Exelixis (EXEL) Cost of Revenue (2013 - 2026)
Exelixis (EXEL) posted Cost of Revenue of $20.66 million for Q2 2027, up 6.1% from $19.47 million a year earlier and up 3.5% from the prior quarter.
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Analysis
Exelixis (EXEL) Cost of Revenue (2013 - 2026) Analysis & Trends
For the trailing twelve months through Jul 3, 2026, Cost of Revenue at Exelixis was $85.67 million, up 12.8% year-over-year; for FY2026, it was $83.7 million, up 9.8% from FY2025.
- Annual Cost of Revenue shows a five-year compound annual growth rate of 9.6% (FY2021 to FY2026).
- In prior years, Exelixis' Cost of Revenue was $76.22 million in FY2025, $72.55 million in FY2023 (+25.3%) and $57.91 million in FY2022 (+9.5%).
- Quarterly Cost of Revenue has run from a low of $17.33 million in Q3 2025 to a high of $26.48 million in Q4 2026 over five years.
- On a year-over-year basis, Cost of Revenue has increased in each of the last five quarters, with growth averaging 8.4% over the last six quarters.
- According to Business Quant data, Cost of Revenue for the three prior quarters was $19.95 million (Q1 2027), $26.48 million (Q4 2026) and $18.57 million (Q3 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cost of Rev (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,076.25 Bn | 1,044.84 Bn | 19.71 Bn | 3.27 Bn |
| 2 | Johnson & Johnson | 617.18 Bn | 535.70 Bn | 17.26 Bn | 8.05 Bn |
| 3 | AbbVie | 464.58 Bn | 437.73 Bn | 12.70 Bn | 4.29 Bn |
| 4 | Merck | 356.04 Bn | 310.47 Bn | 12.21 Bn | 4.40 Bn |
| 5 | Novartis Ag | 269.07 Bn | 224.94 Bn | 11.24 Bn | 3.71 Bn |
| 6 | Astrazeneca | 243.21 Bn | 216.77 Bn | 12.86 Bn | 2.52 Bn |
| 7 | Amgen | 217.88 Bn | 173.28 Bn | 7.24 Bn | 2.81 Bn |
| 8 | Gilead Sciences | 179.62 Bn | 153.74 Bn | 6.22 Bn | 1.58 Bn |
| 9 | Pfizer | 158.45 Bn | 105.40 Bn | 10.94 Bn | 4.09 Bn |
| 10 | Exelixis | 14.53 Bn | 10.87 Bn | 608.03 Mn | 20.66 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 3, 2026 | 20.66 Mn |
| Apr 3, 2026 | 19.95 Mn |
| Jan 2, 2026 | 26.48 Mn |
| Oct 3, 2025 | 18.57 Mn |
| Jul 4, 2025 | 19.47 Mn |
| Apr 4, 2025 | 19.17 Mn |
| Jan 3, 2025 | 19.97 Mn |
| Sep 27, 2024 | 17.33 Mn |
| Jun 28, 2024 | 17.67 Mn |
| Mar 29, 2024 | 21.26 Mn |
| Dec 29, 2023 | 21.75 Mn |
| Sep 29, 2023 | 18.77 Mn |
| Jun 30, 2023 | 17.71 Mn |
| Mar 31, 2023 | 14.32 Mn |
| Dec 30, 2022 | 15.92 Mn |
| Sep 30, 2022 | 15.31 Mn |
| Jul 1, 2022 | 13.48 Mn |
| Apr 1, 2022 | 13.20 Mn |
| Dec 31, 2021 | 12.92 Mn |
| Oct 1, 2021 | 11.87 Mn |
API Access
Exelixis Cost of Revenue 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=cost-of-revenue&ticker=EXEL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cost-of-revenue", "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=cost-of-revenue&ticker=EXEL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();