BioAge Labs (BIOA) Payables (2023 - 2026)
BioAge Labs' Payables was $5.65 million in Q2 2026, up 325.4% from $1.33 million a year earlier and up 84.4% from the prior quarter.
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Analysis
BioAge Labs (BIOA) Payables (2023 - 2026) Analysis & Trends
At the end of FY2025, Payables at BioAge Labs came in at $2.67 million, up 34.0% from FY2024.
- In earlier years, Payables was $2 million in FY2024 (+7.0%) and $1.87 million in FY2023.
- The Q2 2026 figure marks the highest quarterly Payables in data going back to Q4 2023.
- Compared with a year earlier, Payables was higher in four of the last five quarters, with growth averaging 96.5%.
- Per Business Quant data, BIOA's Payables in the three quarters before Q2 2026 was $3.07 million (Q1 2026), $2.67 million (Q4 2025) and $5.02 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Payables (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,137.42 Bn | 1,106.00 Bn | 19.71 Bn | 6.11 Bn |
| 2 | Johnson & Johnson | 617.98 Bn | 536.51 Bn | 17.26 Bn | 20.92 Bn |
| 3 | AbbVie | 502.80 Bn | 475.92 Bn | 12.70 Bn | 33.30 Bn |
| 4 | Merck | 368.67 Bn | 323.05 Bn | 12.21 Bn | 5.96 Bn |
| 5 | Novartis Ag | 298.36 Bn | 262.35 Bn | 11.24 Bn | 4.26 Bn |
| 6 | Astrazeneca | 261.17 Bn | 234.85 Bn | 12.86 Bn | 22.89 Bn |
| 7 | Amgen | 237.18 Bn | 192.58 Bn | 7.24 Bn | 2.87 Bn |
| 8 | Gilead Sciences | 191.11 Bn | 165.31 Bn | 6.22 Bn | 674.00 Mn |
| 9 | Pfizer | 169.83 Bn | 116.48 Bn | 10.94 Bn | 7.03 Bn |
| 10 | BioAge Labs | 246.17 Mn | -1.55 Bn | -14.23 Mn | 5.65 Mn |
Historic Data
Download Data
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 |
API Access
BioAge Labs 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=payables&ticker=BIOA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "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=payables&ticker=BIOA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();