Analog Devices (ADI) Accumulated Expenses (2009 - 2026)
Analog Devices (ADI) recorded Accumulated Expenses of $2.16 billion in fiscal Q3 2026 (quarter ended Aug 1, 2026), up 47.6% from $1.46 billion a year earlier and up 3.8% from the prior quarter.
Powered by 
Analysis
Analog Devices (ADI) Accumulated Expenses (2009 - 2026) Analysis & Trends
At the end of FY2025 (ended Nov 1, 2025), Analog Devices reported Accumulated Expenses of $1.65 billion, up 48.7% from FY2024.
- Annual Accumulated Expenses has a five-year compound annual growth rate of 11.5% (FY2020 to FY2025).
- Across earlier fiscal years, Accumulated Expenses came in at $1.11 billion in FY2024 (-18.2%), $1.35 billion in FY2023 (-15.2%), $1.59 billion in FY2022 (+7.9%) and $1.48 billion in FY2021 (+54.6%).
- The fiscal Q3 2026 figure is the highest quarterly Accumulated Expenses in data going back to fiscal Q3 2009.
- On a year-over-year basis, Accumulated Expenses has increased for seven consecutive quarters, with growth averaging 32.1% over the last eight quarters.
- Peak year-over-year performance for Accumulated Expenses in the last five years was growth of 54.6% in fiscal Q4 2021, against a decline of 29.6% in fiscal Q2 2024 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $2.08 billion (Q2 2026), $1.58 billion (Q1 2026) and $1.65 billion (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Nvidia | 5,638.19 Bn | 5,412.36 Bn | 72.14 Bn |
| 2 | Taiwan Semiconductor Manufacturing | 2,452.80 Bn | 2,078.51 Bn | 27.22 Bn |
| 3 | Broadcom | 1,695.44 Bn | 1,621.48 Bn | 20.46 Bn |
| 4 | Micron Technology | 1,213.55 Bn | 1,152.31 Bn | 35.06 Bn |
| 5 | Advanced Micro Devices | 1,034.54 Bn | 991.29 Bn | 6.20 Bn |
| 6 | Asml Holding | 719.69 Bn | 675.53 Bn | 5.90 Bn |
| 7 | Intel | 601.78 Bn | 486.52 Bn | 6.51 Bn |
| 8 | Lam Research | 434.81 Bn | 411.60 Bn | 3.48 Bn |
| 9 | Applied Materials | 428.57 Bn | 394.02 Bn | 4.59 Bn |
| 10 | Analog Devices | 202.14 Bn | 188.67 Bn | 2.71 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Aug 1, 2026 | 2.16 Bn |
| May 2, 2026 | 2.08 Bn |
| Jan 31, 2026 | 1.58 Bn |
| Nov 1, 2025 | 1.65 Bn |
| Aug 2, 2025 | 1.46 Bn |
| May 3, 2025 | 1.35 Bn |
| Feb 1, 2025 | 1.17 Bn |
| Nov 2, 2024 | 1.11 Bn |
| Aug 3, 2024 | 956.85 Mn |
| May 4, 2024 | 1.07 Bn |
| Feb 3, 2024 | 1.07 Bn |
| Oct 28, 2023 | 1.35 Bn |
| Jul 29, 2023 | 1.28 Bn |
| Apr 29, 2023 | 1.51 Bn |
| Jan 28, 2023 | 1.39 Bn |
| Oct 29, 2022 | 1.59 Bn |
| Jul 30, 2022 | 1.45 Bn |
| Apr 30, 2022 | 1.54 Bn |
| Jan 29, 2022 | 1.39 Bn |
| Oct 30, 2021 | 1.48 Bn |
API Access
Analog Devices Accumulated 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=accumulated-expenses&ticker=ADI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-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=accumulated-expenses&ticker=ADI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();