Arteris (AIP) EBITDA (2021 - 2026)
Arteris' EBITDA came in at -$12.39 million for Q2 2026, compared with -$7.4 million a year earlier.
Analysis
Arteris (AIP) EBITDA (2021 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Arteris reported EBITDA of -$35.84 million; for FY2025, it came in at -$29.76 million.
- Going back by year, EBITDA was -$28.23 million in FY2024 and -$32.07 million in FY2023.
- The Q2 2026 figure represents the lowest quarterly EBITDA in data going back to Q1 2021.
- Business Quant data shows AIP's EBITDA at -$7.95 million (Q1 2026), -$7.62 million (Q4 2025) and -$7.87 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Nvidia | 5,515.53 Bn | 5,289.69 Bn | 72.14 Bn | 64.86 Bn |
| 2 | Taiwan Semiconductor Manufacturing | 2,348.76 Bn | 1,974.46 Bn | 27.22 Bn | - |
| 3 | Broadcom | 1,668.85 Bn | 1,594.89 Bn | 20.46 Bn | 18.17 Bn |
| 4 | Micron Technology | 1,189.94 Bn | 1,128.71 Bn | 35.06 Bn | 35.68 Bn |
| 5 | Advanced Micro Devices | 992.04 Bn | 948.79 Bn | 6.20 Bn | 2.76 Bn |
| 6 | Asml Holding | 682.73 Bn | 638.57 Bn | 5.90 Bn | - |
| 7 | Intel | 585.14 Bn | 469.87 Bn | 6.51 Bn | 5.02 Bn |
| 8 | Lam Research | 393.49 Bn | 370.29 Bn | 3.48 Bn | 2.63 Bn |
| 9 | Applied Materials | 386.29 Bn | 351.73 Bn | 4.59 Bn | 3.23 Bn |
| 10 | Arteris | 1.13 Bn | 880.33 Mn | 20.53 Mn | -12.39 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -12.39 Mn |
| Mar 31, 2026 | -7.95 Mn |
| Dec 31, 2025 | -7.62 Mn |
| Sep 30, 2025 | -7.87 Mn |
| Jun 30, 2025 | -7.40 Mn |
| Mar 31, 2025 | -6.86 Mn |
| Dec 31, 2024 | -6.21 Mn |
| Sep 30, 2024 | -7.08 Mn |
| Jun 30, 2024 | -6.64 Mn |
| Jun 30, 2022 | -4.90 Mn |
| Mar 31, 2022 | -6.22 Mn |
| Sep 30, 2021 | -4.14 Mn |
| Jun 30, 2021 | -3.16 Mn |
| Mar 31, 2021 | -6.08 Mn |
API Access
Arteris EBITDA 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=ebitda&ticker=AIP&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=AIP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();