Arteris (AIP) Accumulated Expenses (2020 - 2026)
Arteris (AIP) reported Accumulated Expenses of $30.44 million for Q2 2026, up 98.7% from $15.32 million a year earlier and up 12.6% from the prior quarter.
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Analysis
Arteris (AIP) Accumulated Expenses (2020 - 2026) Analysis & Trends
At the end of FY2025, Arteris posted Accumulated Expenses of $19.09 million, up 20.1% from FY2024.
- Accumulated Expenses has a five-year compound annual growth rate of 21.4% (FY2020 to FY2025).
- By year, Accumulated Expenses came in at $15.9 million in FY2024 (+34.4%), $11.83 million in FY2023 (-2.2%), $12.1 million in FY2022 (+14.4%) and $10.57 million in FY2021 (+45.9%).
- The Q2 2026 figure ranks as the highest quarterly Accumulated Expenses in data going back to Q4 2020.
- Year over year, Accumulated Expenses has now increased in each of the last ten quarters, with growth averaging 41.3% over the last eight quarters.
- The high point for year-over-year Accumulated Expenses in five years was Q2 2026 (growth of 98.7%); the low point was Q4 2023 (a decline of 2.2%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $27.03 million (Q1 2026), $19.09 million (Q4 2025) and $17.21 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Nvidia | 5,503.96 Bn | 5,278.12 Bn | 72.14 Bn |
| 2 | Taiwan Semiconductor Manufacturing | 2,366.45 Bn | 1,992.15 Bn | 27.22 Bn |
| 3 | Broadcom | 1,676.58 Bn | 1,602.63 Bn | 20.46 Bn |
| 4 | Micron Technology | 1,202.51 Bn | 1,141.27 Bn | 35.06 Bn |
| 5 | Advanced Micro Devices | 998.39 Bn | 955.14 Bn | 6.20 Bn |
| 6 | Asml Holding | 698.25 Bn | 654.08 Bn | 5.90 Bn |
| 7 | Intel | 606.32 Bn | 491.05 Bn | 6.51 Bn |
| 8 | Lam Research | 411.06 Bn | 387.85 Bn | 3.48 Bn |
| 9 | Applied Materials | 405.83 Bn | 371.27 Bn | 4.59 Bn |
| 10 | Arteris | 1.16 Bn | 905.84 Mn | 20.53 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 30.44 Mn |
| Mar 31, 2026 | 27.03 Mn |
| Dec 31, 2025 | 19.09 Mn |
| Sep 30, 2025 | 17.21 Mn |
| Jun 30, 2025 | 15.32 Mn |
| Mar 31, 2025 | 13.71 Mn |
| Dec 31, 2024 | 15.90 Mn |
| Sep 30, 2024 | 12.97 Mn |
| Jun 30, 2024 | 11.71 Mn |
| Mar 31, 2024 | 12.66 Mn |
| Dec 31, 2023 | 11.83 Mn |
| Sep 30, 2023 | 11.98 Mn |
| Jun 30, 2023 | 10.83 Mn |
| Mar 31, 2023 | 9.99 Mn |
| Dec 31, 2022 | 12.10 Mn |
| Sep 30, 2022 | 11.52 Mn |
| Jun 30, 2022 | 10.76 Mn |
| Mar 31, 2022 | 9.46 Mn |
| Dec 31, 2021 | 10.57 Mn |
| Sep 30, 2021 | 9.58 Mn |
API Access
Arteris Accumulated 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=accumulated-expenses&ticker=AIP&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "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=accumulated-expenses&ticker=AIP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();