BIOA) Short term Debt (2023 - 2026) Analysis & Trends
At the end of FY2025, BioAge Labs reported Short term Debt of $2.65 million, down 55.9% from FY2024.
- Across earlier years, Short term Debt came in at $6 million in FY2024 (unchanged) and $6 million in FY2023.
- The Q1 2026 figure is the lowest quarterly Short term Debt in data going back to Q4 2023.
- On a year-over-year basis, Short term Debt has declined for three consecutive quarters, with an average decline of 41.9% over the last four quarters.
- Per Business Quant, the preceding three quarters came in at $2.65 million (Q4 2025), $4.13 million (Q3 2025) and $5.6 million (Q2 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Johnson & Johnson | 645.01 Bn | 563.54 Bn | 17.26 Bn |
| 2 | AbbVie | 465.23 Bn | 438.39 Bn | 12.70 Bn |
| 3 | Merck | 368.40 Bn | 322.83 Bn | 12.21 Bn |
| 4 | Novartis Ag | 278.02 Bn | 233.89 Bn | 11.24 Bn |
| 5 | Astrazeneca | 254.57 Bn | 228.13 Bn | 12.86 Bn |
| 6 | Amgen | 229.02 Bn | 184.42 Bn | 7.24 Bn |
| 7 | Gilead Sciences | 187.74 Bn | 161.85 Bn | 6.22 Bn |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn |
| 9 | Vertex Pharmaceuticals | 133.45 Bn | 105.45 Bn | 2.84 Bn |
| 10 | BioAge Labs | 326.85 Mn | 326.85 Mn | -14.23 Mn |
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 1.16 Mn |
| Dec 31, 2025 | 2.65 Mn |
| Sep 30, 2025 | 4.13 Mn |
| Jun 30, 2025 | 5.60 Mn |
| Mar 31, 2025 | 6.00 Mn |
| Dec 31, 2024 | 6.00 Mn |
| Sep 30, 2024 | 6.00 Mn |
| Dec 31, 2023 | 6.00 Mn |
BioAge Labs Short term Debt 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=short-term-debt&ticker=BIOA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "short-term-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=short-term-debt&ticker=BIOA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();