Monolithic Power Systems (MPWR) Receivables (2009 - 2026)
Monolithic Power Systems (MPWR) reported Receivables of $343.62 million for Q2 2026, up 76.4% from $194.82 million a year earlier and up 13.7% from the prior quarter.
Monolithic Power Systems (MPWR) Receivables (2009 - 2026) Analysis & Trends
At the end of FY2025, Monolithic Power Systems posted Receivables of $315.63 million, up 35.7% from FY2024.
- Receivables has increased for six consecutive years, with a five-year compound annual growth rate of 36.4% (FY2020 to FY2025).
- By year, Receivables came in at $232.52 million in FY2024 (+1.2%), $229.86 million in FY2023 (+25.8%), $182.71 million in FY2022 (+74.3%) and $104.81 million in FY2021 (+56.8%).
- The Q2 2026 figure ranks as the highest quarterly Receivables in data going back to Q4 2010.
- Year over year, Receivables has now increased in each of the last seven quarters, with growth averaging 27.9% over the last eight quarters.
- The high point for year-over-year Receivables in five years was Q3 2022 (growth of 92.0%); the low point was Q3 2021 (a decline of 14.6%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $302.14 million (Q1 2026), $315.63 million (Q4 2025) and $241.56 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Receivables (Qtr) |
|---|---|---|---|---|---|
| 1 | SK hynix | 24,980.27 Bn | 24,964.04 Bn | 43.99 Bn | 31.02 Bn |
| 2 | Taiwan Semiconductor Manufacturing | 10,337.48 Bn | 9,919.73 Bn | 31.04 Bn | 15.18 Bn |
| 3 | Nvidia | 3,939.34 Bn | 3,713.50 Bn | 72.14 Bn | 63.30 Bn |
| 4 | Broadcom | 1,653.85 Bn | 1,579.89 Bn | 20.46 Bn | 20.89 Bn |
| 5 | Micron Technology | 880.27 Bn | 785.91 Bn | 47.05 Bn | 36.65 Bn |
| 6 | Advanced Micro Devices | 875.86 Bn | 824.07 Bn | 7.21 Bn | 9.21 Bn |
| 7 | Asml Holding | 576.26 Bn | 531.95 Bn | 5.90 Bn | 4.07 Bn |
| 8 | Intel | 316.79 Bn | 179.50 Bn | 7.10 Bn | 4.09 Bn |
| 9 | Applied Materials | 294.03 Bn | 294.03 Bn | 5.25 Bn | - |
| 10 | Monolithic Power Systems | 67.85 Bn | 62.72 Bn | 665.54 Mn | 461.63 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 461.63 Mn |
| Jun 30, 2026 | 343.62 Mn |
| Mar 31, 2026 | 302.14 Mn |
| Dec 31, 2025 | 315.63 Mn |
| Sep 30, 2025 | 241.56 Mn |
| Jun 30, 2025 | 194.82 Mn |
| Mar 31, 2025 | 214.87 Mn |
| Dec 31, 2024 | 232.52 Mn |
| Sep 30, 2024 | 164.70 Mn |
| Jun 30, 2024 | 157.89 Mn |
| Mar 31, 2024 | 194.43 Mn |
| Dec 31, 2023 | 229.86 Mn |
| Sep 30, 2023 | 185.82 Mn |
| Jun 30, 2023 | 169.20 Mn |
| Mar 31, 2023 | 184.30 Mn |
| Dec 31, 2022 | 182.71 Mn |
| Sep 30, 2022 | 153.40 Mn |
| Jun 30, 2022 | 125.51 Mn |
| Mar 31, 2022 | 120.32 Mn |
| Dec 31, 2021 | 104.81 Mn |
Monolithic Power Systems Receivables 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=receivables&ticker=MPWR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables", "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=receivables&ticker=MPWR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();