Monolithic Power Systems (MPWR) Change in Accured Expenses (2010 - 2026)
Monolithic Power Systems (MPWR) reported Change in Accured Expenses of $3.91 million for Q2 2026, down 21.3% from $4.98 million a year earlier and down 74.4% from the prior quarter.
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Analysis
Monolithic Power Systems (MPWR) Change in Accured Expenses (2010 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Monolithic Power Systems' Change in Accured Expenses came in at $23.45 million, up 14.0% year-over-year; for FY2025, it was $19.83 million, down 2.2% from FY2024.
- Change in Accured Expenses has a five-year compound annual growth rate of -0.1% (FY2020 to FY2025).
- By year, Change in Accured Expenses came in at $20.28 million in FY2024, -$31.19 million in FY2023, $28.51 million in FY2022 (+25.4%) and $22.74 million in FY2021 (+14.0%).
- Five-year quarterly Change in Accured Expenses spans a low of -$38.12 million in Q2 2023 and a high of $27.38 million in Q1 2022.
- Year over year, Change in Accured Expenses gained in three of the last five quarters, with growth averaging 164.4%.
- The high point for year-over-year Change in Accured Expenses in five years was Q2 2025 (growth of 746.1%); the low point was Q1 2023 (a decline of 36.1%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $15.3 million (Q1 2026), -$14.04 million (Q4 2025) and $18.28 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accured Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Nvidia | 5,638.19 Bn | 5,412.36 Bn | 72.14 Bn | 252.00 Mn |
| 2 | Taiwan Semiconductor Manufacturing | 2,452.80 Bn | 2,078.51 Bn | 27.22 Bn | - |
| 3 | Broadcom | 1,695.44 Bn | 1,621.48 Bn | 20.46 Bn | 372.00 Mn |
| 4 | Micron Technology | 1,213.55 Bn | 1,152.31 Bn | 35.06 Bn | 2.40 Bn |
| 5 | Advanced Micro Devices | 1,034.54 Bn | 991.29 Bn | 6.20 Bn | -652.00 Mn |
| 6 | Asml Holding | 719.69 Bn | 675.53 Bn | 5.90 Bn | - |
| 7 | Intel | 601.78 Bn | 486.52 Bn | 6.51 Bn | 803.00 Mn |
| 8 | Lam Research | 434.81 Bn | 411.60 Bn | 3.48 Bn | - |
| 9 | Applied Materials | 428.57 Bn | 394.02 Bn | 4.59 Bn | 633.00 Mn |
| 10 | Monolithic Power Systems | 70.75 Bn | 65.44 Bn | 541.07 Mn | 3.91 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 3.91 Mn |
| Mar 31, 2026 | 15.30 Mn |
| Dec 31, 2025 | -14.04 Mn |
| Sep 30, 2025 | 18.28 Mn |
| Jun 30, 2025 | 4.98 Mn |
| Mar 31, 2025 | 10.61 Mn |
| Dec 31, 2024 | -5.11 Mn |
| Sep 30, 2024 | 10.10 Mn |
| Jun 30, 2024 | 588,000.00 |
| Mar 31, 2024 | 14.70 Mn |
| Dec 31, 2023 | -8.83 Mn |
| Sep 30, 2023 | -1.74 Mn |
| Jun 30, 2023 | -38.12 Mn |
| Mar 31, 2023 | 17.51 Mn |
| Dec 31, 2022 | -16.54 Mn |
| Sep 30, 2022 | 20.53 Mn |
| Jun 30, 2022 | -2.86 Mn |
| Mar 31, 2022 | 27.38 Mn |
| Dec 31, 2021 | -7.29 Mn |
| Sep 30, 2021 | 18.63 Mn |
API Access
Monolithic Power Systems Change in Accured 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=change-in-accured-expenses&ticker=MPWR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-expenses", "ticker": "MPWR", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=change-in-accured-expenses&ticker=MPWR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();