Microchip Technology (MCHP) Accumulated Expenses (2009 - 2026)
Microchip Technology's Accumulated Expenses came in at $962.4 million for fiscal Q2 2027 (quarter ended Sep 30, 2026), up 10.1% from $873.8 million a year earlier but down 9.7% from the prior quarter.
Microchip Technology (MCHP) Accumulated Expenses (2009 - 2026) Analysis & Trends
At the end of FY2026 (ended Mar 31, 2026), Microchip Technology's Accumulated Expenses was $930.7 million, down 6.4% from FY2025.
- Accumulated Expenses has declined in each of the last three fiscal years, though with a five-year compound annual growth rate of 3.2% (FY2021 to FY2026).
- Going back by fiscal year, Accumulated Expenses was $994.5 million in FY2025 (-23.9%), $1.31 billion in FY2024 (-1.2%), $1.32 billion in FY2023 (+25.5%) and $1.05 billion in FY2022 (+32.7%).
- The five-year range for quarterly Accumulated Expenses is $873.8 million (fiscal Q2 2026) to $1.54 billion (fiscal Q1 2024).
- Year-over-year, Accumulated Expenses increased in two of the last eight quarters, with an average decline of 12.6%.
- The fastest year-over-year change in Accumulated Expenses over five years came in fiscal Q1 2023 (growth of 46.7%), and the weakest in fiscal Q4 2025 (a decline of 23.9%).
- Business Quant data shows MCHP's Accumulated Expenses at $1.07 billion (Q1 2027), $930.7 million (Q4 2026) and $898.7 million (Q3 2026) in the three fiscal quarters before Q2 2027.
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 | Microchip Technology | 33.57 Bn | 32.35 Bn | 1.07 Bn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 962.40 Mn |
| Jun 30, 2026 | 1.07 Bn |
| Mar 31, 2026 | 930.70 Mn |
| Dec 31, 2025 | 898.70 Mn |
| Sep 30, 2025 | 873.80 Mn |
| Jun 30, 2025 | 1.03 Bn |
| Mar 31, 2025 | 994.50 Mn |
| Dec 31, 2024 | 1.13 Bn |
| Sep 30, 2024 | 1.14 Bn |
| Jun 30, 2024 | 1.32 Bn |
| Mar 31, 2024 | 1.31 Bn |
| Dec 31, 2023 | 1.39 Bn |
| Sep 30, 2023 | 1.47 Bn |
| Jun 30, 2023 | 1.54 Bn |
| Mar 31, 2023 | 1.32 Bn |
| Dec 31, 2022 | 1.26 Bn |
| Sep 30, 2022 | 1.16 Bn |
| Jun 30, 2022 | 1.18 Bn |
| Mar 31, 2022 | 1.05 Bn |
| Dec 31, 2021 | 917.40 Mn |
Microchip Technology 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=MCHP&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "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=accumulated-expenses&ticker=MCHP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();