Gilead Sciences (GILD) Cost of Revenue (2009 - 2026)
Gilead Sciences (GILD) posted Cost of Revenue of $1.57 billion for Q3 2026, up 0.1% from $1.57 billion a year earlier but down 0.5% from the prior quarter.
Gilead Sciences (GILD) Cost of Revenue (2009 - 2026) Analysis & Trends
For the trailing twelve months through Sep 30, 2026, Cost of Revenue at Gilead Sciences was $6.22 billion, up 0.5% year-over-year; for FY2025, it came in at $6.23 billion, down 0.3% from FY2024.
- Annual Cost of Revenue shows a five-year compound annual growth rate of 6.4% (FY2020 to FY2025).
- In prior years, Gilead Sciences' Cost of Revenue was $6.25 billion in FY2024 (-3.8%), $6.5 billion in FY2023 (+14.9%), $5.66 billion in FY2022 (-14.3%) and $6.6 billion in FY2021 (+44.4%).
- Quarterly Cost of Revenue has run from a low of $1.4 billion in Q3 2022 to a high of $2.63 billion in Q4 2021 over five years.
- On a year-over-year basis, Cost of Revenue increased in three of the last eight quarters, with an average decline of 3.3%.
- The strongest year-over-year quarter for Cost of Revenue in the past five years was Q4 2021, with growth of 87.9%; the weakest was Q4 2022, with a decline of 46.9%.
- According to Business Quant data, Cost of Revenue for the three prior quarters was $1.58 billion (Q2 2026), $1.45 billion (Q1 2026) and $1.62 billion (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cost of Rev (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,224.11 Bn | 1,197.72 Bn | 20.46 Bn | 3.93 Bn |
| 2 | Johnson & Johnson | 665.34 Bn | 585.20 Bn | 17.30 Bn | 8.10 Bn |
| 3 | AbbVie | 515.72 Bn | 483.73 Bn | 13.12 Bn | 4.29 Bn |
| 4 | Merck | 362.64 Bn | 325.58 Bn | 13.19 Bn | 4.89 Bn |
| 5 | Novartis Ag | 315.51 Bn | 288.75 Bn | - | - |
| 6 | Astrazeneca | 289.26 Bn | 263.15 Bn | 13.26 Bn | 2.95 Bn |
| 7 | Amgen | 249.20 Bn | 200.85 Bn | 7.58 Bn | 2.79 Bn |
| 8 | Gilead Sciences | 207.48 Bn | 182.59 Bn | 6.73 Bn | 1.57 Bn |
| 9 | Pfizer | 167.49 Bn | 114.85 Bn | 12.56 Bn | 4.03 Bn |
| 10 | Vertex Pharmaceuticals | 138.73 Bn | 110.72 Bn | 2.91 Bn | 526.10 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 1.57 Bn |
| Jun 30, 2026 | 1.58 Bn |
| Mar 31, 2026 | 1.45 Bn |
| Dec 31, 2025 | 1.62 Bn |
| Sep 30, 2025 | 1.57 Bn |
| Jun 30, 2025 | 1.50 Bn |
| Mar 31, 2025 | 1.54 Bn |
| Dec 31, 2024 | 1.58 Bn |
| Sep 30, 2024 | 1.57 Bn |
| Jun 30, 2024 | 1.54 Bn |
| Mar 31, 2024 | 1.55 Bn |
| Dec 31, 2023 | 2.09 Bn |
| Sep 30, 2023 | 1.57 Bn |
| Jun 30, 2023 | 1.44 Bn |
| Mar 31, 2023 | 1.40 Bn |
| Dec 31, 2022 | 1.40 Bn |
| Sep 30, 2022 | 1.40 Bn |
| Jun 30, 2022 | 1.44 Bn |
| Mar 31, 2022 | 1.42 Bn |
| Dec 31, 2021 | 2.63 Bn |
Gilead Sciences Cost of Revenue 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=cost-of-revenue&ticker=GILD&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cost-of-revenue", "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=cost-of-revenue&ticker=GILD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();