Exelixis (EXEL) Operating Income (2010 - 2026)
Exelixis (EXEL) posted Operating Income of $248.41 million for Q2 2027, up 16.3% from $213.58 million a year earlier but down 1.2% from the prior quarter.
Exelixis (EXEL) Operating Income (2010 - 2026) Analysis & Trends
For the trailing twelve months through Jul 3, 2026, Operating Income at Exelixis was $971.51 million, up 38.8% year-over-year; for FY2026, it was $872.19 million, up 44.3% from FY2025.
- Annual Operating Income shows a five-year compound annual growth rate of 24.9% (FY2021 to FY2026).
- In prior years, Exelixis' Operating Income was $604.62 million in FY2025, $170.89 million in FY2023 (-15.2%) and $201.48 million in FY2022 (-29.7%).
- Quarterly Operating Income has run from a low of $29.46 million in Q1 2025 to a high of $275.87 million in Q2 2025 over five years.
- On a year-over-year basis, Operating Income has increased in each of the last four quarters, with growth averaging 113.4% over the last six quarters.
- According to Business Quant data, Operating Income for the three prior quarters was $251.34 million (Q1 2027), $235.22 million (Q4 2026) and $236.54 million (Q3 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Op. Inc (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,076.25 Bn | 1,044.84 Bn | 19.71 Bn | 11.75 Bn |
| 2 | Johnson & Johnson | 617.18 Bn | 535.70 Bn | 17.26 Bn | 7.14 Bn |
| 3 | AbbVie | 464.58 Bn | 437.73 Bn | 12.70 Bn | 6.43 Bn |
| 4 | Merck | 356.04 Bn | 310.47 Bn | 12.21 Bn | -584.00 Mn |
| 5 | Novartis Ag | 269.07 Bn | 224.94 Bn | 11.24 Bn | 4.75 Bn |
| 6 | Astrazeneca | 243.21 Bn | 216.77 Bn | 12.86 Bn | 3.16 Bn |
| 7 | Amgen | 217.88 Bn | 173.28 Bn | 7.24 Bn | 3.51 Bn |
| 8 | Gilead Sciences | 179.62 Bn | 153.74 Bn | 6.22 Bn | -10.39 Bn |
| 9 | Pfizer | 158.45 Bn | 105.40 Bn | 10.94 Bn | 4.27 Bn |
| 10 | Exelixis | 14.53 Bn | 10.87 Bn | 608.03 Mn | 248.41 Mn |
Historic Data
| Date | Value |
|---|---|
| Jul 3, 2026 | 248.41 Mn |
| Apr 3, 2026 | 251.34 Mn |
| Jan 2, 2026 | 235.22 Mn |
| Oct 3, 2025 | 236.54 Mn |
| Jul 4, 2025 | 213.58 Mn |
| Apr 4, 2025 | 186.86 Mn |
| Jan 3, 2025 | 163.21 Mn |
| Sep 27, 2024 | 136.08 Mn |
| Jun 28, 2024 | 275.87 Mn |
| Mar 29, 2024 | 29.46 Mn |
| Dec 29, 2023 | 81.79 Mn |
| Sep 29, 2023 | -17.58 Mn |
| Jun 30, 2023 | 77.85 Mn |
| Mar 31, 2023 | 28.83 Mn |
| Dec 30, 2022 | -48.08 Mn |
| Sep 30, 2022 | 82.61 Mn |
| Jul 1, 2022 | 83.71 Mn |
| Apr 1, 2022 | 83.24 Mn |
| Oct 1, 2021 | 51.62 Mn |
| Jul 2, 2021 | 123.01 Mn |
Exelixis Operating Income 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-income&ticker=EXEL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-income", "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-income&ticker=EXEL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();