Exelixis (EXEL) Selling, General & Administrative (2010 - 2026)
Exelixis (EXEL) recorded Selling, General & Administrative of $147.63 million in Q2 2027, up 9.5% from $134.86 million a year earlier and up 5.8% from the prior quarter.
Powered by 
Analysis
Exelixis (EXEL) Selling, General & Administrative (2010 - 2026) Analysis & Trends
On a TTM basis, Exelixis' Selling, General & Administrative came in at $533.92 million as of Jul 3, 2026, up 3.0% year-over-year; for FY2026, it was $518.73 million, up 5.4% from FY2025.
- Annual Selling, General & Administrative has a five-year compound annual growth rate of 5.2% (FY2021 to FY2026).
- Across earlier years, Selling, General & Administrative came in at $492.13 million in FY2025, $542.71 million in FY2023 (+18.0%) and $459.86 million in FY2022 (+14.5%).
- The Q2 2027 figure is the highest quarterly Selling, General & Administrative in data going back to Q1 2020.
- On a year-over-year basis, Selling, General & Administrative rose in five of the last six quarters, with growth averaging 6.0%.
- Per Business Quant, the preceding three quarters came in at $139.6 million (Q1 2027), $123.02 million (Q4 2026) and $123.66 million (Q3 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,076.25 Bn | 1,044.84 Bn | 19.71 Bn | 3.43 Bn |
| 2 | Johnson & Johnson | 617.18 Bn | 535.70 Bn | 17.26 Bn | 6.43 Bn |
| 3 | AbbVie | 464.58 Bn | 437.73 Bn | 12.70 Bn | 3.63 Bn |
| 4 | Merck | 356.04 Bn | 310.47 Bn | 12.21 Bn | 2.90 Bn |
| 5 | Novartis Ag | 269.07 Bn | 224.94 Bn | 11.24 Bn | -3.24 Bn |
| 6 | Astrazeneca | 243.21 Bn | 216.77 Bn | 12.86 Bn | -5.65 Bn |
| 7 | Amgen | 217.88 Bn | 173.28 Bn | 7.24 Bn | 1.75 Bn |
| 8 | Gilead Sciences | 179.62 Bn | 153.74 Bn | 6.22 Bn | 1.92 Bn |
| 9 | Pfizer | 158.45 Bn | 105.40 Bn | 10.94 Bn | 3.41 Bn |
| 10 | Exelixis | 14.53 Bn | 10.87 Bn | 608.03 Mn | 147.63 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 3, 2026 | 147.63 Mn |
| Apr 3, 2026 | 139.60 Mn |
| Jan 2, 2026 | 123.02 Mn |
| Oct 3, 2025 | 123.66 Mn |
| Jul 4, 2025 | 134.86 Mn |
| Apr 4, 2025 | 137.18 Mn |
| Jan 3, 2025 | 134.33 Mn |
| Sep 27, 2024 | 111.80 Mn |
| Jun 28, 2024 | 132.02 Mn |
| Mar 29, 2024 | 113.98 Mn |
| Dec 29, 2023 | 131.44 Mn |
| Sep 29, 2023 | 138.14 Mn |
| Jun 30, 2023 | 141.72 Mn |
| Mar 31, 2023 | 131.40 Mn |
| Dec 30, 2022 | 119.25 Mn |
| Sep 30, 2022 | 114.98 Mn |
| Jul 1, 2022 | 122.76 Mn |
| Apr 1, 2022 | 102.86 Mn |
| Dec 31, 2021 | 99.31 Mn |
| Oct 1, 2021 | 101.56 Mn |
API Access
Exelixis Selling, General & Administrative 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=selling-general-and-administrative&ticker=EXEL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "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=selling-general-and-administrative&ticker=EXEL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();