Mobileye Global (MBLY) Exchange Rate Effect (2022 - 2026)
Mobileye Global's Exchange Rate Effect was $7 million in Q2 2026, up 16.7% from $6 million a year earlier and up 250.0% from the prior quarter.
Mobileye Global (MBLY) Exchange Rate Effect (2022 - 2026) Analysis & Trends
On a trailing twelve-month basis, Mobileye Global's Exchange Rate Effect was $18 million through Jun 27, 2026, up 63.6% year-over-year; for FY2025, it came in at $17 million.
- In earlier years, Exchange Rate Effect was -$2 million in FY2024, -$5 million in FY2023, -$6 million in FY2022 and -$1 million in FY2021.
- Quarterly Exchange Rate Effect has moved between -$4 million (Q1 2023) and $9 million (Q4 2025) over five years.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | FX Effect (Qtr) |
|---|---|---|---|---|---|
| 1 | Aurora Innovation | 11.07 Bn | 6.10 Bn | -5.00 Mn | - |
| 2 | Mobileye Global | 6.05 Bn | -61.98 Mn | 235.00 Mn | 7.00 Mn |
| 3 | Pony AI | 2.84 Bn | 2.91 Bn | 6.35 Mn | -5.88 Mn |
| 4 | WeRide | 1.82 Bn | -1.20 Bn | 12.76 Mn | - |
| 5 | Securetech Innovations | 781.01 Mn | 780.42 Mn | - | 56,079.00 |
| 6 | Serve Robotics | 402.21 Mn | 402.21 Mn | -8.78 Mn | -1,000.00 |
| 7 | Kodiak AI | 372.81 Mn | -135.31 Mn | - | - |
| 8 | Richtech Robotics | 354.53 Mn | 354.53 Mn | 802,000.00 | - |
| 9 | ECARX Holdings | 326.03 Mn | -35.79 Mn | 44.50 Mn | -4.10 Mn |
| 10 | Palladyne AI | 253.58 Mn | 61.95 Mn | 1.68 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Jun 27, 2026 | 7.00 Mn |
| Mar 28, 2026 | 2.00 Mn |
| Dec 27, 2025 | 9.00 Mn |
| Jun 28, 2025 | 6.00 Mn |
| Mar 29, 2025 | 2.00 Mn |
| Sep 28, 2024 | 3.00 Mn |
| Jun 29, 2024 | -3.00 Mn |
| Mar 30, 2024 | -2.00 Mn |
| Dec 30, 2023 | 4.00 Mn |
| Sep 30, 2023 | -4.00 Mn |
| Jul 1, 2023 | -1.00 Mn |
| Apr 1, 2023 | -4.00 Mn |
| Oct 1, 2022 | -3.00 Mn |
| Jul 2, 2022 | -3.00 Mn |
Mobileye Global 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=MBLY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "exchange-rate-effect", "ticker": "MBLY", "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=MBLY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();