Gilead Sciences (GILD) Operating Expenses (2009 - 2026)
Gilead Sciences (GILD) posted Operating Expenses of $18.2 billion for Q2 2026, up 294.9% from $4.61 billion a year earlier and up 316.0% from the prior quarter.
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Analysis
Gilead Sciences (GILD) Operating Expenses (2009 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Operating Expenses at Gilead Sciences was $32.95 billion, up 58.3% year-over-year; for FY2025, it was $19.42 billion, down 28.3% from FY2024.
- Annual Operating Expenses shows a five-year compound annual growth rate of -1.2% (FY2020 to FY2025).
- In prior years, Gilead Sciences' Operating Expenses was $27.09 billion in FY2024 (+38.9%), $19.51 billion in FY2023 (-2.2%), $19.95 billion in FY2022 (+14.7%) and $17.39 billion in FY2021 (-15.7%).
- The Q2 2026 figure stands as the highest quarterly Operating Expenses in data going back to Q1 2009.
- On a year-over-year basis, Operating Expenses increased in four of the last eight quarters, with growth averaging 33.4%.
- The strongest year-over-year quarter for Operating Expenses in the past five years was Q2 2026, with growth of 294.9%; the weakest was Q1 2025, with a decline of 59.8%.
- According to Business Quant data, Operating Expenses for the three prior quarters was $4.37 billion (Q1 2026), $5.94 billion (Q4 2025) and $4.44 billion (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 645.01 Bn | 563.54 Bn | 17.26 Bn | 10.12 Bn |
| 2 | AbbVie | 465.23 Bn | 438.39 Bn | 12.70 Bn | 10.56 Bn |
| 3 | Merck | 368.40 Bn | 322.83 Bn | 12.21 Bn | 12.80 Bn |
| 4 | Novartis Ag | 278.02 Bn | 233.89 Bn | 11.24 Bn | -6.09 Bn |
| 5 | Astrazeneca | 254.57 Bn | 228.13 Bn | 12.86 Bn | -9.70 Bn |
| 6 | Amgen | 229.02 Bn | 184.42 Bn | 7.24 Bn | 6.54 Bn |
| 7 | Gilead Sciences | 187.74 Bn | 161.85 Bn | 6.22 Bn | 18.20 Bn |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn | 6.68 Bn |
| 9 | Vertex Pharmaceuticals | 133.45 Bn | 105.45 Bn | 2.84 Bn | 2.09 Bn |
| 10 | Bristol Myers Squibb | 128.45 Bn | 79.72 Bn | 9.25 Bn | 8.89 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 18.20 Bn |
| Mar 31, 2026 | 4.37 Bn |
| Dec 31, 2025 | 5.94 Bn |
| Sep 30, 2025 | 4.44 Bn |
| Jun 30, 2025 | 4.61 Bn |
| Mar 31, 2025 | 4.43 Bn |
| Dec 31, 2024 | 5.12 Bn |
| Sep 30, 2024 | 6.66 Bn |
| Jun 30, 2024 | 4.31 Bn |
| Mar 31, 2024 | 11.01 Bn |
| Dec 31, 2023 | 5.50 Bn |
| Sep 30, 2023 | 4.43 Bn |
| Jun 30, 2023 | 4.93 Bn |
| Mar 31, 2023 | 4.65 Bn |
| Dec 31, 2022 | 5.12 Bn |
| Sep 30, 2022 | 4.21 Bn |
| Jun 30, 2022 | 4.23 Bn |
| Mar 31, 2022 | 6.39 Bn |
| Dec 31, 2021 | 6.30 Bn |
| Sep 30, 2021 | 3.58 Bn |
API Access
Gilead Sciences Operating Expenses 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=operating-expenses&ticker=GILD&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=GILD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();