Gilead Sciences (GILD) Capital Expenditures (2009 - 2026)
Gilead Sciences' Capital Expenditures was $237 million in Q3 2026, up 61.2% from $147 million a year earlier and up 69.3% from the prior quarter.
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Analysis
Gilead Sciences (GILD) Capital Expenditures (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, Gilead Sciences' Capital Expenditures was $699 million through Sep 30, 2026, up 38.4% 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%).
- The Q3 2026 figure marks the highest quarterly Capital Expenditures since Q1 2022.
- Compared with a year earlier, Capital Expenditures has increased for five straight quarters, with growth averaging 12.3% over the last eight quarters.
- The best year-over-year quarter for Capital Expenditures over five years was Q3 2026 (growth of 61.2%); the worst was Q1 2023 (a decline of 55.9%).
- Per Business Quant data, GILD's Capital Expenditures in the three quarters before Q3 2026 was $140 million (Q2 2026), $117 million (Q1 2026) and $205 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Capex (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,359.75 Bn | 1,333.37 Bn | 20.46 Bn | 3.18 Bn |
| 2 | Johnson & Johnson | 688.76 Bn | 608.62 Bn | 17.30 Bn | 1.36 Bn |
| 3 | AbbVie | 521.69 Bn | 489.75 Bn | 13.12 Bn | 301.00 Mn |
| 4 | Merck | 364.31 Bn | 327.31 Bn | 13.19 Bn | 1.04 Bn |
| 5 | Novartis Ag | 306.35 Bn | 279.93 Bn | - | - |
| 6 | Astrazeneca | 285.96 Bn | 259.56 Bn | 13.26 Bn | -3.30 Bn |
| 7 | Amgen | 251.88 Bn | 203.53 Bn | 7.58 Bn | 587.00 Mn |
| 8 | Gilead Sciences | 208.59 Bn | 183.61 Bn | 6.73 Bn | 237.00 Mn |
| 9 | Pfizer | 164.73 Bn | 112.38 Bn | 12.56 Bn | 573.00 Mn |
| 10 | Vertex Pharmaceuticals | 136.55 Bn | 104.28 Bn | 2.91 Bn | 97.30 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 237.00 Mn |
| 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 |
API Access
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_KEYimport 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();