Illumina (ILMN) Selling, General & Administrative (2009 - 2026)
Illumina's Selling, General & Administrative came in at $273 million for Q2 2026, up 16.7% from $234 million a year earlier and up 0.4% from the prior quarter.
Illumina (ILMN) Selling, General & Administrative (2009 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 28, 2026, Illumina reported Selling, General & Administrative of $1.13 billion, up 11.0% year-over-year; for FY2025, it came in at $1.09 billion, down 0.5% from FY2024.
- Selling, General & Administrative carries a four-year compound annual growth rate of 3.6% (FY2021 to FY2025).
- Going back by year, Selling, General & Administrative was $1.09 billion in FY2024 (-32.3%), $1.61 billion in FY2023 (+24.3%), $1.3 billion in FY2022 and $941 million in FY2021.
- The five-year range for quarterly Selling, General & Administrative is -$369 million (Q4 2022) to $485 million (Q4 2023).
- Year-over-year, Selling, General & Administrative has increased for five consecutive quarters, with growth averaging 0.2% over the last eight quarters.
- The fastest year-over-year change in Selling, General & Administrative over five years came in Q2 2025 (growth of 59.2%), and the weakest in Q2 2024 (a decline of 68.2%).
- Business Quant data shows ILMN's Selling, General & Administrative at $272 million (Q1 2026), $309 million (Q4 2025) and $277 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 243.20 Bn | 222.35 Bn | 4.88 Bn | 2.33 Bn |
| 2 | Abbott Laboratories | 172.35 Bn | 143.43 Bn | 7.27 Bn | 4.03 Bn |
| 3 | Danaher | 154.53 Bn | 138.35 Bn | 3.61 Bn | 2.07 Bn |
| 4 | Intuitive Surgical | 150.04 Bn | 129.59 Bn | 1.96 Bn | 617.90 Mn |
| 5 | Medtronic | 113.25 Bn | 79.11 Bn | 6.34 Bn | 3.20 Bn |
| 6 | Stryker | 106.37 Bn | 92.49 Bn | 4.50 Bn | 2.23 Bn |
| 7 | Boston Scientific | 61.94 Bn | 56.95 Bn | 3.85 Bn | 1.80 Bn |
| 8 | Becton Dickinson | 50.05 Bn | 47.20 Bn | 2.32 Bn | 1.26 Bn |
| 9 | Edwards Lifesciences | 49.13 Bn | 33.24 Bn | 1.35 Bn | 561.20 Mn |
| 10 | Illumina | 42.00 Bn | 36.77 Bn | 770.00 Mn | 273.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 28, 2026 | 273.00 Mn |
| Mar 29, 2026 | 272.00 Mn |
| Dec 28, 2025 | 309.00 Mn |
| Sep 28, 2025 | 277.00 Mn |
| Jun 29, 2025 | 234.00 Mn |
| Mar 30, 2025 | 267.00 Mn |
| Dec 29, 2024 | 279.00 Mn |
| Sep 29, 2024 | 239.00 Mn |
| Jun 30, 2024 | 147.00 Mn |
| Mar 31, 2024 | 439.00 Mn |
| Dec 31, 2023 | 485.00 Mn |
| Oct 1, 2023 | 303.00 Mn |
| Jul 2, 2023 | 462.00 Mn |
| Apr 2, 2023 | 378.00 Mn |
| Jan 1, 2023 | -369.00 Mn |
| Oct 2, 2022 | 146.00 Mn |
| Jul 3, 2022 | 410.00 Mn |
| Apr 3, 2022 | 308.00 Mn |
| Oct 3, 2021 | 879.00 Mn |
| Jul 4, 2021 | 413.00 Mn |
Illumina 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=ILMN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "ticker": "ILMN", "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=ILMN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();