Exelixis (EXEL) Price to Sales (2011 - 2026)
Exelixis' (EXEL) Price to Sales was 5.71 for Q2 2027, up 2.1% from 5.59 a year earlier and up 21.8% from the prior quarter.
Analysis
Exelixis (EXEL) Price to Sales (2011 - 2026) Analysis & Trends
For FY2026, Price to Sales at Exelixis was 4.93, up 11.7% from FY2025.
- By year, Price to Sales came in at 4.41 in FY2025, 3.97 in FY2023 (+23.1%) and 3.23 in FY2022 (-20.6%).
- The Q2 2027 figure ranks as the highest quarterly Price to Sales since Q3 2021.
- Year over year, Price to Sales has now increased in each of the last six quarters, with growth averaging 23.9% over the last six quarters.
- Per Business Quant data, the three quarters before Q2 2027 came in at 4.69 (Q1 2027), 4.93 (Q4 2026) and 4.70 (Q3 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Eli Lilly | 1,076.25 Bn | 1,044.84 Bn | 19.71 Bn |
| 2 | Johnson & Johnson | 617.18 Bn | 535.70 Bn | 17.26 Bn |
| 3 | AbbVie | 464.58 Bn | 437.73 Bn | 12.70 Bn |
| 4 | Merck | 356.04 Bn | 310.47 Bn | 12.21 Bn |
| 5 | Novartis Ag | 269.07 Bn | 224.94 Bn | 11.24 Bn |
| 6 | Astrazeneca | 243.21 Bn | 216.77 Bn | 12.86 Bn |
| 7 | Amgen | 217.88 Bn | 173.28 Bn | 7.24 Bn |
| 8 | Gilead Sciences | 179.62 Bn | 153.74 Bn | 6.22 Bn |
| 9 | Pfizer | 158.45 Bn | 105.40 Bn | 10.94 Bn |
| 10 | Exelixis | 14.53 Bn | 10.87 Bn | 608.03 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 3, 2026 | 5.71 |
| Apr 3, 2026 | 4.69 |
| Jan 2, 2026 | 4.93 |
| Oct 3, 2025 | 4.70 |
| Jul 4, 2025 | 5.59 |
| Apr 4, 2025 | 4.14 |
| Jan 3, 2025 | 4.41 |
| Sep 27, 2024 | 3.56 |
| Jun 28, 2024 | 3.18 |
| Mar 29, 2024 | 3.79 |
| Dec 29, 2023 | 3.97 |
| Sep 29, 2023 | 3.83 |
| Jun 30, 2023 | 3.57 |
| Mar 31, 2023 | 3.79 |
| Dec 30, 2022 | 3.23 |
| Sep 30, 2022 | 3.34 |
| Jul 1, 2022 | 4.66 |
| Apr 1, 2022 | 5.47 |
| Oct 1, 2021 | 5.43 |
| Jul 2, 2021 | 4.97 |
API Access
Exelixis Price to Sales 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=price-to-sales&ticker=EXEL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-sales", "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=price-to-sales&ticker=EXEL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();