Microvision (MVIS) Exchange Rate Effect (2024 - 2026)
Microvision's Exchange Rate Effect came in at $185,000 for Q2 2026, down 22.3% from $238,000 a year earlier.
Microvision (MVIS) Exchange Rate Effect (2024 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Microvision reported Exchange Rate Effect of $108,000, down 15.0% year-over-year; for FY2025, it came in at $316,000.
- Going back by year, Exchange Rate Effect was -$166,000 in FY2024 and $267,000 in FY2023.
- The five-year range for quarterly Exchange Rate Effect is -$299,000 (Q4 2024) to $238,000 (Q2 2025).
- Business Quant data shows MVIS's Exchange Rate Effect at -$74,000 (Q1 2026), -$153,000 (Q4 2025) and $150,000 (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | FX Effect (Qtr) |
|---|---|---|---|---|---|
| 1 | Apple | 5,079.97 Bn | 4,827.46 Bn | 54.77 Bn | - |
| 2 | Cisco Systems | 420.25 Bn | 356.18 Bn | 11.06 Bn | 28.00 Mn |
| 3 | Dell Technologies | 292.20 Bn | 247.96 Bn | 9.83 Bn | -22.00 Mn |
| 4 | Arista Networks | 217.24 Bn | 170.70 Bn | 1.91 Bn | -1.00 Mn |
| 5 | Sandisk | 180.75 Bn | 169.27 Bn | 7.58 Bn | - |
| 6 | Sony | 160.45 Bn | 100.21 Bn | 6.53 Bn | 650.39 Mn |
| 7 | Seagate Technology Holdings | 142.99 Bn | 137.98 Bn | 1.90 Bn | - |
| 8 | Western Digital | 128.64 Bn | 118.47 Bn | 2.53 Bn | - |
| 9 | Hewlett Packard Enterprise | 75.30 Bn | 53.18 Bn | 4.93 Bn | -30.00 Mn |
| 10 | Microvision | 27.55 Mn | -220.12 Mn | 642,000.00 | 185,000.00 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 185,000.00 |
| Mar 31, 2026 | -74,000.00 |
| Dec 31, 2025 | -153,000.00 |
| Sep 30, 2025 | 150,000.00 |
| Jun 30, 2025 | 238,000.00 |
| Mar 31, 2025 | 81,000.00 |
| Dec 31, 2024 | -299,000.00 |
| Sep 30, 2024 | 107,000.00 |
| Jun 30, 2024 | 57,000.00 |
| Mar 31, 2024 | -31,000.00 |
Microvision Exchange Rate Effect 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=exchange-rate-effect&ticker=MVIS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "exchange-rate-effect", "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=exchange-rate-effect&ticker=MVIS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();