Analog Devices (ADI) Operating Expenses (2009 - 2026)
Analog Devices' Operating Expenses came in at $1.09 billion for fiscal Q3 2026 (quarter ended Aug 1, 2026), up 12.6% from $971.72 million a year earlier and up 3.3% from the prior quarter.
Powered by 
Analysis
Analog Devices (ADI) Operating Expenses (2009 - 2026) Analysis & Trends
Over the trailing twelve months to Aug 1, 2026, Analog Devices reported Operating Expenses of $4.2 billion, up 13.8% year-over-year; for FY2025 (ended Nov 1, 2025), it came in at $3.84 billion, up 14.7% from FY2024.
- Operating Expenses carries a five-year compound annual growth rate of 11.9% (FY2020 to FY2025).
- Going back by fiscal year, Operating Expenses was $3.35 billion in FY2024 (-17.4%), $4.05 billion in FY2023 (-4.7%), $4.25 billion in FY2022 (+50.2%) and $2.83 billion in FY2021 (+29.2%).
- The fiscal Q3 2026 figure represents the highest quarterly Operating Expenses since fiscal Q3 2022.
- Year-over-year, Operating Expenses has increased for seven consecutive quarters, with growth averaging 10.1% over the last eight quarters.
- The fastest year-over-year change in Operating Expenses over five years came in fiscal Q3 2022 (growth of 88.0%), and the weakest in fiscal Q2 2024 (a decline of 21.9%).
- Business Quant data shows ADI's Operating Expenses at $1.06 billion (Q2 2026), $1.05 billion (Q1 2026) and $996.61 million (Q4 2025) in the three fiscal quarters before Q3 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Nvidia | 5,638.19 Bn | 5,412.36 Bn | 72.14 Bn | 8.41 Bn |
| 2 | Taiwan Semiconductor Manufacturing | 2,452.80 Bn | 2,078.51 Bn | 27.22 Bn | 3.13 Bn |
| 3 | Broadcom | 1,695.44 Bn | 1,621.48 Bn | 20.46 Bn | 4.50 Bn |
| 4 | Micron Technology | 1,213.55 Bn | 1,152.31 Bn | 35.06 Bn | 1.72 Bn |
| 5 | Advanced Micro Devices | 1,034.54 Bn | 991.29 Bn | 6.20 Bn | 4.21 Bn |
| 6 | Asml Holding | 719.69 Bn | 675.53 Bn | 5.90 Bn | - |
| 7 | Intel | 601.78 Bn | 486.52 Bn | 6.51 Bn | 4.71 Bn |
| 8 | Lam Research | 434.81 Bn | 411.60 Bn | 3.48 Bn | 965.25 Mn |
| 9 | Applied Materials | 428.57 Bn | 394.02 Bn | 4.59 Bn | 1.51 Bn |
| 10 | Analog Devices | 202.14 Bn | 188.67 Bn | 2.71 Bn | 1.09 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Aug 1, 2026 | 1.09 Bn |
| May 2, 2026 | 1.06 Bn |
| Jan 31, 2026 | 1.05 Bn |
| Nov 1, 2025 | 996.61 Mn |
| Aug 2, 2025 | 971.72 Mn |
| May 3, 2025 | 933.67 Mn |
| Feb 1, 2025 | 938.99 Mn |
| Nov 2, 2024 | 846.74 Mn |
| Aug 3, 2024 | 819.92 Mn |
| May 4, 2024 | 793.91 Mn |
| Feb 3, 2024 | 887.98 Mn |
| Oct 28, 2023 | 1.01 Bn |
| Jul 29, 2023 | 1.03 Bn |
| Apr 29, 2023 | 1.02 Bn |
| Jan 28, 2023 | 993.52 Mn |
| Oct 29, 2022 | 1.04 Bn |
| Jul 30, 2022 | 1.15 Bn |
| Apr 30, 2022 | 1.03 Bn |
| Jan 29, 2022 | 1.04 Bn |
| Oct 30, 2021 | 1.02 Bn |
API Access
Analog Devices 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=ADI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "ADI", "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=ADI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();