Advanced Micro Devices (AMD) Accumulated Expenses (2009 - 2026)
Advanced Micro Devices (AMD) posted Accumulated Expenses of $5.55 billion for Q2 2026, up 23.8% from $4.48 billion a year earlier but down 4.1% from the prior quarter.
Advanced Micro Devices (AMD) Accumulated Expenses (2009 - 2026) Analysis & Trends
At the end of FY2025, Advanced Micro Devices' Accumulated Expenses came in at $5.25 billion, up 23.2% from FY2024.
- Annual Accumulated Expenses has increased for nine consecutive years, with a five-year compound annual growth rate of 23.9% (FY2020 to FY2025).
- In prior years, Advanced Micro Devices' Accumulated Expenses was $4.26 billion in FY2024 (+38.2%), $3.08 billion in FY2023 (+0.2%), $3.08 billion in FY2022 (+26.9%) and $2.42 billion in FY2021 (+35.0%).
- Quarterly Accumulated Expenses has run from a low of $2.05 billion in Q3 2021 to a high of $5.79 billion in Q1 2026 over five years.
- On a year-over-year basis, Accumulated Expenses has increased in each of the last 11 quarters, with growth averaging 27.1% over the last eight quarters.
- The strongest year-over-year quarter for Accumulated Expenses in the past five years was Q3 2022, with growth of 75.7%; the weakest was Q3 2023, with a decline of 6.2%.
- According to Business Quant data, Accumulated Expenses for the three prior quarters was $5.79 billion (Q1 2026), $5.25 billion (Q4 2025) and $5.11 billion (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Nvidia | 5,114.26 Bn | 4,888.42 Bn | 72.14 Bn |
| 2 | Taiwan Semiconductor Manufacturing | 2,138.81 Bn | 1,764.99 Bn | 27.22 Bn |
| 3 | Broadcom | 1,543.15 Bn | 1,469.19 Bn | 20.46 Bn |
| 4 | Micron Technology | 968.69 Bn | 874.33 Bn | 47.05 Bn |
| 5 | Advanced Micro Devices | 828.94 Bn | 785.69 Bn | 6.20 Bn |
| 6 | Asml Holding | 601.46 Bn | 557.15 Bn | 5.90 Bn |
| 7 | Intel | 431.13 Bn | 315.86 Bn | 6.51 Bn |
| 8 | Applied Materials | 298.06 Bn | 263.50 Bn | 4.59 Bn |
| 9 | Lam Research | 287.49 Bn | 263.54 Bn | 4.30 Bn |
| 10 | Texas Instruments | 255.25 Bn | 233.08 Bn | 3.35 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 27, 2026 | 5.55 Bn |
| Mar 28, 2026 | 5.79 Bn |
| Dec 27, 2025 | 5.25 Bn |
| Sep 27, 2025 | 5.11 Bn |
| Jun 28, 2025 | 4.48 Bn |
| Mar 29, 2025 | 3.88 Bn |
| Dec 28, 2024 | 4.26 Bn |
| Sep 28, 2024 | 4.12 Bn |
| Jun 29, 2024 | 3.63 Bn |
| Mar 30, 2024 | 3.44 Bn |
| Dec 30, 2023 | 3.08 Bn |
| Sep 30, 2023 | 3.38 Bn |
| Jul 1, 2023 | 2.97 Bn |
| Apr 1, 2023 | 3.17 Bn |
| Dec 31, 2022 | 3.08 Bn |
| Sep 24, 2022 | 3.60 Bn |
| Jun 25, 2022 | 3.07 Bn |
| Mar 26, 2022 | 3.07 Bn |
| Dec 25, 2021 | 2.42 Bn |
| Sep 25, 2021 | 2.05 Bn |
Advanced Micro 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=AMD&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "ticker": "AMD", "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=AMD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();