Gilead Sciences (GILD) Other Operating Expenses (2009 - 2026)
Gilead Sciences (GILD) posted Other Operating Expenses of $14.28 billion for Q2 2026, up 410.1% from $2.8 billion a year earlier and up 432.2% from the prior quarter.
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Analysis
Gilead Sciences (GILD) Other Operating Expenses (2009 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Other Operating Expenses at Gilead Sciences was $23.28 billion, up 88.3% year-over-year; for FY2025, it came in at $12.03 billion, down 28.4% from FY2024.
- Annual Other Operating Expenses shows a five-year compound annual growth rate of -4.9% (FY2020 to FY2025).
- In prior years, Gilead Sciences' Other Operating Expenses was $16.8 billion in FY2024 (+25.7%), $13.37 billion in FY2023 (+15.5%), $11.58 billion in FY2022 (-4.6%) and $12.14 billion in FY2021 (-21.5%).
- The Q2 2026 figure stands as the highest quarterly Other Operating Expenses in data going back to Q1 2009.
- On a year-over-year basis, Other Operating Expenses increased in three of the last eight quarters, with growth averaging 40.4%.
- The strongest year-over-year quarter for Other Operating Expenses in the past five years was Q2 2026, with growth of 410.1%; the weakest was Q1 2025, with a decline of 56.0%.
- According to Business Quant data, Other Operating Expenses for the three prior quarters was $2.68 billion (Q1 2026), $3.49 billion (Q4 2025) and $2.83 billion (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Eli Lilly | 1,359.75 Bn | 1,333.37 Bn | 20.46 Bn |
| 2 | Johnson & Johnson | 688.76 Bn | 608.62 Bn | 17.30 Bn |
| 3 | AbbVie | 521.69 Bn | 489.75 Bn | 13.12 Bn |
| 4 | Merck | 364.31 Bn | 327.31 Bn | 13.19 Bn |
| 5 | Novartis Ag | 306.35 Bn | 279.93 Bn | - |
| 6 | Astrazeneca | 285.96 Bn | 259.56 Bn | 13.26 Bn |
| 7 | Amgen | 251.88 Bn | 203.53 Bn | 7.58 Bn |
| 8 | Gilead Sciences | 208.59 Bn | 183.61 Bn | 6.73 Bn |
| 9 | Pfizer | 164.73 Bn | 112.38 Bn | 12.56 Bn |
| 10 | Vertex Pharmaceuticals | 136.55 Bn | 104.28 Bn | 2.91 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 1.59 Bn |
| Jun 30, 2026 | 14.51 Bn |
| Mar 31, 2026 | 1.55 Bn |
| Dec 31, 2025 | 2.56 Bn |
| Sep 30, 2025 | 1.74 Bn |
| Jun 30, 2025 | 1.75 Bn |
| Mar 31, 2025 | 1.79 Bn |
| Dec 31, 2024 | 1.57 Bn |
| Sep 30, 2024 | 3.83 Bn |
| Jun 30, 2024 | 1.58 Bn |
| Mar 31, 2024 | 8.11 Bn |
| Dec 31, 2023 | 2.49 Bn |
| Sep 30, 2023 | 1.66 Bn |
| Jun 30, 2023 | 1.68 Bn |
| Mar 31, 2023 | 1.88 Bn |
| Dec 31, 2022 | 1.55 Bn |
| Sep 30, 2022 | 1.84 Bn |
| Jun 30, 2022 | 1.77 Bn |
| Mar 31, 2022 | 4.13 Bn |
| Dec 31, 2021 | 3.30 Bn |
API Access
Gilead Sciences Other 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=other-operating-expenses&ticker=GILD&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-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=other-operating-expenses&ticker=GILD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();