Exelixis (EXEL) Income from Continuing Operations (2010 - 2026)
Exelixis' Income from Continuing Operations was $212.05 million in Q2 2027, up 14.7% from $184.85 million a year earlier and up 0.8% from the prior quarter.
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Analysis
Exelixis (EXEL) Income from Continuing Operations (2010 - 2026) Analysis & Trends
On a trailing twelve-month basis, Exelixis' Income from Continuing Operations was $860.62 million through Jul 3, 2026, up 42.9% year-over-year; for FY2026, it was $782.57 million, up 50.1% from FY2025.
- Income from Continuing Operations shows a five-year compound annual growth rate of 27.6% (FY2021 to FY2026).
- In earlier years, Income from Continuing Operations was $521.27 million in FY2025, $207.77 million in FY2023 (+14.0%) and $182.28 million in FY2022 (-21.1%).
- Quarterly Income from Continuing Operations has moved between $37.32 million (Q1 2025) and $244.53 million (Q4 2026) over five years.
- Compared with a year earlier, Income from Continuing Operations has increased for four straight quarters, with growth averaging 82.5% over the last six quarters.
- Per Business Quant data, EXEL's Income from Continuing Operations in the three quarters before Q2 2027 was $210.47 million (Q1 2027), $244.53 million (Q4 2026) and $193.58 million (Q3 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Income (Continuing) (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 638.12 Bn | 556.64 Bn | 17.26 Bn | 5.53 Bn |
| 2 | AbbVie | 462.60 Bn | 435.75 Bn | 12.70 Bn | 3.62 Bn |
| 3 | Merck | 358.70 Bn | 313.13 Bn | 12.21 Bn | -1.34 Bn |
| 4 | Novartis Ag | 272.16 Bn | 228.03 Bn | 11.24 Bn | 5.28 Bn |
| 5 | Astrazeneca | 250.36 Bn | 223.92 Bn | 12.86 Bn | 3.09 Bn |
| 6 | Amgen | 227.87 Bn | 183.27 Bn | 7.24 Bn | 2.38 Bn |
| 7 | Gilead Sciences | 184.97 Bn | 159.08 Bn | 6.22 Bn | -10.50 Bn |
| 8 | Pfizer | 162.61 Bn | 109.56 Bn | 10.94 Bn | -246.00 Mn |
| 9 | Vertex Pharmaceuticals | 132.45 Bn | 104.46 Bn | 2.84 Bn | 1.10 Bn |
| 10 | Exelixis | 14.54 Bn | 10.87 Bn | 608.03 Mn | 212.05 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 3, 2026 | 212.05 Mn |
| Apr 3, 2026 | 210.47 Mn |
| Jan 2, 2026 | 244.53 Mn |
| Oct 3, 2025 | 193.58 Mn |
| Jul 4, 2025 | 184.85 Mn |
| Apr 4, 2025 | 159.62 Mn |
| Jan 3, 2025 | 139.86 Mn |
| Sep 27, 2024 | 117.97 Mn |
| Jun 28, 2024 | 226.12 Mn |
| Mar 29, 2024 | 37.32 Mn |
| Dec 29, 2023 | 85.52 Mn |
| Sep 29, 2023 | 1.04 Mn |
| Jun 30, 2023 | 81.18 Mn |
| Mar 31, 2023 | 40.03 Mn |
| Dec 30, 2022 | -30.17 Mn |
| Sep 30, 2022 | 73.21 Mn |
| Jul 1, 2022 | 70.67 Mn |
| Apr 1, 2022 | 68.57 Mn |
| Dec 31, 2021 | 95.17 Mn |
| Oct 1, 2021 | 38.20 Mn |
API Access
Exelixis Income from Continuing Operations 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=income-from-continuing-operations&ticker=EXEL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "income-from-continuing-operations", "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=income-from-continuing-operations&ticker=EXEL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();