Advanced Micro Devices (AMD) Accumulated Expenses (2009 - 2026)
Advanced Micro Devices (AMD) posted Accumulated Expenses of $6.23 billion for Q3 2026, up 21.9% from $5.11 billion a year earlier and up 12.4% from the prior quarter.
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Analysis
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%).
- The Q3 2026 figure stands as the highest quarterly Accumulated Expenses in data going back to Q2 2009.
- On a year-over-year basis, Accumulated Expenses has increased in each of the last 12 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 $5.55 billion (Q2 2026), $5.79 billion (Q1 2026) and $5.25 billion (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | SK hynix | 24,980.27 Bn | 24,964.04 Bn | 43.99 Bn |
| 2 | Taiwan Semiconductor Manufacturing | 10,337.48 Bn | 9,919.73 Bn | 31.04 Bn |
| 3 | Nvidia | 3,939.34 Bn | 3,713.50 Bn | 72.14 Bn |
| 4 | Broadcom | 1,653.85 Bn | 1,579.89 Bn | 20.46 Bn |
| 5 | Micron Technology | 880.27 Bn | 785.91 Bn | 47.05 Bn |
| 6 | Advanced Micro Devices | 875.86 Bn | 824.07 Bn | 7.21 Bn |
| 7 | Asml Holding | 576.26 Bn | 531.95 Bn | 5.90 Bn |
| 8 | Intel | 316.79 Bn | 179.50 Bn | 7.10 Bn |
| 9 | Applied Materials | 294.03 Bn | 294.03 Bn | 5.25 Bn |
| 10 | Lam Research | 282.21 Bn | 258.26 Bn | 4.30 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 26, 2026 | 6.23 Bn |
| 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 |
API Access
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_KEYimport 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();