BioAge Labs (BIOA) Net Cash Flow (2023 - 2026)
BioAge Labs (BIOA) recorded Net Cash Flow of -$167.81 million in Q2 2026, compared with -$37.11 million a year earlier.
Powered by 
Analysis
BioAge Labs (BIOA) Net Cash Flow (2023 - 2026) Analysis & Trends
On a TTM basis, BioAge Labs' Net Cash Flow came in at -$146.31 million as of Jun 30, 2026; for FY2025, it was -$165.37 million.
- Across earlier years, Net Cash Flow came in at $329.31 million in FY2024 and -$2.69 million in FY2023.
- The Q2 2026 figure is the lowest quarterly Net Cash Flow in data going back to Q4 2023.
- Per Business Quant, the preceding three quarters came in at $52.92 million (Q1 2026), -$26.67 million (Q4 2025) and -$4.75 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | NCF (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 645.01 Bn | 563.54 Bn | 17.26 Bn | -1.27 Bn |
| 2 | AbbVie | 465.23 Bn | 438.39 Bn | 12.70 Bn | -2.82 Bn |
| 3 | Merck | 368.40 Bn | 322.83 Bn | 12.21 Bn | 1.53 Bn |
| 4 | Novartis Ag | 278.02 Bn | 233.89 Bn | 11.24 Bn | 757.00 Mn |
| 5 | Astrazeneca | 254.57 Bn | 228.13 Bn | 12.86 Bn | 1.62 Bn |
| 6 | Amgen | 229.02 Bn | 184.42 Bn | 7.24 Bn | 1.95 Bn |
| 7 | Gilead Sciences | 187.74 Bn | 161.85 Bn | 6.22 Bn | -4.43 Bn |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn | -722.00 Mn |
| 9 | Vertex Pharmaceuticals | 133.45 Bn | 105.45 Bn | 2.84 Bn | 652.90 Mn |
| 10 | BioAge Labs | 326.85 Mn | 326.85 Mn | -14.23 Mn | -167.81 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -167.81 Mn |
| Mar 31, 2026 | 52.92 Mn |
| Dec 31, 2025 | -26.67 Mn |
| Sep 30, 2025 | -4.75 Mn |
| Jun 30, 2025 | -37.11 Mn |
| Mar 31, 2025 | -96.85 Mn |
| Dec 31, 2024 | 19.74 Mn |
| Sep 30, 2024 | 175.45 Mn |
| Jun 30, 2024 | -18.20 Mn |
| Mar 31, 2024 | 152.33 Mn |
| Dec 31, 2023 | -9.51 Mn |
API Access
BioAge Labs Net Cash Flow 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=net-cash-flow&ticker=BIOA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "net-cash-flow", "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=net-cash-flow&ticker=BIOA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();