Bicara Therapeutics (BCAX) Capital Expenditures (2023 - 2026)
Bicara Therapeutics (BCAX) recorded Capital Expenditures of $60,000 in Q2 2026, unchanged from the prior quarter.
Bicara Therapeutics (BCAX) Capital Expenditures (2023 - 2026) Analysis & Trends
On a TTM basis, Bicara Therapeutics' Capital Expenditures came in at $400,000 as of Jun 30, 2026, up 733.3% year-over-year; for FY2025, it came in at $280,000, up 294.4% from FY2024.
- Across earlier years, Capital Expenditures came in at $71,000 in FY2024 (-87.9%) and $586,000 in FY2023.
- Quarterly Capital Expenditures has ranged from $4,000 in Q1 2024 to $436,000 in Q4 2023 over the past five years.
- Per Business Quant, the preceding three quarters came in at $60,000 (Q1 2026), $238,000 (Q4 2025) and $42,000 (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 | Bicara Therapeutics | 1.24 Bn | 1.24 Bn | - | 60,000.00 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 60,000.00 |
| Mar 31, 2026 | 60,000.00 |
| Dec 31, 2025 | 238,000.00 |
| Sep 30, 2025 | 42,000.00 |
| Dec 31, 2024 | 40,000.00 |
| Sep 30, 2024 | 8,000.00 |
| Jun 30, 2024 | 19,000.00 |
| Mar 31, 2024 | 4,000.00 |
| Dec 31, 2023 | 436,000.00 |
Bicara 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=BCAX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "capital-expenditures", "ticker": "BCAX", "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=BCAX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();