Gilead Sciences (GILD) Research & Development (2009 - 2026)
Gilead Sciences (GILD) recorded Research & Development of $1.61 billion in Q3 2026, up 19.5% from $1.35 billion a year earlier but down 8.8% from the prior quarter.
Gilead Sciences (GILD) Research & Development (2009 - 2026) Analysis & Trends
On a TTM basis, Gilead Sciences' Research & Development came in at $6.33 billion as of Sep 30, 2026, up 8.0% year-over-year; for FY2025, it came in at $5.8 billion, down 1.8% from FY2024.
- Annual Research & Development has a five-year compound annual growth rate of 3.3% (FY2020 to FY2025).
- Across earlier years, Research & Development came in at $5.91 billion in FY2024 (+3.3%), $5.72 billion in FY2023 (+14.9%), $4.98 billion in FY2022 (+8.2%) and $4.6 billion in FY2021 (-6.6%).
- Quarterly Research & Development has ranged from $1.1 billion in Q2 2022 to $1.76 billion in Q2 2026 over the past five years.
- On a year-over-year basis, Research & Development rose in four of the last eight quarters, with growth averaging 6.0%.
- Peak year-over-year performance for Research & Development in the last five years was growth of 27.7% in Q2 2023, against a decline of 9.3% in Q1 2025 at the low end.
- Per Business Quant, the preceding three quarters came in at $1.76 billion (Q2 2026), $1.37 billion (Q1 2026) and $1.58 billion (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | R&D (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,348.13 Bn | 1,321.74 Bn | 20.46 Bn | 4.25 Bn |
| 2 | Johnson & Johnson | 675.90 Bn | 595.76 Bn | 17.30 Bn | 4.65 Bn |
| 3 | AbbVie | 519.45 Bn | 487.50 Bn | 13.12 Bn | 2.57 Bn |
| 4 | Merck | 364.95 Bn | 327.95 Bn | 13.19 Bn | 4.54 Bn |
| 5 | Novartis Ag | 311.58 Bn | 285.16 Bn | - | - |
| 6 | Astrazeneca | 289.34 Bn | 262.94 Bn | 13.26 Bn | 3.89 Bn |
| 7 | Amgen | 251.64 Bn | 203.30 Bn | 7.58 Bn | 2.11 Bn |
| 8 | Gilead Sciences | 212.05 Bn | 187.07 Bn | 6.73 Bn | 1.61 Bn |
| 9 | Pfizer | 167.35 Bn | 115.00 Bn | 12.56 Bn | 3.02 Bn |
| 10 | Vertex Pharmaceuticals | 138.90 Bn | 106.64 Bn | 2.91 Bn | 1.32 Bn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 1.61 Bn |
| Jun 30, 2026 | 1.76 Bn |
| Mar 31, 2026 | 1.37 Bn |
| Dec 31, 2025 | 1.58 Bn |
| Sep 30, 2025 | 1.35 Bn |
| Jun 30, 2025 | 1.49 Bn |
| Mar 31, 2025 | 1.38 Bn |
| Dec 31, 2024 | 1.64 Bn |
| Sep 30, 2024 | 1.40 Bn |
| Jun 30, 2024 | 1.35 Bn |
| Mar 31, 2024 | 1.52 Bn |
| Dec 31, 2023 | 1.41 Bn |
| Sep 30, 2023 | 1.46 Bn |
| Jun 30, 2023 | 1.41 Bn |
| Mar 31, 2023 | 1.45 Bn |
| Dec 31, 2022 | 1.55 Bn |
| Sep 30, 2022 | 1.15 Bn |
| Jun 30, 2022 | 1.10 Bn |
| Mar 31, 2022 | 1.18 Bn |
| Dec 31, 2021 | 1.36 Bn |
Gilead Sciences Research & Development 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=research-and-development&ticker=GILD&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "research-and-development", "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=research-and-development&ticker=GILD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();