BioAge Labs (BIOA) Accumulated Depreciation (2023 - 2026)
BioAge Labs' Accumulated Depreciation came in at $613,000 for Q2 2026, up 32.7% from $462,000 a year earlier and up 12.9% from the prior quarter.
Analysis
BioAge Labs (BIOA) Accumulated Depreciation (2023 - 2026) Analysis & Trends
At the end of FY2025, BioAge Labs' Accumulated Depreciation was $482,000, up 29.9% from FY2024.
- Going back by year, Accumulated Depreciation was $371,000 in FY2024 (-11.5%) and $419,000 in FY2023.
- The Q2 2026 figure represents the highest quarterly Accumulated Depreciation in data going back to Q4 2023.
- Year-over-year, Accumulated Depreciation has increased for three consecutive quarters, with growth averaging 12.1% over the last five quarters.
- Business Quant data shows BIOA's Accumulated Depreciation at $543,000 (Q1 2026), $482,000 (Q4 2025) and $413,000 (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 | 613,000.00 |
| Mar 31, 2026 | 543,000.00 |
| Dec 31, 2025 | 482,000.00 |
| Sep 30, 2025 | 413,000.00 |
| Jun 30, 2025 | 462,000.00 |
| Mar 31, 2025 | 408,000.00 |
| Dec 31, 2024 | 371,000.00 |
| Sep 30, 2024 | 540,000.00 |
| Dec 31, 2023 | 419,000.00 |
API Access
BioAge Labs Accumulated Depreciation 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-depreciation&ticker=BIOA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-depreciation", "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-depreciation&ticker=BIOA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();