Microvision (MVIS) Operating Expenses (2010 - 2026)
Microvision (MVIS) posted Operating Expenses of $24.85 million for Q2 2026, up 76.3% from $14.1 million a year earlier and up 4.2% from the prior quarter.
Microvision (MVIS) Operating Expenses (2010 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Operating Expenses at Microvision was $86.02 million, up 44.6% year-over-year; for FY2025, it came in at $65.49 million, down 20.8% from FY2024.
- Annual Operating Expenses shows a five-year compound annual growth rate of 33.7% (FY2020 to FY2025).
- In prior years, Microvision's Operating Expenses was $82.69 million in FY2024 (-11.4%), $93.36 million in FY2023 (+71.5%), $54.45 million in FY2022 (+17.4%) and $46.37 million in FY2021 (+202.9%).
- Quarterly Operating Expenses has run from a low of $10.8 million in Q3 2021 to a high of $26.39 million in Q1 2024 over five years.
- On a year-over-year basis, Operating Expenses has increased in each of the last three quarters, with growth averaging 2.7% over the last eight quarters.
- The strongest year-over-year quarter for Operating Expenses in the past five years was Q4 2021, with growth of 231.6%; the weakest was Q1 2025, with a decline of 46.6%.
- According to Business Quant data, Operating Expenses for the three prior quarters was $23.86 million (Q1 2026), $25.31 million (Q4 2025) and $12.01 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Apple | 4,865.08 Bn | 4,612.57 Bn | 54.77 Bn | 19.08 Bn |
| 2 | Cisco Systems | 424.71 Bn | 360.64 Bn | 11.06 Bn | 6.80 Bn |
| 3 | Dell Technologies | 344.52 Bn | 300.28 Bn | 9.83 Bn | 4.45 Bn |
| 4 | Arista Networks | 256.79 Bn | 210.25 Bn | 1.91 Bn | 532.30 Mn |
| 5 | Sandisk | 254.02 Bn | 242.55 Bn | 7.58 Bn | 545.00 Mn |
| 6 | Seagate Technology Holdings | 209.18 Bn | 204.17 Bn | 1.90 Bn | 2.07 Bn |
| 7 | Western Digital | 164.06 Bn | 152.19 Bn | 2.03 Bn | 465.00 Mn |
| 8 | Sony | 144.83 Bn | 95.22 Bn | 6.53 Bn | 14.83 Bn |
| 9 | Lumentum Holdings | 86.05 Bn | 77.87 Bn | 477.30 Mn | 198.00 Mn |
| 10 | Microvision | 35.03 Mn | -212.65 Mn | 642,000.00 | 24.85 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 24.85 Mn |
| Mar 31, 2026 | 23.86 Mn |
| Dec 31, 2025 | 25.31 Mn |
| Sep 30, 2025 | 12.01 Mn |
| Jun 30, 2025 | 14.10 Mn |
| Mar 31, 2025 | 14.08 Mn |
| Dec 31, 2024 | 16.01 Mn |
| Sep 30, 2024 | 15.31 Mn |
| Jun 30, 2024 | 24.98 Mn |
| Mar 31, 2024 | 26.39 Mn |
| Dec 31, 2023 | 24.09 Mn |
| Sep 30, 2023 | 24.32 Mn |
| Jun 30, 2023 | 23.53 Mn |
| Mar 31, 2023 | 21.43 Mn |
| Dec 31, 2022 | 13.96 Mn |
| Sep 30, 2022 | 13.06 Mn |
| Jun 30, 2022 | 13.97 Mn |
| Mar 31, 2022 | 13.47 Mn |
| Dec 31, 2021 | 13.13 Mn |
| Sep 30, 2021 | 10.80 Mn |
Microvision 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=operating-expenses&ticker=MVIS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "MVIS", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=operating-expenses&ticker=MVIS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();