Monolithic Power Systems (MPWR) Receivables (2010 - 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 (2010 - 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 | Nvidia | 5,638.19 Bn | 5,412.36 Bn | 72.14 Bn | 63.30 Bn |
| 2 | Taiwan Semiconductor Manufacturing | 2,452.80 Bn | 2,078.51 Bn | 27.22 Bn | 13.95 Bn |
| 3 | Broadcom | 1,695.44 Bn | 1,621.48 Bn | 20.46 Bn | 20.89 Bn |
| 4 | Micron Technology | 1,213.55 Bn | 1,152.31 Bn | 35.06 Bn | 31.23 Bn |
| 5 | Advanced Micro Devices | 1,034.54 Bn | 991.29 Bn | 6.20 Bn | 7.28 Bn |
| 6 | Asml Holding | 719.69 Bn | 675.53 Bn | 5.90 Bn | 4.03 Bn |
| 7 | Intel | 601.78 Bn | 486.52 Bn | 6.51 Bn | 4.03 Bn |
| 8 | Lam Research | 434.81 Bn | 411.60 Bn | 3.48 Bn | 5.34 Bn |
| 9 | Applied Materials | 428.57 Bn | 394.02 Bn | 4.59 Bn | 7.69 Bn |
| 10 | Monolithic Power Systems | 70.75 Bn | 65.44 Bn | 541.07 Mn | 343.62 Mn |
Historic Data
| Date | Value |
|---|---|
| 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 |
| Sep 30, 2021 | 79.90 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();