Gilead Sciences (GILD) Cost of Revenue (2009 - 2026)
Gilead Sciences (GILD) posted Cost of Revenue of $1.58 billion for Q2 2026, up 5.2% from $1.5 billion a year earlier and up 9.3% from the prior quarter.
Gilead Sciences (GILD) Cost of Revenue (2009 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Cost of Revenue at Gilead Sciences was $6.22 billion, up 0.3% 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 $1.22 billion in Q3 2021 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 3.2%.
- 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 $1.45 billion (Q1 2026), $1.62 billion (Q4 2025) and $1.57 billion (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cost of Rev (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,109.58 Bn | 1,078.16 Bn | 19.71 Bn | 3.27 Bn |
| 2 | Johnson & Johnson | 630.16 Bn | 548.69 Bn | 17.26 Bn | 8.05 Bn |
| 3 | AbbVie | 488.57 Bn | 461.73 Bn | 12.70 Bn | 4.29 Bn |
| 4 | Merck | 359.15 Bn | 313.58 Bn | 12.21 Bn | 4.40 Bn |
| 5 | Novartis Ag | 274.32 Bn | 238.71 Bn | 11.24 Bn | 3.71 Bn |
| 6 | Astrazeneca | 246.73 Bn | 220.50 Bn | 12.86 Bn | 2.52 Bn |
| 7 | Amgen | 224.28 Bn | 179.68 Bn | 7.24 Bn | 2.81 Bn |
| 8 | Gilead Sciences | 187.60 Bn | 161.71 Bn | 6.22 Bn | 1.58 Bn |
| 9 | Pfizer | 161.13 Bn | 108.08 Bn | 10.94 Bn | 4.09 Bn |
| 10 | Vertex Pharmaceuticals | 129.23 Bn | 101.23 Bn | 2.84 Bn | 489.20 Mn |
Historic Data
| Date | Value |
|---|---|
| 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 |
| Sep 30, 2021 | 1.22 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();