Arbe Robotics (ARBE) Operating Expenses (2020 - 2026)
Arbe Robotics (ARBE) posted Operating Expenses of $9.83 million for Q2 2026, down 13.0% from $11.3 million a year earlier and down 12.4% from the prior quarter.
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Analysis
Arbe Robotics (ARBE) Operating Expenses (2020 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Operating Expenses at Arbe Robotics was $43.82 million, down 10.9% year-over-year; for FY2025, it came in at $47.4 million, down 3.0% from FY2024.
- Annual Operating Expenses shows a five-year compound annual growth rate of 26.0% (FY2020 to FY2025).
- In prior years, Arbe Robotics' Operating Expenses was $48.87 million in FY2024 (+4.3%), $46.85 million in FY2023 (-6.2%), $49.97 million in FY2022 (+46.6%) and $34.09 million in FY2021 (+128.0%).
- The Q2 2026 figure stands as the lowest quarterly Operating Expenses since Q3 2021.
- On a year-over-year basis, Operating Expenses has declined in each of the last five quarters, with an average decline of 3.9% 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 264.3%; the weakest was Q4 2023, with a decline of 15.2%.
- According to Business Quant data, Operating Expenses for the three prior quarters was $11.22 million (Q1 2026), $11.51 million (Q4 2025) and $11.27 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Nvidia | 4,516.52 Bn | 4,290.68 Bn | 72.14 Bn | 8.41 Bn |
| 2 | Taiwan Semiconductor Manufacturing | 1,945.01 Bn | 1,569.87 Bn | 27.22 Bn | 3.13 Bn |
| 3 | Broadcom | 1,397.97 Bn | 1,324.02 Bn | 20.46 Bn | 4.50 Bn |
| 4 | Micron Technology | 778.23 Bn | 683.86 Bn | 47.05 Bn | 2.77 Bn |
| 5 | Advanced Micro Devices | 731.93 Bn | 680.14 Bn | 7.21 Bn | 4.38 Bn |
| 6 | Asml Holding | 553.38 Bn | 509.07 Bn | 5.90 Bn | - |
| 7 | Intel | 294.27 Bn | 140.33 Bn | 7.10 Bn | 4.57 Bn |
| 8 | Applied Materials | 264.14 Bn | 229.58 Bn | 4.59 Bn | 1.51 Bn |
| 9 | Texas Instruments | 253.31 Bn | 228.18 Bn | 3.89 Bn | 1.01 Bn |
| 10 | Arbe Robotics | 48.32 Mn | -143.94 Mn | -6,000.00 | 9.83 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 9.83 Mn |
| Mar 31, 2026 | 11.22 Mn |
| Dec 31, 2025 | 11.51 Mn |
| Sep 30, 2025 | 11.27 Mn |
| Jun 30, 2025 | 11.30 Mn |
| Mar 31, 2025 | 13.06 Mn |
| Dec 31, 2024 | 12.63 Mn |
| Sep 30, 2024 | 12.18 Mn |
| Jun 30, 2024 | 11.58 Mn |
| Mar 31, 2024 | 12.49 Mn |
| Dec 31, 2023 | 11.91 Mn |
| Sep 30, 2023 | 11.68 Mn |
| Jun 30, 2023 | 12.58 Mn |
| Mar 31, 2023 | 10.68 Mn |
| Dec 31, 2022 | 14.05 Mn |
| Sep 30, 2022 | 11.80 Mn |
| Jun 30, 2022 | 12.98 Mn |
| Mar 31, 2022 | 11.13 Mn |
| Dec 31, 2021 | 14.17 Mn |
| Sep 30, 2021 | 8.50 Mn |
API Access
Arbe Robotics 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=ARBE&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "ARBE", "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=ARBE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();