Exelixis (EXEL) Cash from Operations (2010 - 2026)
Exelixis (EXEL) recorded Cash from Operations of $307.74 million in Q2 2027, up 528.1% from $48.99 million a year earlier and up 22.2% from the prior quarter.
Exelixis (EXEL) Cash from Operations (2010 - 2026) Analysis & Trends
On a TTM basis, Exelixis' Cash from Operations came in at $1.18 billion as of Jul 3, 2026, up 53.3% year-over-year; for FY2026, it was $884.27 million, up 26.3% from FY2025.
- Annual Cash from Operations has a five-year compound annual growth rate of 17.1% (FY2021 to FY2026).
- Across earlier years, Cash from Operations came in at $699.97 million in FY2025, $333.32 million in FY2023 (-8.1%) and $362.61 million in FY2022 (-9.5%).
- Quarterly Cash from Operations has ranged from $48.99 million in Q2 2026 to $333.52 million in Q4 2026 over the past five years.
- On a year-over-year basis, Cash from Operations has increased for four consecutive quarters, with growth averaging 123.5% over the last six quarters.
- Per Business Quant, the preceding three quarters came in at $251.85 million (Q1 2027), $333.52 million (Q4 2026) and $290.32 million (Q3 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash from Ops. (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 638.12 Bn | 556.64 Bn | 17.26 Bn | 8.62 Bn |
| 2 | AbbVie | 462.60 Bn | 435.75 Bn | 12.70 Bn | 3.44 Bn |
| 3 | Merck | 358.70 Bn | 313.13 Bn | 12.21 Bn | 5.37 Bn |
| 4 | Novartis Ag | 272.16 Bn | 228.03 Bn | 11.24 Bn | 5.88 Bn |
| 5 | Astrazeneca | 250.36 Bn | 223.92 Bn | 12.86 Bn | 4.58 Bn |
| 6 | Amgen | 227.87 Bn | 183.27 Bn | 7.24 Bn | 4.00 Bn |
| 7 | Gilead Sciences | 184.97 Bn | 159.08 Bn | 6.22 Bn | 3.57 Bn |
| 8 | Pfizer | 162.61 Bn | 109.56 Bn | 10.94 Bn | 835.00 Mn |
| 9 | Vertex Pharmaceuticals | 132.45 Bn | 104.46 Bn | 2.84 Bn | 1.13 Bn |
| 10 | Exelixis | 14.54 Bn | 10.87 Bn | 608.03 Mn | 307.74 Mn |
Historic Data
| Date | Value |
|---|---|
| Jul 3, 2026 | 307.74 Mn |
| Apr 3, 2026 | 251.85 Mn |
| Jan 2, 2026 | 333.52 Mn |
| Oct 3, 2025 | 290.32 Mn |
| Jul 4, 2025 | 48.99 Mn |
| Apr 4, 2025 | 211.44 Mn |
| Jan 3, 2025 | 240.26 Mn |
| Sep 27, 2024 | 271.34 Mn |
| Jun 28, 2024 | 119.55 Mn |
| Mar 29, 2024 | 68.82 Mn |
| Dec 29, 2023 | 10.57 Mn |
| Sep 29, 2023 | 117.37 Mn |
| Jun 30, 2023 | 120.98 Mn |
| Mar 31, 2023 | 84.41 Mn |
| Dec 30, 2022 | 73.69 Mn |
| Sep 30, 2022 | 110.07 Mn |
| Jul 1, 2022 | 31.13 Mn |
| Apr 1, 2022 | 147.72 Mn |
| Dec 31, 2021 | 96.45 Mn |
| Oct 1, 2021 | 83.31 Mn |
Exelixis Cash from 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=cash-from-operations&ticker=EXEL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-from-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=cash-from-operations&ticker=EXEL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();