Micron Technology (MU) Operating Expenses (2009 - 2026)
Micron Technology's Operating Expenses was $2.77 billion in fiscal Q4 2026 (quarter ended Sep 3, 2026), up 103.7% from $1.36 billion a year earlier and up 60.9% from the prior quarter.
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Analysis
Micron Technology (MU) Operating Expenses (2009 - 2026) Analysis & Trends
For FY2026 (ended Sep 3, 2026), Operating Expenses at Micron Technology came in at $7.6 billion, up 50.7% from FY2025.
- Operating Expenses has now increased for three consecutive fiscal years, with a five-year compound annual growth rate of 13.4% (FY2021 to FY2026).
- In earlier fiscal years, Operating Expenses was $5.04 billion in FY2025 (+10.6%), $4.56 billion in FY2024 (+8.4%), $4.21 billion in FY2023 (-0.6%) and $4.23 billion in FY2022 (+4.6%).
- The fiscal Q4 2026 figure marks the highest quarterly Operating Expenses in data going back to fiscal Q1 2010.
- Compared with a year earlier, Operating Expenses has increased for 11 straight quarters, with growth averaging 29.9% over the last eight quarters.
- The best year-over-year quarter for Operating Expenses over five years was fiscal Q4 2026 (growth of 103.7%); the worst was fiscal Q3 2022 (a decline of 23.4%).
- Per Business Quant data, MU's Operating Expenses in the three fiscal quarters before Q4 2026 was $1.72 billion (Q3 2026), $1.59 billion (Q2 2026) and $1.51 billion (Q1 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Nvidia | 5,084.14 Bn | 4,858.30 Bn | 72.14 Bn | 8.41 Bn |
| 2 | Taiwan Semiconductor Manufacturing | 2,168.94 Bn | 1,795.12 Bn | 27.22 Bn | 3.13 Bn |
| 3 | Broadcom | 1,535.70 Bn | 1,461.75 Bn | 20.46 Bn | 4.50 Bn |
| 4 | Micron Technology | 992.51 Bn | 898.15 Bn | 47.05 Bn | 2.77 Bn |
| 5 | Advanced Micro Devices | 843.40 Bn | 800.15 Bn | 6.20 Bn | 4.21 Bn |
| 6 | Asml Holding | 605.80 Bn | 561.49 Bn | 5.90 Bn | - |
| 7 | Intel | 438.54 Bn | 323.27 Bn | 6.51 Bn | 4.71 Bn |
| 8 | Applied Materials | 299.38 Bn | 264.82 Bn | 4.59 Bn | 1.51 Bn |
| 9 | Lam Research | 287.43 Bn | 263.48 Bn | 4.30 Bn | 1.02 Bn |
| 10 | Texas Instruments | 260.14 Bn | 235.01 Bn | 3.89 Bn | 1.01 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 3, 2026 | 2.77 Bn |
| May 28, 2026 | 1.72 Bn |
| Feb 26, 2026 | 1.59 Bn |
| Nov 27, 2025 | 1.51 Bn |
| Aug 28, 2025 | 1.36 Bn |
| May 29, 2025 | 1.28 Bn |
| Feb 27, 2025 | 1.18 Bn |
| Nov 28, 2024 | 1.18 Bn |
| Aug 29, 2024 | 1.20 Bn |
| May 30, 2024 | 1.14 Bn |
| Feb 29, 2024 | 1.11 Bn |
| Nov 30, 2023 | 1.11 Bn |
| Aug 31, 2023 | 942.00 Mn |
| Jun 1, 2023 | 1.05 Bn |
| Mar 2, 2023 | 1.11 Bn |
| Dec 1, 2022 | 1.11 Bn |
| Sep 1, 2022 | 1.12 Bn |
| Jun 2, 2022 | 1.04 Bn |
| Mar 3, 2022 | 1.06 Bn |
| Dec 2, 2021 | 1.01 Bn |
API Access
Micron Technology 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=MU&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "MU", "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=MU&period=max&api_key=YOUR_API_KEY");
const data = await res.json();