BioAge Labs (BIOA) EBIT (2023 - 2026)
BioAge Labs (BIOA) reported EBIT of -$29.33 million for Q2 2026, compared with -$24.77 million a year earlier.
Analysis
BioAge Labs (BIOA) EBIT (2023 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, BioAge Labs' EBIT came in at -$106.27 million; for FY2025, it was -$92.78 million.
- By year, EBIT came in at -$78.19 million in FY2024 and -$48.4 million in FY2023.
- The Q2 2026 figure ranks as the lowest quarterly EBIT in data going back to Q3 2023.
- Per Business Quant data, the three quarters before Q2 2026 came in at -$25.38 million (Q1 2026), -$28.42 million (Q4 2025) and -$23.14 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBIT (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,134.50 Bn | 1,103.09 Bn | 19.71 Bn | 11.75 Bn |
| 2 | Johnson & Johnson | 616.20 Bn | 534.73 Bn | 17.26 Bn | 7.14 Bn |
| 3 | AbbVie | 500.82 Bn | 473.93 Bn | 12.70 Bn | 6.43 Bn |
| 4 | Merck | 367.31 Bn | 321.69 Bn | 12.21 Bn | -584.00 Mn |
| 5 | Novartis Ag | 297.77 Bn | 261.76 Bn | 11.24 Bn | 4.75 Bn |
| 6 | Astrazeneca | 261.35 Bn | 235.04 Bn | 12.86 Bn | 3.16 Bn |
| 7 | Amgen | 235.40 Bn | 190.80 Bn | 7.24 Bn | 3.51 Bn |
| 8 | Gilead Sciences | 190.59 Bn | 164.79 Bn | 6.22 Bn | -10.39 Bn |
| 9 | Pfizer | 169.39 Bn | 116.04 Bn | 10.94 Bn | 4.27 Bn |
| 10 | BioAge Labs | 248.41 Mn | -1.55 Bn | -14.23 Mn | -29.33 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -29.33 Mn |
| Mar 31, 2026 | -25.38 Mn |
| Dec 31, 2025 | -28.42 Mn |
| Sep 30, 2025 | -23.14 Mn |
| Jun 30, 2025 | -24.77 Mn |
| Mar 31, 2025 | -16.45 Mn |
| Dec 31, 2024 | -25.36 Mn |
| Sep 30, 2024 | -24.75 Mn |
| Jun 30, 2024 | -15.27 Mn |
| Mar 31, 2024 | -12.81 Mn |
| Dec 31, 2023 | -13.60 Mn |
| Sep 30, 2023 | -9.89 Mn |
API Access
BioAge Labs EBIT 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=ebit&ticker=BIOA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebit", "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=ebit&ticker=BIOA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();