Microchip Technology (MCHP) Total Liabilities (2009 - 2026)
Microchip Technology's Total Liabilities was $8.02 billion in fiscal Q2 2027 (quarter ended Sep 30, 2026), up 3.2% from $7.77 billion a year earlier and up 0.8% from the prior quarter.
Microchip Technology (MCHP) Total Liabilities (2009 - 2026) Analysis & Trends
At the end of FY2026 (ended Mar 31, 2026), Total Liabilities at Microchip Technology came in at $7.94 billion, down 4.3% from FY2025.
- Total Liabilities has now declined for seven consecutive fiscal years, with a five-year compound annual growth rate of -6.6% (FY2021 to FY2026).
- In earlier fiscal years, Total Liabilities was $8.3 billion in FY2025 (-10.0%), $9.22 billion in FY2024 (-6.5%), $9.86 billion in FY2023 (-4.3%) and $10.3 billion in FY2022 (-7.5%).
- The fiscal Q2 2027 figure marks the highest quarterly Total Liabilities since fiscal Q1 2026.
- Compared with a year earlier, Total Liabilities was higher in two of the last eight quarters, with an average decline of 7.1%.
- The best year-over-year quarter for Total Liabilities over five years was fiscal Q3 2025 (growth of 5.9%); the worst was fiscal Q3 2026 (a decline of 19.1%).
- Per Business Quant data, MCHP's Total Liabilities in the three fiscal quarters before Q2 2027 was $7.96 billion (Q1 2027), $7.94 billion (Q4 2026) and $7.77 billion (Q3 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 | Microchip Technology | 33.57 Bn | 32.35 Bn | 1.07 Bn | 8.02 Bn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 8.02 Bn |
| Jun 30, 2026 | 7.96 Bn |
| Mar 31, 2026 | 7.94 Bn |
| Dec 31, 2025 | 7.77 Bn |
| Sep 30, 2025 | 7.77 Bn |
| Jun 30, 2025 | 8.12 Bn |
| Mar 31, 2025 | 8.30 Bn |
| Dec 31, 2024 | 9.60 Bn |
| Sep 30, 2024 | 9.35 Bn |
| Jun 30, 2024 | 9.43 Bn |
| Mar 31, 2024 | 9.22 Bn |
| Dec 31, 2023 | 9.06 Bn |
| Sep 30, 2023 | 9.63 Bn |
| Jun 30, 2023 | 9.66 Bn |
| Mar 31, 2023 | 9.86 Bn |
| Dec 31, 2022 | 9.80 Bn |
| Sep 30, 2022 | 10.04 Bn |
| Jun 30, 2022 | 10.23 Bn |
| Mar 31, 2022 | 10.30 Bn |
| Dec 31, 2021 | 10.24 Bn |
Microchip 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=MCHP&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "ticker": "MCHP", "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=MCHP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();