Exelixis (EXEL) Price to Book (2011 - 2026)
Exelixis' (EXEL) Price to Book stood at 7.54 in Q2 2027, up 23.0% from 6.13 a year earlier and up 31.1% from the prior quarter.
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Analysis
Exelixis (EXEL) Price to Book (2011 - 2026) Analysis & Trends
For FY2026, Exelixis' Price to Book came in at 5.29, up 24.1% from FY2025.
- Across earlier years, Price to Book came in at 4.26 in FY2025, 3.21 in FY2023 (+53.7%) and 2.09 in FY2022 (-20.8%).
- The Q2 2027 figure is the highest quarterly Price to Book in data going back to Q1 2020.
- On a year-over-year basis, Price to Book has increased for six consecutive quarters, with growth averaging 44.5% over the last six quarters.
- Per Business Quant, the preceding three quarters came in at 5.75 (Q1 2027), 5.29 (Q4 2026) and 4.97 (Q3 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Eli Lilly | 1,082.65 Bn | 1,051.23 Bn | 19.71 Bn |
| 2 | Johnson & Johnson | 623.68 Bn | 542.21 Bn | 17.26 Bn |
| 3 | AbbVie | 459.43 Bn | 432.59 Bn | 12.70 Bn |
| 4 | Merck | 354.80 Bn | 309.23 Bn | 12.21 Bn |
| 5 | Novartis Ag | 269.16 Bn | 225.03 Bn | 11.24 Bn |
| 6 | Astrazeneca | 244.40 Bn | 217.97 Bn | 12.86 Bn |
| 7 | Amgen | 220.17 Bn | 175.57 Bn | 7.24 Bn |
| 8 | Gilead Sciences | 183.05 Bn | 157.16 Bn | 6.22 Bn |
| 9 | Pfizer | 160.27 Bn | 107.22 Bn | 10.94 Bn |
| 10 | Exelixis | 14.42 Bn | 10.76 Bn | 608.03 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 3, 2026 | 7.54 |
| Apr 3, 2026 | 5.75 |
| Jan 2, 2026 | 5.29 |
| Oct 3, 2025 | 4.97 |
| Jul 4, 2025 | 6.13 |
| Apr 4, 2025 | 4.46 |
| Jan 3, 2025 | 4.26 |
| Sep 27, 2024 | 3.26 |
| Jun 28, 2024 | 3.02 |
| Mar 29, 2024 | 3.29 |
| Dec 29, 2023 | 3.21 |
| Sep 29, 2023 | 2.89 |
| Jun 30, 2023 | 2.42 |
| Mar 31, 2023 | 2.47 |
| Dec 30, 2022 | 2.09 |
| Sep 30, 2022 | 2.03 |
| Jul 1, 2022 | 2.90 |
| Apr 1, 2022 | 3.20 |
| Dec 31, 2021 | 2.64 |
| Oct 1, 2021 | 3.23 |
API Access
Exelixis Price to Book 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-book&ticker=EXEL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-book", "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-book&ticker=EXEL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();