Micron Technology (MU) Operating Expenses (2009 - 2026)
Micron Technology's Operating Expenses was $1.72 billion in fiscal Q3 2026 (quarter ended May 28, 2026), up 34.3% from $1.28 billion a year earlier and up 8.1% from the prior quarter.
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Analysis
Micron Technology (MU) Operating Expenses (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, Micron Technology's Operating Expenses was $6.19 billion through May 28, 2026, up 27.8% year-over-year; for FY2025 (ended Aug 28, 2025), it was $5.04 billion, up 10.6% from FY2024.
- Operating Expenses shows a five-year compound annual growth rate of 7.3% (FY2020 to FY2025).
- In earlier fiscal years, Operating Expenses was $4.56 billion in FY2024 (+8.4%), $4.21 billion in FY2023 (-0.6%), $4.23 billion in FY2022 (+4.6%) and $4.05 billion in FY2021 (+14.2%).
- The fiscal Q3 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 ten straight quarters, with growth averaging 20.4% over the last eight quarters.
- The best year-over-year quarter for Operating Expenses over five years was fiscal Q2 2026 (growth of 34.7%); 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 Q3 2026 was $1.59 billion (Q2 2026), $1.51 billion (Q1 2026) and $1.36 billion (Q4 2025).
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 | Arm Holdings | 326.25 Bn | 311.96 Bn | 1.25 Bn | -1.16 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| 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 |
| Sep 2, 2021 | 963.00 Mn |
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();