Jade Biosciences (JBIO) Capital Expenditures (2021 - 2025)
Jade Biosciences' Capital Expenditures was $3,000 in Q4 2025, down 94.7% from the prior quarter.
Analysis
Jade Biosciences (JBIO) Capital Expenditures (2021 - 2025) Analysis & Trends
For FY2025, Capital Expenditures at Jade Biosciences came in at $196,000.
- Capital Expenditures shows a four-year compound annual growth rate of 2.0% (FY2021 to FY2025).
- In earlier years, Capital Expenditures was $142,000 in FY2023 (-27.2%), $195,000 in FY2022 (+7.7%) and $181,000 in FY2021.
- The Q4 2025 figure marks the lowest quarterly Capital Expenditures in data going back to Q1 2021.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Capex (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 645.01 Bn | 563.54 Bn | 17.26 Bn | 1.32 Bn |
| 2 | AbbVie | 465.23 Bn | 438.39 Bn | 12.70 Bn | 322.00 Mn |
| 3 | Merck | 368.40 Bn | 322.83 Bn | 12.21 Bn | 893.00 Mn |
| 4 | Novartis Ag | 278.02 Bn | 233.89 Bn | 11.24 Bn | -321.00 Mn |
| 5 | Astrazeneca | 254.57 Bn | 228.13 Bn | 12.86 Bn | -763.00 Mn |
| 6 | Amgen | 229.02 Bn | 184.42 Bn | 7.24 Bn | 513.00 Mn |
| 7 | Gilead Sciences | 187.74 Bn | 161.85 Bn | 6.22 Bn | 140.00 Mn |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn | 533.00 Mn |
| 9 | Vertex Pharmaceuticals | 133.45 Bn | 105.45 Bn | 2.84 Bn | 112.20 Mn |
| 10 | Jade Biosciences | 901.23 Mn | 901.23 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 3,000.00 |
| Sep 30, 2025 | 57,000.00 |
| Dec 31, 2023 | 64,000.00 |
| Sep 30, 2023 | 32,000.00 |
| Jun 30, 2023 | 30,000.00 |
| Mar 31, 2023 | 16,000.00 |
| Dec 31, 2022 | 4,000.00 |
| Sep 30, 2022 | 33,000.00 |
| Jun 30, 2022 | 130,000.00 |
| Mar 31, 2022 | 28,000.00 |
| Dec 31, 2021 | 85,000.00 |
| Sep 30, 2021 | 56,000.00 |
| Mar 31, 2021 | 40,000.00 |
API Access
Jade Biosciences 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=JBIO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "capital-expenditures", "ticker": "JBIO", "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=JBIO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();