Monolithic Power Systems (MPWR) Work In Process (2011 - 2026)
Monolithic Power Systems (MPWR) posted Work In Process of $306.55 million for Q2 2026, up 54.3% from $198.65 million a year earlier and up 16.5% from the prior quarter.
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Analysis
Monolithic Power Systems (MPWR) Work In Process (2011 - 2026) Analysis & Trends
At the end of FY2025, Monolithic Power Systems' Work In Process came in at $220.41 million, up 29.7% from FY2024.
- Annual Work In Process shows a five-year compound annual growth rate of 23.4% (FY2020 to FY2025).
- In prior years, Monolithic Power Systems' Work In Process was $169.98 million in FY2024 (+50.8%), $112.75 million in FY2023 (-15.9%), $134.07 million in FY2022 (+3.1%) and $130.03 million in FY2021 (+68.6%).
- The Q2 2026 figure stands as the highest quarterly Work In Process in data going back to Q4 2011.
- On a year-over-year basis, Work In Process has increased in each of the last ten quarters, with growth averaging 42.2% over the last eight quarters.
- The strongest year-over-year quarter for Work In Process in the past five years was Q3 2024, with growth of 93.1%; the weakest was Q3 2023, with a decline of 39.4%.
- According to Business Quant data, Work In Process for the three prior quarters was $263.07 million (Q1 2026), $220.41 million (Q4 2025) and $210.47 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Nvidia | 5,638.19 Bn | 5,412.36 Bn | 72.14 Bn |
| 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 |
| 4 | Micron Technology | 1,213.55 Bn | 1,152.31 Bn | 35.06 Bn |
| 5 | Advanced Micro Devices | 1,034.54 Bn | 991.29 Bn | 6.20 Bn |
| 6 | Asml Holding | 719.69 Bn | 675.53 Bn | 5.90 Bn |
| 7 | Intel | 601.78 Bn | 486.52 Bn | 6.51 Bn |
| 8 | Lam Research | 434.81 Bn | 411.60 Bn | 3.48 Bn |
| 9 | Applied Materials | 428.57 Bn | 394.02 Bn | 4.59 Bn |
| 10 | Monolithic Power Systems | 70.75 Bn | 65.44 Bn | 541.07 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 306.55 Mn |
| Mar 31, 2026 | 263.07 Mn |
| Dec 31, 2025 | 220.41 Mn |
| Sep 30, 2025 | 210.47 Mn |
| Jun 30, 2025 | 198.65 Mn |
| Mar 31, 2025 | 206.61 Mn |
| Dec 31, 2024 | 169.98 Mn |
| Sep 30, 2024 | 182.31 Mn |
| Jun 30, 2024 | 164.12 Mn |
| Mar 31, 2024 | 141.70 Mn |
| Dec 31, 2023 | 112.75 Mn |
| Sep 30, 2023 | 94.42 Mn |
| Jun 30, 2023 | 106.46 Mn |
| Mar 31, 2023 | 126.42 Mn |
| Dec 31, 2022 | 134.07 Mn |
| Sep 30, 2022 | 155.90 Mn |
| Jun 30, 2022 | 147.96 Mn |
| Mar 31, 2022 | 142.14 Mn |
| Dec 31, 2021 | 130.03 Mn |
| Sep 30, 2021 | 112.92 Mn |
API Access
Monolithic Power Systems Work In Process 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=work-in-process&ticker=MPWR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "work-in-process", "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=work-in-process&ticker=MPWR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();