BridgeBio Oncology Therapeutics (BBOT) Capital Expenditures (2024 - 2026)
BridgeBio Oncology Therapeutics' Capital Expenditures was $47,000 in Q2 2026, down 79.7% from $231,000 a year earlier but up 95.8% from the prior quarter.
BridgeBio Oncology Therapeutics (BBOT) Capital Expenditures (2024 - 2026) Analysis & Trends
On a trailing twelve-month basis, BridgeBio Oncology Therapeutics' Capital Expenditures was $284,000 through Jun 30, 2026; for FY2025, it was $606,000.
- In earlier years, Capital Expenditures was $49,000 in FY2024.
- Quarterly Capital Expenditures has moved between $10,000 (Q4 2024) and $231,000 (Q2 2025) over five years.
- Per Business Quant data, BBOT's Capital Expenditures in the three quarters before Q2 2026 was $24,000 (Q1 2026), $73,000 (Q4 2025) and $140,000 (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Capex (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 655.56 Bn | 574.09 Bn | 17.26 Bn | 1.32 Bn |
| 2 | AbbVie | 470.94 Bn | 444.10 Bn | 12.70 Bn | 322.00 Mn |
| 3 | Merck | 367.14 Bn | 321.57 Bn | 12.21 Bn | 893.00 Mn |
| 4 | Novartis Ag | 280.33 Bn | 236.20 Bn | 11.24 Bn | -321.00 Mn |
| 5 | Astrazeneca | 257.78 Bn | 231.34 Bn | 12.86 Bn | -763.00 Mn |
| 6 | Amgen | 226.04 Bn | 181.44 Bn | 7.24 Bn | 513.00 Mn |
| 7 | Gilead Sciences | 188.89 Bn | 163.01 Bn | 6.22 Bn | 140.00 Mn |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn | 533.00 Mn |
| 9 | Vertex Pharmaceuticals | 133.68 Bn | 105.69 Bn | 2.84 Bn | 112.20 Mn |
| 10 | BridgeBio Oncology Therapeutics | 305.24 Mn | -1.07 Bn | - | 47,000.00 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 47,000.00 |
| Mar 31, 2026 | 24,000.00 |
| Dec 31, 2025 | 73,000.00 |
| Sep 30, 2025 | 140,000.00 |
| Jun 30, 2025 | 231,000.00 |
| Mar 31, 2025 | 162,000.00 |
| Dec 31, 2024 | 10,000.00 |
BridgeBio Oncology Therapeutics Capital Expenditures 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=capital-expenditures&ticker=BBOT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "capital-expenditures", "ticker": "BBOT", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=capital-expenditures&ticker=BBOT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();