Exelixis (EXEL) EV to EBITDA (2011 - 2026)
Exelixis' (EXEL) EV to EBITDA was 13.06 for Q2 2027, down 18.4% from 16.00 a year earlier but up 21.8% from the prior quarter.
Exelixis (EXEL) EV to EBITDA (2011 - 2026) Analysis & Trends
Over the twelve months ended Jul 3, 2026, Exelixis' EV to EBITDA came in at 10.24, down 10.5% year-over-year; for FY2026, it was 11.52, down 13.8% from FY2025.
- By year, EV to EBITDA came in at 13.35 in FY2025, 31.89 in FY2023 (+82.4%) and 17.48 in FY2022 (+20.4%).
- Five-year quarterly EV to EBITDA spans a low of 10.71 in Q1 2026 and a high of 30.69 in Q1 2025.
- Year over year, EV to EBITDA gained in three of the last six quarters, with an average decline of 12.6%.
- Per Business Quant data, the three quarters before Q2 2027 came in at 10.73 (Q1 2027), 11.52 (Q4 2026) and 11.76 (Q3 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Johnson & Johnson | 655.56 Bn | 574.09 Bn | 17.26 Bn |
| 2 | AbbVie | 470.94 Bn | 444.10 Bn | 12.70 Bn |
| 3 | Merck | 367.14 Bn | 321.57 Bn | 12.21 Bn |
| 4 | Novartis Ag | 280.33 Bn | 236.20 Bn | 11.24 Bn |
| 5 | Astrazeneca | 257.78 Bn | 231.34 Bn | 12.86 Bn |
| 6 | Amgen | 226.04 Bn | 181.44 Bn | 7.24 Bn |
| 7 | Gilead Sciences | 188.89 Bn | 163.01 Bn | 6.22 Bn |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn |
| 9 | Vertex Pharmaceuticals | 133.68 Bn | 105.69 Bn | 2.84 Bn |
| 10 | Exelixis | 14.53 Bn | 10.86 Bn | 608.03 Mn |
Historic Data
| Date | Value |
|---|---|
| Jul 3, 2026 | 13.06 |
| Apr 3, 2026 | 10.73 |
| Jan 2, 2026 | 11.52 |
| Oct 3, 2025 | 11.76 |
| Jul 4, 2025 | 16.00 |
| Apr 4, 2025 | 10.71 |
| Jan 3, 2025 | 13.35 |
| Sep 27, 2024 | 11.31 |
| Jun 28, 2024 | 13.65 |
| Mar 29, 2024 | 30.69 |
| Dec 29, 2023 | 31.89 |
| Sep 29, 2023 | 86.03 |
| Jun 30, 2023 | 29.29 |
| Mar 31, 2023 | 29.33 |
| Dec 30, 2022 | 17.48 |
| Sep 30, 2022 | 9.13 |
| Jul 1, 2022 | 15.33 |
| Apr 1, 2022 | 14.74 |
| Dec 31, 2021 | 14.46 |
| Oct 1, 2021 | 25.88 |
Exelixis EV to EBITDA 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-ebitda&ticker=EXEL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ev-to-ebitda", "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-ebitda&ticker=EXEL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();