Mobileye Global (MBLY) Operating Expenses (2021 - 2026)
Mobileye Global's Operating Expenses came in at $265 million for Q2 2026, down 18.7% from $326 million a year earlier and down 93.6% from the prior quarter.
Mobileye Global (MBLY) Operating Expenses (2021 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 27, 2026, Mobileye Global reported Operating Expenses of $5.13 billion, up 27.6% year-over-year; for FY2025, it came in at $1.34 billion, down 66.1% from FY2024.
- Operating Expenses carries a five-year compound annual growth rate of 17.9% (FY2020 to FY2025).
- Going back by year, Operating Expenses was $3.97 billion in FY2024 (+267.2%), $1.08 billion in FY2023 (+12.6%), $959 million in FY2022 (+34.7%) and $712 million in FY2021 (+20.9%).
- The Q2 2026 figure represents the lowest quarterly Operating Expenses since Q3 2023.
- Year-over-year, Operating Expenses increased in four of the last six quarters, with an average decline of 10.6%.
- The fastest year-over-year change in Operating Expenses over five years came in Q3 2022 (growth of 39.9%), and the weakest in Q3 2025 (a decline of 88.4%).
- Business Quant data shows MBLY's Operating Expenses at $4.17 billion (Q1 2026), $342 million (Q4 2025) and $352 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Aurora Innovation | 11.07 Bn | 6.10 Bn | -5.00 Mn | 261.00 Mn |
| 2 | Mobileye Global | 6.05 Bn | -61.98 Mn | 235.00 Mn | 265.00 Mn |
| 3 | Pony AI | 2.84 Bn | 2.91 Bn | 6.35 Mn | -72.09 Mn |
| 4 | WeRide | 1.82 Bn | -1.20 Bn | 12.76 Mn | -73.92 Mn |
| 5 | Securetech Innovations | 781.01 Mn | 780.42 Mn | - | - |
| 6 | Serve Robotics | 402.21 Mn | 402.21 Mn | -8.78 Mn | 57.29 Mn |
| 7 | Kodiak AI | 372.81 Mn | -135.31 Mn | - | 47.18 Mn |
| 8 | Richtech Robotics | 354.53 Mn | 354.53 Mn | 802,000.00 | 14.07 Mn |
| 9 | ECARX Holdings | 326.03 Mn | -35.79 Mn | 44.50 Mn | -50.70 Mn |
| 10 | Palladyne AI | 253.58 Mn | 61.95 Mn | 1.68 Mn | 19.20 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 27, 2026 | 265.00 Mn |
| Mar 28, 2026 | 4.17 Bn |
| Dec 27, 2025 | 342.00 Mn |
| Sep 27, 2025 | 352.00 Mn |
| Jun 28, 2025 | 326.00 Mn |
| Mar 29, 2025 | 324.00 Mn |
| Dec 28, 2024 | 327.00 Mn |
| Sep 28, 2024 | 3.04 Bn |
| Jun 29, 2024 | 303.00 Mn |
| Mar 30, 2024 | 292.00 Mn |
| Dec 30, 2023 | 271.00 Mn |
| Sep 30, 2023 | 264.00 Mn |
| Jul 1, 2023 | 257.00 Mn |
| Apr 1, 2023 | 288.00 Mn |
| Dec 31, 2022 | 276.00 Mn |
| Oct 1, 2022 | 242.00 Mn |
| Jul 2, 2022 | 219.00 Mn |
| Apr 2, 2022 | 222.00 Mn |
| Dec 25, 2021 | 198.00 Mn |
| Sep 25, 2021 | 173.00 Mn |
Mobileye Global 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=MBLY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=MBLY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();