Arrive AI (ARAI) Operating Expenses (2024 - 2026)
Arrive AI (ARAI) posted Operating Expenses of $4.47 million for Q2 2026, up 17.0% from $3.82 million a year earlier but down 4.5% from the prior quarter.
Arrive AI (ARAI) Operating Expenses (2024 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Operating Expenses at Arrive AI was $13.8 million, up 72.8% year-over-year; for FY2025, it came in at $10.47 million, up 128.9% from FY2024.
- In prior years, Arrive AI's Operating Expenses was $4.57 million in FY2024.
- Quarterly Operating Expenses has run from a low of $827,993 in Q3 2024 to a high of $4.68 million in Q1 2026 over five years.
- On a year-over-year basis, Operating Expenses has increased in each of the last six quarters, with growth averaging 104.8% over the last six quarters.
- According to Business Quant data, Operating Expenses for the three prior quarters was $4.68 million (Q1 2026), $3 million (Q4 2025) and $1.66 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 323.81 Bn | 308.88 Bn | 2.30 Bn | 2.13 Bn |
| 2 | CrowdStrike Holdings | 271.09 Bn | 251.53 Bn | 1.10 Bn | 1.13 Bn |
| 3 | Fortinet | 131.14 Bn | 117.07 Bn | 1.64 Bn | 953.90 Mn |
| 4 | Snowflake | 119.71 Bn | 107.03 Bn | 1.04 Bn | 1.30 Bn |
| 5 | Datadog | 98.30 Bn | 79.94 Bn | 881.34 Mn | 875.89 Mn |
| 6 | Okta | 34.95 Bn | 25.05 Bn | 641.00 Mn | 534.00 Mn |
| 7 | Axon Enterprise | 34.32 Bn | 28.85 Bn | 546.45 Mn | 499.67 Mn |
| 8 | Zscaler | 32.52 Bn | 18.64 Bn | - | - |
| 9 | Baidu | 29.56 Bn | -44.07 Bn | 1.47 Mn | 4.17 Bn |
| 10 | Arrive AI | 11.41 Mn | -1.37 Mn | - | 4.47 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 4.47 Mn |
| Mar 31, 2026 | 4.68 Mn |
| Dec 31, 2025 | 3.00 Mn |
| Sep 30, 2025 | 1.66 Mn |
| Jun 30, 2025 | 3.82 Mn |
| Mar 31, 2025 | 1.99 Mn |
| Dec 31, 2024 | 1.35 Mn |
| Sep 30, 2024 | 827,993.00 |
| Jun 30, 2024 | 1.48 Mn |
| Mar 31, 2024 | 1.01 Mn |
Arrive AI 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=ARAI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "ARAI", "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=ARAI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();