BioAge Labs (BIOA) Net Income (2023 - 2026)
BioAge Labs (BIOA) posted Net Income of -$25.9 million for Q2 2026, compared with -$21.55 million a year earlier.
BioAge Labs (BIOA) Net Income (2023 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Net Income at BioAge Labs was -$93.89 million; for FY2025, it was -$80.39 million.
- In prior years, BioAge Labs' Net Income was -$70.93 million in FY2024 and -$53.76 million in FY2023.
- The Q2 2026 figure stands as the lowest quarterly Net Income in data going back to Q3 2023.
- According to Business Quant data, Net Income for the three prior quarters was -$22.15 million (Q1 2026), -$25.72 million (Q4 2025) and -$20.13 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Net Income (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 638.12 Bn | 556.64 Bn | 17.26 Bn | 5.53 Bn |
| 2 | AbbVie | 462.60 Bn | 435.75 Bn | 12.70 Bn | 3.62 Bn |
| 3 | Merck | 358.70 Bn | 313.13 Bn | 12.21 Bn | -1.34 Bn |
| 4 | Novartis Ag | 272.16 Bn | 228.03 Bn | 11.24 Bn | 3.26 Bn |
| 5 | Astrazeneca | 250.36 Bn | 223.92 Bn | 12.86 Bn | 2.51 Bn |
| 6 | Amgen | 227.87 Bn | 183.27 Bn | 7.24 Bn | 2.38 Bn |
| 7 | Gilead Sciences | 184.97 Bn | 159.08 Bn | 6.22 Bn | -10.50 Bn |
| 8 | Pfizer | 162.61 Bn | 109.56 Bn | 10.94 Bn | -237.00 Mn |
| 9 | Vertex Pharmaceuticals | 132.45 Bn | 104.46 Bn | 2.84 Bn | 1.10 Bn |
| 10 | BioAge Labs | 324.56 Mn | 324.56 Mn | -14.23 Mn | -25.90 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -25.90 Mn |
| Mar 31, 2026 | -22.15 Mn |
| Dec 31, 2025 | -25.72 Mn |
| Sep 30, 2025 | -20.13 Mn |
| Jun 30, 2025 | -21.55 Mn |
| Mar 31, 2025 | -12.99 Mn |
| Dec 31, 2024 | -21.59 Mn |
| Sep 30, 2024 | -23.10 Mn |
| Jun 30, 2024 | -13.51 Mn |
| Mar 31, 2024 | -12.73 Mn |
| Dec 31, 2023 | -15.78 Mn |
| Sep 30, 2023 | -11.79 Mn |
BioAge Labs Net Income 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=net-income&ticker=BIOA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "net-income", "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=net-income&ticker=BIOA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();