Axt (AXTI) EPS (Diluted) (2011 - 2026)
Axt's EPS (Diluted) came in at $0.17 for Q2 2026, compared with -$0.16 a year earlier.
Analysis
Axt (AXTI) EPS (Diluted) (2011 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Axt reported EPS (Diluted) of -$0.02; for FY2025, it came in at -$0.49.
- Going back by year, EPS (Diluted) was -$0.27 in FY2024, -$0.42 in FY2023, $0.37 in FY2022 (+8.5%) and $0.34 in FY2021 (+332.3%).
- The Q2 2026 figure represents the highest quarterly EPS (Diluted) since Q3 2011.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EPS (Diluted) (Qtr) |
|---|---|---|---|---|---|
| 1 | Nvidia | 5,136.26 Bn | 4,910.42 Bn | 72.14 Bn | 2.46 |
| 2 | Taiwan Semiconductor Manufacturing | 2,136.54 Bn | 1,761.41 Bn | 27.22 Bn | 4.31 |
| 3 | Broadcom | 1,540.90 Bn | 1,466.94 Bn | 20.46 Bn | 2.68 |
| 4 | Micron Technology | 967.10 Bn | 872.74 Bn | 47.05 Bn | 32.98 |
| 5 | Advanced Micro Devices | 829.08 Bn | 785.83 Bn | 6.20 Bn | 1.38 |
| 6 | Asml Holding | 608.19 Bn | 563.87 Bn | 5.90 Bn | 8.50 |
| 7 | Intel | 435.73 Bn | 304.86 Bn | 6.51 Bn | -2.16 |
| 8 | Applied Materials | 298.50 Bn | 263.94 Bn | 4.59 Bn | 3.17 |
| 9 | Lam Research | 288.46 Bn | 265.26 Bn | 3.48 Bn | 1.81 |
| 10 | Axt | 3.16 Bn | 2.41 Bn | 21.37 Mn | 0.17 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 0.17 |
| Dec 31, 2025 | -0.08 |
| Sep 30, 2025 | -0.04 |
| Jun 30, 2025 | -0.16 |
| Mar 31, 2025 | -0.20 |
| Dec 31, 2024 | -0.12 |
| Sep 30, 2024 | -0.07 |
| Jun 30, 2024 | -0.04 |
| Mar 31, 2024 | -0.05 |
| Dec 31, 2023 | -0.08 |
| Sep 30, 2023 | -0.14 |
| Jun 30, 2023 | -0.12 |
| Mar 31, 2023 | -0.08 |
| Dec 31, 2022 | 0.03 |
| Sep 30, 2022 | 0.13 |
| Jun 30, 2022 | 0.13 |
| Mar 31, 2022 | 0.07 |
| Dec 31, 2021 | 0.07 |
| Sep 30, 2021 | 0.09 |
| Jun 30, 2021 | 0.10 |
API Access
Axt 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=AXTI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "eps-diluted", "ticker": "AXTI", "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=AXTI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();