Arteris (AIP) Tax Provisions (2020 - 2026)
Arteris' Tax Provisions came in at $697,000 for Q2 2026, down 17.6% from $846,000 a year earlier.
Arteris (AIP) Tax Provisions (2020 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Arteris reported Tax Provisions of -$2.65 million; for FY2025, it was $1.48 million, down 41.0% from FY2024.
- Going back by year, Tax Provisions was $2.5 million in FY2024 (+49.1%) and $1.68 million in FY2023.
- The five-year range for quarterly Tax Provisions is -$3.7 million (Q1 2026) to $1.2 million (Q4 2024).
- Business Quant data shows AIP's Tax Provisions at -$3.7 million (Q1 2026), -$25,000 (Q4 2025) and $380,000 (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Taxes (Qtr) |
|---|---|---|---|---|---|
| 1 | Nvidia | 5,475.76 Bn | 5,249.92 Bn | 72.14 Bn | 11.82 Bn |
| 2 | Taiwan Semiconductor Manufacturing | 2,370.28 Bn | 1,995.99 Bn | 27.22 Bn | 4.92 Bn |
| 3 | Broadcom | 1,695.25 Bn | 1,621.29 Bn | 20.46 Bn | 2.19 Bn |
| 4 | Micron Technology | 1,202.48 Bn | 1,141.24 Bn | 35.06 Bn | 4.98 Bn |
| 5 | Advanced Micro Devices | 991.55 Bn | 948.30 Bn | 6.20 Bn | 252.00 Mn |
| 6 | Asml Holding | 707.01 Bn | 662.84 Bn | 5.90 Bn | - |
| 7 | Intel | 584.63 Bn | 469.37 Bn | 6.51 Bn | 29.00 Mn |
| 8 | Applied Materials | 406.33 Bn | 371.77 Bn | 4.59 Bn | 369.00 Mn |
| 9 | Lam Research | 405.24 Bn | 382.04 Bn | 3.48 Bn | 277.86 Mn |
| 10 | Arteris | 1.14 Bn | 887.20 Mn | 20.53 Mn | 697,000.00 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 697,000.00 |
| Mar 31, 2026 | -3.70 Mn |
| Dec 31, 2025 | -25,000.00 |
| Sep 30, 2025 | 380,000.00 |
| Jun 30, 2025 | 846,000.00 |
| Mar 31, 2025 | 300,000.00 |
| Dec 31, 2024 | 1.20 Mn |
| Sep 30, 2024 | -92,000.00 |
| Jun 30, 2024 | 975,000.00 |
| Jun 30, 2022 | 351,000.00 |
| Mar 31, 2022 | 123,000.00 |
| Sep 30, 2021 | 268,000.00 |
| Jun 30, 2021 | 188,000.00 |
| Mar 31, 2021 | 200,000.00 |
| Sep 30, 2020 | 1.20 Mn |
Arteris Tax Provisions 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=tax-provisions&ticker=AIP&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "tax-provisions", "ticker": "AIP", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=tax-provisions&ticker=AIP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();