BioAge Labs (BIOA) Other Accumulated Expenses (2023 - 2026)
BioAge Labs (BIOA) reported Other Accumulated Expenses of $388,000 for Q2 2026, down 57.4% from $911,000 a year earlier and down 45.7% from the prior quarter.
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Analysis
BioAge Labs (BIOA) Other Accumulated Expenses (2023 - 2026) Analysis & Trends
At the end of FY2025, BioAge Labs posted Other Accumulated Expenses of $525,000, up 25.9% from FY2024.
- By year, Other Accumulated Expenses came in at $417,000 in FY2024 (-70.0%) and $1.39 million in FY2023.
- The Q2 2026 figure ranks as the lowest quarterly Other Accumulated Expenses in data going back to Q4 2023.
- Year over year, Other Accumulated Expenses gained in two of the last five quarters, with an average decline of 24.5%.
- Per Business Quant data, the three quarters before Q2 2026 came in at $714,000 (Q1 2026), $525,000 (Q4 2025) and $890,000 (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Eli Lilly | 1,076.25 Bn | 1,044.84 Bn | 19.71 Bn |
| 2 | Johnson & Johnson | 617.18 Bn | 535.70 Bn | 17.26 Bn |
| 3 | AbbVie | 464.58 Bn | 437.73 Bn | 12.70 Bn |
| 4 | Merck | 356.04 Bn | 310.47 Bn | 12.21 Bn |
| 5 | Novartis Ag | 269.07 Bn | 224.94 Bn | 11.24 Bn |
| 6 | Astrazeneca | 243.21 Bn | 216.77 Bn | 12.86 Bn |
| 7 | Amgen | 217.88 Bn | 173.28 Bn | 7.24 Bn |
| 8 | Gilead Sciences | 179.62 Bn | 153.74 Bn | 6.22 Bn |
| 9 | Pfizer | 158.45 Bn | 105.40 Bn | 10.94 Bn |
| 10 | BioAge Labs | 302.59 Mn | 302.59 Mn | -14.23 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 388,000.00 |
| Mar 31, 2026 | 714,000.00 |
| Dec 31, 2025 | 525,000.00 |
| Sep 30, 2025 | 890,000.00 |
| Jun 30, 2025 | 911,000.00 |
| Mar 31, 2025 | 558,000.00 |
| Dec 31, 2024 | 417,000.00 |
| Sep 30, 2024 | 1.74 Mn |
| Dec 31, 2023 | 1.39 Mn |
API Access
BioAge Labs Other 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=other-accumulated-expenses&ticker=BIOA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-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=other-accumulated-expenses&ticker=BIOA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();