Exelixis (EXEL) Restructuring Costs (2010 - 2026)
Exelixis' Restructuring Costs was $694,000 in Q4 2026, up 136.1% from $294,000 a year earlier but down 96.5% from the prior quarter.
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Analysis
Exelixis (EXEL) Restructuring Costs (2010 - 2026) Analysis & Trends
For FY2026, Restructuring Costs at Exelixis came in at $20.51 million, down 39.1% from FY2025.
- In earlier years, Restructuring Costs was $33.7 million in FY2025.
- Quarterly Restructuring Costs has moved between $100,000 (Q3 2025) and $32.84 million (Q1 2025) over five years.
Peer Set
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
Download Data
Historic Data
| Date | Value |
|---|---|
| Jan 2, 2026 | 694,000.00 |
| Oct 3, 2025 | 19.82 Mn |
| Jan 3, 2025 | 294,000.00 |
| Sep 27, 2024 | 100,000.00 |
| Jun 28, 2024 | 475,000.00 |
| Mar 29, 2024 | 32.84 Mn |
| Jun 30, 2017 | -60,000.00 |
| Mar 31, 2017 | 28,000.00 |
| Dec 30, 2016 | 43,000.00 |
| Sep 30, 2016 | -244,000.00 |
| Jun 30, 2016 | 1.02 Mn |
| Mar 31, 2016 | 94,000.00 |
| Sep 30, 2015 | 282,000.00 |
| Jun 30, 2015 | 1.29 Mn |
| Mar 31, 2015 | -431,000.00 |
| Dec 31, 2014 | 3.46 Mn |
| Sep 30, 2014 | 3.76 Mn |
| Jun 30, 2014 | 331,000.00 |
| Mar 31, 2014 | 46,000.00 |
| Dec 31, 2013 | 366,000.00 |
API Access
Exelixis Restructuring Costs 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=restructuring-costs&ticker=EXEL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "restructuring-costs", "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=restructuring-costs&ticker=EXEL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();