BioAge Labs (BIOA) Accounts Payables (2023 - 2026)
BioAge Labs (BIOA) reported Accounts Payables of $5.65 million for Q2 2026, up 325.4% from $1.33 million a year earlier and up 84.4% from the prior quarter.
BioAge Labs (BIOA) Accounts Payables (2023 - 2026) Analysis & Trends
At the end of FY2025, BioAge Labs posted Accounts Payables of $2.67 million, up 34.0% from FY2024.
- By year, Accounts Payables came in at $2 million in FY2024 (+7.0%) and $1.87 million in FY2023.
- The Q2 2026 figure ranks as the highest quarterly Accounts Payables in data going back to Q4 2023.
- Year over year, Accounts Payables gained in four of the last five quarters, with growth averaging 96.5%.
- Per Business Quant data, the three quarters before Q2 2026 came in at $3.07 million (Q1 2026), $2.67 million (Q4 2025) and $5.02 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Accounts Payables (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,165.98 Bn | 1,134.57 Bn | 19.71 Bn | 6.11 Bn |
| 2 | Johnson & Johnson | 643.66 Bn | 563.53 Bn | 17.30 Bn | 9.32 Bn |
| 3 | AbbVie | 500.95 Bn | 474.06 Bn | 12.70 Bn | 33.30 Bn |
| 4 | Merck | 358.08 Bn | 312.45 Bn | 12.21 Bn | 3.83 Bn |
| 5 | Novartis Ag | 301.84 Bn | 265.83 Bn | 11.24 Bn | 4.26 Bn |
| 6 | Astrazeneca | 267.25 Bn | 240.94 Bn | 12.86 Bn | 22.89 Bn |
| 7 | Amgen | 241.42 Bn | 196.81 Bn | 7.24 Bn | 2.87 Bn |
| 8 | Gilead Sciences | 193.09 Bn | 167.28 Bn | 6.22 Bn | 674.00 Mn |
| 9 | Pfizer | 171.63 Bn | 118.27 Bn | 10.94 Bn | 4.58 Bn |
| 10 | BioAge Labs | 245.72 Mn | -1.55 Bn | -14.23 Mn | 5.65 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 5.65 Mn |
| Mar 31, 2026 | 3.07 Mn |
| Dec 31, 2025 | 2.67 Mn |
| Sep 30, 2025 | 5.02 Mn |
| Jun 30, 2025 | 1.33 Mn |
| Mar 31, 2025 | 3.99 Mn |
| Dec 31, 2024 | 2.00 Mn |
| Sep 30, 2024 | 2.10 Mn |
| Dec 31, 2023 | 1.87 Mn |
BioAge Labs Accounts Payables 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=accounts-payables&ticker=BIOA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accounts-payables", "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=accounts-payables&ticker=BIOA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();