Exelixis (EXEL) Property, Plant & Equipment (Net) (2010 - 2026)
Exelixis' Property, Plant & Equipment (Net) was $92.67 million in Q2 2027, down 16.0% from $110.31 million a year earlier and down 3.0% from the prior quarter.
Exelixis (EXEL) Property, Plant & Equipment (Net) (2010 - 2026) Analysis & Trends
At the end of FY2026, Property, Plant & Equipment (Net) at Exelixis came in at $98.96 million, down 17.1% from FY2025.
- Property, Plant & Equipment (Net) shows a five-year compound annual growth rate of -1.0% (FY2021 to FY2026).
- In earlier years, Property, Plant & Equipment (Net) was $119.39 million in FY2025, $128.73 million in FY2023 (+16.4%) and $110.62 million in FY2022 (+6.3%).
- The Q2 2027 figure marks the lowest quarterly Property, Plant & Equipment (Net) since Q3 2021.
- Compared with a year earlier, Property, Plant & Equipment (Net) has declined for six straight quarters, with an average decline of 15.1% over the last six quarters.
- Per Business Quant data, EXEL's Property, Plant & Equipment (Net) in the three quarters before Q2 2027 was $95.52 million (Q1 2027), $98.96 million (Q4 2026) and $104.75 million (Q3 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | PP&E (Net) (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,076.25 Bn | 1,044.84 Bn | 19.71 Bn | 29.29 Bn |
| 2 | Johnson & Johnson | 617.18 Bn | 535.70 Bn | 17.26 Bn | 23.58 Bn |
| 3 | AbbVie | 464.58 Bn | 437.73 Bn | 12.70 Bn | 5.80 Bn |
| 4 | Merck | 356.04 Bn | 310.47 Bn | 12.21 Bn | 25.74 Bn |
| 5 | Novartis Ag | 269.07 Bn | 224.94 Bn | 11.24 Bn | 10.69 Bn |
| 6 | Astrazeneca | 243.21 Bn | 216.77 Bn | 12.86 Bn | 13.62 Bn |
| 7 | Amgen | 217.88 Bn | 173.28 Bn | 7.24 Bn | 8.55 Bn |
| 8 | Gilead Sciences | 179.62 Bn | 153.74 Bn | 6.22 Bn | 5.83 Bn |
| 9 | Pfizer | 158.45 Bn | 105.40 Bn | 10.94 Bn | 19.03 Bn |
| 10 | Exelixis | 14.53 Bn | 10.87 Bn | 608.03 Mn | 92.67 Mn |
Historic Data
| Date | Value |
|---|---|
| Jul 3, 2026 | 92.67 Mn |
| Apr 3, 2026 | 95.52 Mn |
| Jan 2, 2026 | 98.96 Mn |
| Oct 3, 2025 | 104.75 Mn |
| Jul 4, 2025 | 110.31 Mn |
| Apr 4, 2025 | 115.03 Mn |
| Jan 3, 2025 | 119.39 Mn |
| Sep 27, 2024 | 124.41 Mn |
| Jun 28, 2024 | 130.21 Mn |
| Mar 29, 2024 | 127.22 Mn |
| Dec 29, 2023 | 128.73 Mn |
| Sep 29, 2023 | 121.04 Mn |
| Jun 30, 2023 | 115.00 Mn |
| Mar 31, 2023 | 116.21 Mn |
| Dec 30, 2022 | 110.62 Mn |
| Sep 30, 2022 | 107.91 Mn |
| Jul 1, 2022 | 108.53 Mn |
| Apr 1, 2022 | 106.17 Mn |
| Dec 31, 2021 | 104.03 Mn |
| Oct 1, 2021 | 99.84 Mn |
Exelixis Property, Plant & Equipment (Net) 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=property-plant-and-equipment-net&ticker=EXEL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "property-plant-and-equipment-net", "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=property-plant-and-equipment-net&ticker=EXEL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();