Micron Technology (MU) Total Liabilities (2009 - 2026)
Micron Technology's Total Liabilities came in at $57.51 billion for fiscal Q4 2026 (quarter ended Sep 3, 2026), up 100.9% from $28.63 billion a year earlier and up 72.2% from the prior quarter.
Micron Technology (MU) Total Liabilities (2009 - 2026) Analysis & Trends
Going back to fiscal Q4 2009, Micron Technology's Total Liabilities data covers 67 quarters.
- Total Liabilities has increased in each of the last eight fiscal years, with a five-year compound annual growth rate of 31.0% (FY2021 to FY2026).
- Going back by fiscal year, Total Liabilities was $28.63 billion in FY2025 (+17.9%), $24.29 billion in FY2024 (+20.6%), $20.13 billion in FY2023 (+22.9%) and $16.38 billion in FY2022 (+9.8%).
- The fiscal Q4 2026 figure represents the highest quarterly Total Liabilities in data going back to fiscal Q4 2009.
- Year-over-year, Total Liabilities has increased for 21 consecutive quarters, with growth averaging 28.0% over the last eight quarters.
- Over the past five years, the year-over-year growth in Total Liabilities ranged from 8.7% (fiscal Q3 2024) to 100.9% (fiscal Q4 2026).
- Business Quant data shows MU's Total Liabilities at $33.39 billion (Q3 2026), $29.05 billion (Q2 2026) and $27.17 billion (Q1 2026) in the three fiscal quarters before Q4 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | SK hynix | 24,980.27 Bn | 24,964.04 Bn | 43.99 Bn | 55.89 Bn |
| 2 | Taiwan Semiconductor Manufacturing | 10,337.48 Bn | 9,919.73 Bn | 31.04 Bn | 95.92 Bn |
| 3 | Nvidia | 3,939.34 Bn | 3,713.50 Bn | 72.14 Bn | 91.29 Bn |
| 4 | Broadcom | 1,653.85 Bn | 1,579.89 Bn | 20.46 Bn | 88.46 Bn |
| 5 | Micron Technology | 880.27 Bn | 785.91 Bn | 47.05 Bn | 57.51 Bn |
| 6 | Advanced Micro Devices | 875.86 Bn | 824.07 Bn | 7.21 Bn | 26.42 Bn |
| 7 | Asml Holding | 576.26 Bn | 531.95 Bn | 5.90 Bn | 36.36 Bn |
| 8 | Intel | 316.79 Bn | 179.50 Bn | 7.10 Bn | 97.02 Bn |
| 9 | Applied Materials | 294.03 Bn | 294.03 Bn | 5.25 Bn | 19.29 Bn |
| 10 | Lam Research | 282.21 Bn | 258.26 Bn | 4.30 Bn | 12.44 Bn |
Historic Data
| Date | Value |
|---|---|
| Sep 3, 2026 | 57.51 Bn |
| May 28, 2026 | 33.39 Bn |
| Feb 26, 2026 | 29.05 Bn |
| Nov 27, 2025 | 27.17 Bn |
| Aug 28, 2025 | 28.63 Bn |
| May 29, 2025 | 27.65 Bn |
| Feb 27, 2025 | 24.42 Bn |
| Nov 28, 2024 | 24.66 Bn |
| Aug 29, 2024 | 24.29 Bn |
| May 30, 2024 | 22.03 Bn |
| Feb 29, 2024 | 21.85 Bn |
| Nov 30, 2023 | 20.89 Bn |
| Aug 31, 2023 | 20.13 Bn |
| Jun 1, 2023 | 20.28 Bn |
| Mar 2, 2023 | 19.26 Bn |
| Dec 1, 2022 | 18.57 Bn |
| Sep 1, 2022 | 16.38 Bn |
| Jun 2, 2022 | 16.02 Bn |
| Mar 3, 2022 | 15.85 Bn |
| Dec 2, 2021 | 15.34 Bn |
Micron Technology Total Liabilities 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=total-liabilities&ticker=MU&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=MU&period=max&api_key=YOUR_API_KEY");
const data = await res.json();