Arrive AI (ARAI) Change in Accrued Expenses (2024 - 2026)
Arrive AI (ARAI) posted Change in Accured Expenses of $456,282 for Q2 2026, compared with -$150,929 a year earlier and down 52.1% from the prior quarter.
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Analysis
Arrive AI (ARAI) Change in Accrued Expenses (2024 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Change in Accured Expenses at Arrive AI was $1.88 million; for FY2025, it came in at $455,042.
- In prior years, Arrive AI's Change in Accured Expenses was $37,868 in FY2024.
- Quarterly Change in Accured Expenses has run from a low of -$150,929 in Q2 2025 to a high of $952,486 in Q1 2026 over five years.
- According to Business Quant data, Change in Accured Expenses for the three prior quarters was $952,486 (Q1 2026), $329,200 (Q4 2025) and $143,144 (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accrued Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 265.98 Bn | 251.06 Bn | 2.30 Bn | 369.00 Mn |
| 2 | CrowdStrike Holdings | 231.16 Bn | 211.60 Bn | 1.10 Bn | 72.38 Mn |
| 3 | Snowflake | 104.28 Bn | 91.59 Bn | 1.04 Bn | 108.85 Mn |
| 4 | Fortinet | 90.77 Bn | 75.03 Bn | 1.64 Bn | -14.80 Mn |
| 5 | Datadog | 64.41 Bn | 44.95 Bn | 959.92 Mn | -3.63 Mn |
| 6 | Zscaler | 31.78 Bn | 17.94 Bn | 689.22 Mn | 26.42 Mn |
| 7 | Okta | 29.81 Bn | 21.96 Bn | 641.00 Mn | 38.00 Mn |
| 8 | Baidu | 27.12 Bn | -46.32 Bn | 1.80 Bn | - |
| 9 | MongoDB | 26.74 Bn | 17.21 Bn | 569.77 Mn | 43.09 Mn |
| 10 | Arrive AI | 2.59 Mn | -15.85 Mn | - | 456,282.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 456,282.00 |
| Mar 31, 2026 | 952,486.00 |
| Dec 31, 2025 | 329,200.00 |
| Sep 30, 2025 | 143,144.00 |
| Jun 30, 2025 | -150,929.00 |
| Mar 31, 2025 | 133,627.00 |
| Dec 31, 2024 | 15,979.00 |
| Sep 30, 2024 | -63,247.00 |
| Jun 30, 2024 | -2,540.00 |
| Mar 31, 2024 | 87,676.00 |
API Access
Arrive AI Change in Accrued 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=change-in-accured-expenses&ticker=ARAI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-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=change-in-accured-expenses&ticker=ARAI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();