Monolithic Power Systems (MPWR) Other Operating Expenses (2010 - 2022)
Monolithic Power Systems' Other Operating Expenses was $3.19 million in Q4 2022, compared with -$420,000 a year earlier and up 55.3% from the prior quarter.
Monolithic Power Systems (MPWR) Other Operating Expenses (2010 - 2022) Analysis & Trends
For FY2022, Other Operating Expenses at Monolithic Power Systems came in at $8 million, up 28.5% from FY2021.
- Other Operating Expenses shows a five-year compound annual growth rate of 45.1% (FY2017 to FY2022).
- In earlier years, Other Operating Expenses was $6.23 million in FY2021 (-20.2%), $7.8 million in FY2020 (+216.7%), $2.46 million in FY2019 (+28.2%) and $1.92 million in FY2018 (+54.6%).
- The Q4 2022 figure marks the highest quarterly Other Operating Expenses since Q3 2021.
- Compared with a year earlier, Other Operating Expenses was higher in 1 of the last six quarters, with an average decline of 6.1%.
- The best year-over-year quarter for Other Operating Expenses over five years was Q1 2020 (growth of 742.1%); the worst was Q1 2019 (a decline of 47.6%).
- Per Business Quant data, MPWR's Other Operating Expenses in the three quarters before Q4 2022 was $2.05 million (Q3 2022), $1.27 million (Q2 2022) and $1.49 million (Q1 2022).
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
| Date | Value |
|---|---|
| Dec 31, 2022 | 3.19 Mn |
| Sep 30, 2022 | 2.05 Mn |
| Jun 30, 2022 | 1.27 Mn |
| Mar 31, 2022 | 1.49 Mn |
| Dec 31, 2021 | -420,000.00 |
| Sep 30, 2021 | 3.42 Mn |
| Jun 30, 2021 | 1.60 Mn |
| Mar 31, 2021 | 1.63 Mn |
| Dec 31, 2020 | 1.54 Mn |
| Sep 30, 2020 | 1.84 Mn |
| Jun 30, 2020 | 2.08 Mn |
| Mar 31, 2020 | 2.34 Mn |
| Dec 31, 2019 | 991,000.00 |
| Sep 30, 2019 | 692,000.00 |
| Jun 30, 2019 | 503,000.00 |
| Mar 31, 2019 | 278,000.00 |
| Dec 31, 2018 | 409,000.00 |
| Sep 30, 2018 | 343,000.00 |
| Jun 30, 2018 | 640,000.00 |
| Mar 31, 2018 | 531,000.00 |
Monolithic Power Systems Other Operating 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=other-operating-expenses&ticker=MPWR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-operating-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=other-operating-expenses&ticker=MPWR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();