Gilead Sciences (GILD) Capital Expenditures (2009 - 2026)
Gilead Sciences' Capital Expenditures was $140 million in Q2 2026, up 30.8% from $107 million a year earlier and up 19.7% from the prior quarter.
Gilead Sciences (GILD) Capital Expenditures (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, Gilead Sciences' Capital Expenditures was $609 million through Jun 30, 2026, up 22.0% year-over-year; for FY2025, it was $563 million, up 7.6% from FY2024.
- Capital Expenditures shows a five-year compound annual growth rate of -2.8% (FY2020 to FY2025).
- In earlier years, Capital Expenditures was $523 million in FY2024 (-10.6%), $585 million in FY2023 (-19.6%), $728 million in FY2022 (+25.7%) and $579 million in FY2021 (-10.9%).
- Quarterly Capital Expenditures has moved between $104 million (Q1 2025) and $247 million (Q1 2022) over five years.
- Compared with a year earlier, Capital Expenditures has increased for four straight quarters, with growth averaging 6.5% over the last eight quarters.
- The best year-over-year quarter for Capital Expenditures over five years was Q1 2022 (growth of 49.7%); the worst was Q1 2023 (a decline of 55.9%).
- Per Business Quant data, GILD's Capital Expenditures in the three quarters before Q2 2026 was $117 million (Q1 2026), $205 million (Q4 2025) and $147 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Capex (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,076.25 Bn | 1,044.84 Bn | 19.71 Bn | 2.93 Bn |
| 2 | Johnson & Johnson | 617.18 Bn | 535.70 Bn | 17.26 Bn | 1.32 Bn |
| 3 | AbbVie | 464.58 Bn | 437.73 Bn | 12.70 Bn | 322.00 Mn |
| 4 | Merck | 356.04 Bn | 310.47 Bn | 12.21 Bn | 893.00 Mn |
| 5 | Novartis Ag | 269.07 Bn | 224.94 Bn | 11.24 Bn | -321.00 Mn |
| 6 | Astrazeneca | 243.21 Bn | 216.77 Bn | 12.86 Bn | -763.00 Mn |
| 7 | Amgen | 217.88 Bn | 173.28 Bn | 7.24 Bn | 513.00 Mn |
| 8 | Gilead Sciences | 179.62 Bn | 153.74 Bn | 6.22 Bn | 140.00 Mn |
| 9 | Pfizer | 158.45 Bn | 105.40 Bn | 10.94 Bn | 533.00 Mn |
| 10 | Vertex Pharmaceuticals | 127.87 Bn | 99.88 Bn | 2.84 Bn | 112.20 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 140.00 Mn |
| Mar 31, 2026 | 117.00 Mn |
| Dec 31, 2025 | 205.00 Mn |
| Sep 30, 2025 | 147.00 Mn |
| Jun 30, 2025 | 107.00 Mn |
| Mar 31, 2025 | 104.00 Mn |
| Dec 31, 2024 | 147.00 Mn |
| Sep 30, 2024 | 141.00 Mn |
| Jun 30, 2024 | 130.00 Mn |
| Mar 31, 2024 | 105.00 Mn |
| Dec 31, 2023 | 215.00 Mn |
| Sep 30, 2023 | 122.00 Mn |
| Jun 30, 2023 | 139.00 Mn |
| Mar 31, 2023 | 109.00 Mn |
| Dec 31, 2022 | 181.00 Mn |
| Sep 30, 2022 | 157.00 Mn |
| Jun 30, 2022 | 143.00 Mn |
| Mar 31, 2022 | 247.00 Mn |
| Dec 31, 2021 | 156.00 Mn |
| Sep 30, 2021 | 139.00 Mn |
Gilead Sciences 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=GILD&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "capital-expenditures", "ticker": "GILD", "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=GILD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();