Arteris (AIP) EPS (Diluted) (2020 - 2026)
Arteris (AIP) reported EPS (Diluted) of -$0.30 for Q2 2026, compared with -$0.22 a year earlier.
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Analysis
Arteris (AIP) EPS (Diluted) (2020 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Arteris' EPS (Diluted) came in at -$0.84; for FY2025, it was -$0.82.
- By year, EPS (Diluted) came in at -$0.86 in FY2024, -$1.03 in FY2023, -$0.84 in FY2022 and -$1.06 in FY2021.
- The Q2 2026 figure ranks as the lowest quarterly EPS (Diluted) since Q4 2021.
- Per Business Quant data, the three quarters before Q2 2026 came in at -$0.17 (Q1 2026), -$0.20 (Q4 2025) and -$0.21 (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EPS (Diluted) (Qtr) |
|---|---|---|---|---|---|
| 1 | Nvidia | 5,503.96 Bn | 5,278.12 Bn | 72.14 Bn | 2.46 |
| 2 | Taiwan Semiconductor Manufacturing | 2,366.45 Bn | 1,992.15 Bn | 27.22 Bn | 4.42 |
| 3 | Broadcom | 1,676.58 Bn | 1,602.63 Bn | 20.46 Bn | 2.68 |
| 4 | Micron Technology | 1,202.51 Bn | 1,141.27 Bn | 35.06 Bn | 24.67 |
| 5 | Advanced Micro Devices | 998.39 Bn | 955.14 Bn | 6.20 Bn | 1.38 |
| 6 | Asml Holding | 698.25 Bn | 654.08 Bn | 5.90 Bn | 8.50 |
| 7 | Intel | 606.32 Bn | 491.05 Bn | 6.51 Bn | -2.16 |
| 8 | Lam Research | 411.06 Bn | 387.85 Bn | 3.48 Bn | 1.81 |
| 9 | Applied Materials | 405.83 Bn | 371.27 Bn | 4.59 Bn | 3.17 |
| 10 | Arteris | 1.16 Bn | 905.84 Mn | 20.53 Mn | -0.30 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -0.30 |
| Mar 31, 2026 | -0.17 |
| Dec 31, 2025 | -0.20 |
| Sep 30, 2025 | -0.21 |
| Jun 30, 2025 | -0.22 |
| Mar 31, 2025 | -0.20 |
| Dec 31, 2024 | -0.21 |
| Sep 30, 2024 | -0.20 |
| Jun 30, 2024 | -0.22 |
| Mar 31, 2024 | -0.25 |
| Dec 31, 2023 | -0.30 |
| Sep 30, 2023 | -0.23 |
| Jun 30, 2023 | -0.26 |
| Mar 31, 2023 | -0.26 |
| Dec 31, 2022 | -0.22 |
| Sep 30, 2022 | -0.23 |
| Jun 30, 2022 | -0.18 |
| Mar 31, 2022 | -0.22 |
| Dec 31, 2021 | -0.35 |
| Sep 30, 2021 | -0.24 |
API Access
Arteris EPS (Diluted) 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=eps-diluted&ticker=AIP&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "eps-diluted", "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=eps-diluted&ticker=AIP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();