BioAge Labs (BIOA) Accumulated Expenses (2023 - 2026)
BioAge Labs' Accumulated Expenses came in at $8.49 million for Q2 2026, up 11.9% from $7.58 million a year earlier and up 78.1% from the prior quarter.
Powered by 
Analysis
BioAge Labs (BIOA) Accumulated Expenses (2023 - 2026) Analysis & Trends
At the end of FY2025, BioAge Labs' Accumulated Expenses was $8.48 million, down 27.8% from FY2024.
- Going back by year, Accumulated Expenses was $11.75 million in FY2024 (+48.0%) and $7.94 million in FY2023.
- The Q2 2026 figure represents the highest quarterly Accumulated Expenses since Q4 2024.
- Year-over-year, Accumulated Expenses increased in two of the last five quarters, with an average decline of 0.4%.
- Business Quant data shows BIOA's Accumulated Expenses at $4.77 million (Q1 2026), $8.48 million (Q4 2025) and $7.26 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
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
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 8.49 Mn |
| Mar 31, 2026 | 4.77 Mn |
| Dec 31, 2025 | 8.48 Mn |
| Sep 30, 2025 | 7.26 Mn |
| Jun 30, 2025 | 7.58 Mn |
| Mar 31, 2025 | 4.87 Mn |
| Dec 31, 2024 | 11.75 Mn |
| Sep 30, 2024 | 10.71 Mn |
| Dec 31, 2023 | 7.94 Mn |
API Access
BioAge Labs Accumulated Expenses 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=accumulated-expenses&ticker=BIOA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "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=accumulated-expenses&ticker=BIOA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();