Illumina (ILMN) Operating Expenses (2009 - 2026)
Illumina (ILMN) reported Operating Expenses of $525 million for Q2 2026, up 9.1% from $481 million a year earlier and up 2.5% from the prior quarter.
Powered by 
Analysis
Illumina (ILMN) Operating Expenses (2009 - 2026) Analysis & Trends
Over the twelve months ended Jun 28, 2026, Illumina's Operating Expenses came in at $2.1 billion, up 34.9% year-over-year; for FY2025, it was $2.06 billion, down 44.2% from FY2024.
- Operating Expenses has declined for three consecutive years, though with a four-year compound annual growth rate of 6.2% (FY2021 to FY2025).
- By year, Operating Expenses came in at $3.69 billion in FY2024 (-3.1%), $3.81 billion in FY2023 (-46.7%), $7.15 billion in FY2022 and $1.62 billion in FY2021.
- Five-year quarterly Operating Expenses spans a low of $4 million in Q3 2024 and a high of $4.65 billion in Q4 2022.
- Year over year, Operating Expenses gained in two of the last seven quarters, with an average decline of 34.0%.
- The high point for year-over-year Operating Expenses in five years was Q2 2024 (growth of 187.6%); the low point was Q3 2024 (a decline of 99.7%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $512 million (Q1 2026), $558 million (Q4 2025) and $506 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 243.20 Bn | 222.35 Bn | 4.88 Bn | 9.91 Bn |
| 2 | Abbott Laboratories | 172.35 Bn | 143.43 Bn | 7.27 Bn | 10.90 Bn |
| 3 | Danaher | 154.53 Bn | 138.35 Bn | 3.61 Bn | 2.48 Bn |
| 4 | Intuitive Surgical | 150.04 Bn | 129.59 Bn | 1.96 Bn | 988.50 Mn |
| 5 | Medtronic | 113.25 Bn | 79.11 Bn | 6.34 Bn | 4.06 Bn |
| 6 | Stryker | 106.37 Bn | 92.49 Bn | 4.50 Bn | 2.84 Bn |
| 7 | Boston Scientific | 61.94 Bn | 56.95 Bn | 3.85 Bn | 2.67 Bn |
| 8 | Becton Dickinson | 50.05 Bn | 47.20 Bn | 2.32 Bn | 4.32 Bn |
| 9 | Edwards Lifesciences | 49.13 Bn | 33.24 Bn | 1.35 Bn | 840.10 Mn |
| 10 | Illumina | 42.00 Bn | 36.77 Bn | 770.00 Mn | 525.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 28, 2026 | 525.00 Mn |
| Mar 29, 2026 | 512.00 Mn |
| Dec 28, 2025 | 558.00 Mn |
| Sep 28, 2025 | 506.00 Mn |
| Jun 29, 2025 | 481.00 Mn |
| Mar 30, 2025 | 519.00 Mn |
| Dec 29, 2024 | 553.00 Mn |
| Sep 29, 2024 | 4.00 Mn |
| Jun 30, 2024 | 2.36 Bn |
| Mar 31, 2024 | 778.00 Mn |
| Dec 31, 2023 | 838.00 Mn |
| Oct 1, 2023 | 1.44 Bn |
| Jul 2, 2023 | 820.00 Mn |
| Apr 2, 2023 | 719.00 Mn |
| Jan 1, 2023 | 4.65 Bn |
| Oct 2, 2022 | 4.37 Bn |
| Jul 3, 2022 | 1.35 Bn |
| Apr 3, 2022 | 631.00 Mn |
| Oct 3, 2021 | 1.32 Bn |
| Jul 4, 2021 | 615.00 Mn |
API Access
Illumina Operating Expenses 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=operating-expenses&ticker=ILMN&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=ILMN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();