Exelixis (EXEL) Operating Expenses (2010 - 2026)
Exelixis (EXEL) recorded Operating Expenses of $380.28 million in Q2 2027, up 7.2% from $354.69 million a year earlier and up 5.8% from the prior quarter.
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Analysis
Exelixis (EXEL) Operating Expenses (2010 - 2026) Analysis & Trends
On a TTM basis, Exelixis' Operating Expenses came in at $1.46 billion as of Jul 3, 2026, down 4.3% year-over-year; for FY2026, it came in at $1.45 billion, down 7.4% from FY2025.
- Annual Operating Expenses has a five-year compound annual growth rate of 4.7% (FY2021 to FY2026).
- Across earlier years, Operating Expenses came in at $1.56 billion in FY2025, $1.66 billion in FY2023 (+17.7%) and $1.41 billion in FY2022 (+22.8%).
- The Q2 2027 figure is the highest quarterly Operating Expenses since Q4 2025.
- On a year-over-year basis, Operating Expenses rose in 1 of the last six quarters, with an average decline of 4.1%.
- Per Business Quant, the preceding three quarters came in at $359.47 million (Q1 2027), $363.45 million (Q4 2026) and $361.22 million (Q3 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 655.56 Bn | 574.09 Bn | 17.26 Bn | 10.12 Bn |
| 2 | AbbVie | 470.94 Bn | 444.10 Bn | 12.70 Bn | 10.56 Bn |
| 3 | Merck | 367.14 Bn | 321.57 Bn | 12.21 Bn | 12.80 Bn |
| 4 | Novartis Ag | 280.33 Bn | 236.20 Bn | 11.24 Bn | -6.09 Bn |
| 5 | Astrazeneca | 257.78 Bn | 231.34 Bn | 12.86 Bn | -9.70 Bn |
| 6 | Amgen | 226.04 Bn | 181.44 Bn | 7.24 Bn | 6.54 Bn |
| 7 | Gilead Sciences | 188.89 Bn | 163.01 Bn | 6.22 Bn | 18.20 Bn |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn | 6.68 Bn |
| 9 | Vertex Pharmaceuticals | 133.68 Bn | 105.69 Bn | 2.84 Bn | 2.09 Bn |
| 10 | Exelixis | 14.53 Bn | 10.86 Bn | 608.03 Mn | 380.28 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 3, 2026 | 380.28 Mn |
| Apr 3, 2026 | 359.47 Mn |
| Jan 2, 2026 | 363.45 Mn |
| Oct 3, 2025 | 361.22 Mn |
| Jul 4, 2025 | 354.69 Mn |
| Apr 4, 2025 | 368.59 Mn |
| Jan 3, 2025 | 403.55 Mn |
| Sep 27, 2024 | 403.47 Mn |
| Jun 28, 2024 | 361.30 Mn |
| Mar 29, 2024 | 395.76 Mn |
| Dec 29, 2023 | 397.86 Mn |
| Sep 29, 2023 | 489.50 Mn |
| Jun 30, 2023 | 392.00 Mn |
| Mar 31, 2023 | 379.96 Mn |
| Dec 30, 2022 | 472.00 Mn |
| Sep 30, 2022 | 329.13 Mn |
| Jul 1, 2022 | 335.72 Mn |
| Apr 1, 2022 | 272.74 Mn |
| Dec 31, 2021 | 334.50 Mn |
| Oct 1, 2021 | 276.80 Mn |
API Access
Exelixis 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=EXEL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "EXEL", "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=EXEL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();