Arrive AI (ARAI) Depreciation and Depletion (2024 - 2026)
Arrive AI (ARAI) recorded Depreciation and Depletion of $64,823 in Q2 2026, up 576.9% from $9,576 a year earlier and up 16.4% from the prior quarter.
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Analysis
Arrive AI (ARAI) Depreciation and Depletion (2024 - 2026) Analysis & Trends
On a TTM basis, Arrive AI's Depreciation and Depletion came in at $169,240 as of Jun 30, 2026, up 448.7% year-over-year; for FY2025, it came in at $65,385, up 131.0% from FY2024.
- Across earlier years, Depreciation and Depletion came in at $28,303 in FY2024.
- The Q2 2026 figure is the highest quarterly Depreciation and Depletion in data going back to Q2 2024.
- On a year-over-year basis, Depreciation and Depletion has increased for five consecutive quarters, with growth averaging 357.2% over the last five quarters.
- Per Business Quant, the preceding three quarters came in at $55,697 (Q1 2026), $35,025 (Q4 2025) and $13,695 (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Dep. & Depletion (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 328.64 Bn | 313.71 Bn | 2.30 Bn | - |
| 2 | CrowdStrike Holdings | 276.50 Bn | 256.94 Bn | 1.10 Bn | - |
| 3 | Fortinet | 132.74 Bn | 118.67 Bn | 1.64 Bn | 31.50 Mn |
| 4 | Snowflake | 120.19 Bn | 107.50 Bn | 1.04 Bn | 26.40 Mn |
| 5 | Datadog | 99.51 Bn | 81.15 Bn | 881.34 Mn | - |
| 6 | Okta | 35.35 Bn | 25.44 Bn | 641.00 Mn | - |
| 7 | Axon Enterprise | 33.58 Bn | 28.10 Bn | 546.45 Mn | - |
| 8 | Zscaler | 32.06 Bn | 18.18 Bn | - | - |
| 9 | MongoDB | 28.84 Bn | 19.30 Bn | 569.77 Mn | 993,000.00 |
| 10 | Arrive AI | 11.41 Mn | -1.37 Mn | - | 64,823.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 64,823.00 |
| Mar 31, 2026 | 55,697.00 |
| Dec 31, 2025 | 35,025.00 |
| Sep 30, 2025 | 13,695.00 |
| Jun 30, 2025 | 9,576.00 |
| Mar 31, 2025 | 7,089.00 |
| Dec 31, 2024 | 7,088.00 |
| Sep 30, 2024 | 7,089.00 |
| Jun 30, 2024 | 7,030.00 |
API Access
Arrive AI Depreciation and Depletion 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=depreciation-and-depletion&ticker=ARAI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "depreciation-and-depletion", "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=depreciation-and-depletion&ticker=ARAI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();