Exelixis (EXEL) EV to CFO (2016 - 2026)
Exelixis' EV to CFO was 11.04 in Q2 2027, down 27.0% from 15.12 a year earlier and down 1.4% from the prior quarter.
Exelixis (EXEL) EV to CFO (2016 - 2026) Analysis & Trends
On a trailing twelve-month basis, Exelixis' EV to CFO was 8.65 through Jul 3, 2026, down 20.0% year-over-year; for FY2026, it was 11.74, down 2.9% from FY2025.
- In earlier years, EV to CFO was 12.09 in FY2025, 18.81 in FY2023 (+75.4%) and 10.72 in FY2022 (-1.5%).
- The Q2 2027 figure marks the lowest quarterly EV to CFO since Q1 2026.
- Compared with a year earlier, EV to CFO was higher in 1 of the last six quarters, with an average decline of 14.0%.
- Per Business Quant data, EXEL's EV to CFO in the three quarters before Q2 2027 was 11.20 (Q1 2027), 11.74 (Q4 2026) and 12.34 (Q3 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Johnson & Johnson | 638.12 Bn | 556.64 Bn | 17.26 Bn |
| 2 | AbbVie | 462.60 Bn | 435.75 Bn | 12.70 Bn |
| 3 | Merck | 358.70 Bn | 313.13 Bn | 12.21 Bn |
| 4 | Novartis Ag | 272.16 Bn | 228.03 Bn | 11.24 Bn |
| 5 | Astrazeneca | 250.36 Bn | 223.92 Bn | 12.86 Bn |
| 6 | Amgen | 227.87 Bn | 183.27 Bn | 7.24 Bn |
| 7 | Gilead Sciences | 184.97 Bn | 159.08 Bn | 6.22 Bn |
| 8 | Pfizer | 162.61 Bn | 109.56 Bn | 10.94 Bn |
| 9 | Vertex Pharmaceuticals | 132.45 Bn | 104.46 Bn | 2.84 Bn |
| 10 | Exelixis | 14.54 Bn | 10.87 Bn | 608.03 Mn |
Historic Data
| Date | Value |
|---|---|
| Jul 3, 2026 | 11.04 |
| Apr 3, 2026 | 11.20 |
| Jan 2, 2026 | 11.74 |
| Oct 3, 2025 | 12.34 |
| Jul 4, 2025 | 15.12 |
| Apr 4, 2025 | 10.06 |
| Jan 3, 2025 | 12.09 |
| Sep 27, 2024 | 13.25 |
| Jun 28, 2024 | 17.09 |
| Mar 29, 2024 | 19.00 |
| Dec 29, 2023 | 18.81 |
| Sep 29, 2023 | 14.36 |
| Jun 30, 2023 | 12.47 |
| Mar 31, 2023 | 16.69 |
| Dec 30, 2022 | 10.72 |
| Sep 30, 2022 | 9.11 |
| Jul 1, 2022 | 15.08 |
| Apr 1, 2022 | 11.32 |
| Dec 31, 2021 | 10.88 |
| Oct 1, 2021 | 37.47 |
Exelixis EV to CFO 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=ev-to-cfo&ticker=EXEL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ev-to-cfo", "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=ev-to-cfo&ticker=EXEL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();