Monolithic Power Systems (MPWR) Cash & Equivalents (2010 - 2026)
Monolithic Power Systems (MPWR) posted Cash & Equivalents of $1.01 billion for Q2 2026, up 27.7% from $787.38 million a year earlier but down 5.4% from the prior quarter.
Monolithic Power Systems (MPWR) Cash & Equivalents (2010 - 2026) Analysis & Trends
At the end of FY2025, Monolithic Power Systems' Cash & Equivalents came in at $1.1 billion, up 58.9% from FY2024.
- Annual Cash & Equivalents has increased for four consecutive years, with a five-year compound annual growth rate of 26.8% (FY2020 to FY2025).
- In prior years, Monolithic Power Systems' Cash & Equivalents was $691.82 million in FY2024 (+31.1%), $527.84 million in FY2023 (+82.9%), $288.61 million in FY2022 (+52.5%) and $189.27 million in FY2021 (-43.5%).
- Quarterly Cash & Equivalents has run from a low of $189.27 million in Q4 2021 to a high of $1.1 billion in Q4 2025 over five years.
- On a year-over-year basis, Cash & Equivalents has increased in each of the last nine quarters, with growth averaging 47.3% over the last eight quarters.
- The strongest year-over-year quarter for Cash & Equivalents in the past five years was Q1 2023, with growth of 87.6%; the weakest was Q4 2021, with a decline of 43.5%.
- According to Business Quant data, Cash & Equivalents for the three prior quarters was $1.06 billion (Q1 2026), $1.1 billion (Q4 2025) and $1.08 billion (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Nvidia | 5,638.19 Bn | 5,412.36 Bn | 72.14 Bn | 22.44 Bn |
| 2 | Taiwan Semiconductor Manufacturing | 2,452.80 Bn | 2,078.51 Bn | 27.22 Bn | 99.16 Bn |
| 3 | Broadcom | 1,695.44 Bn | 1,621.48 Bn | 20.46 Bn | 23.98 Bn |
| 4 | Micron Technology | 1,213.55 Bn | 1,152.31 Bn | 35.06 Bn | 25.00 Bn |
| 5 | Advanced Micro Devices | 1,034.54 Bn | 991.29 Bn | 6.20 Bn | 5.09 Bn |
| 6 | Asml Holding | 719.69 Bn | 675.53 Bn | 5.90 Bn | 15.03 Bn |
| 7 | Intel | 601.78 Bn | 486.52 Bn | 6.51 Bn | 12.87 Bn |
| 8 | Lam Research | 434.81 Bn | 411.60 Bn | 3.48 Bn | 5.58 Bn |
| 9 | Applied Materials | 428.57 Bn | 394.02 Bn | 4.59 Bn | 7.04 Bn |
| 10 | Monolithic Power Systems | 70.75 Bn | 65.44 Bn | 541.07 Mn | 1.01 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.01 Bn |
| Mar 31, 2026 | 1.06 Bn |
| Dec 31, 2025 | 1.10 Bn |
| Sep 30, 2025 | 1.08 Bn |
| Jun 30, 2025 | 787.38 Mn |
| Mar 31, 2025 | 637.35 Mn |
| Dec 31, 2024 | 691.82 Mn |
| Sep 30, 2024 | 700.35 Mn |
| Jun 30, 2024 | 550.48 Mn |
| Mar 31, 2024 | 488.27 Mn |
| Dec 31, 2023 | 527.84 Mn |
| Sep 30, 2023 | 421.18 Mn |
| Jun 30, 2023 | 506.96 Mn |
| Mar 31, 2023 | 488.97 Mn |
| Dec 31, 2022 | 288.61 Mn |
| Sep 30, 2022 | 316.21 Mn |
| Jun 30, 2022 | 342.87 Mn |
| Mar 31, 2022 | 260.60 Mn |
| Dec 31, 2021 | 189.27 Mn |
| Sep 30, 2021 | 226.09 Mn |
Monolithic Power Systems Cash & Equivalents 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=cash-and-equivalents&ticker=MPWR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=MPWR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();