Axt (AXTI) Operating Expenses (2011 - 2026)
Axt's Operating Expenses was $10.94 million in Q2 2026, up 33.8% from $8.18 million a year earlier.
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Analysis
Axt (AXTI) Operating Expenses (2011 - 2026) Analysis & Trends
On a trailing twelve-month basis, Axt's Operating Expenses was $35.13 million through Jun 30, 2026, down 4.7% year-over-year; for FY2025, it was $33.22 million, down 14.0% from FY2024.
- Operating Expenses shows a five-year compound annual growth rate of 4.8% (FY2020 to FY2025).
- In earlier years, Operating Expenses was $38.64 million in FY2024 (+10.8%), $34.89 million in FY2023 (-11.8%), $39.57 million in FY2022 (+14.6%) and $34.52 million in FY2021 (+31.1%).
- The Q2 2026 figure marks the highest quarterly Operating Expenses in data going back to Q1 2011.
- Compared with a year earlier, Operating Expenses was higher in three of the last seven quarters, with growth averaging 1.8%.
- The best year-over-year quarter for Operating Expenses over five years was Q3 2021 (growth of 37.0%); the worst was Q3 2025 (a decline of 19.2%).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Nvidia | 5,503.96 Bn | 5,278.12 Bn | 72.14 Bn | 8.41 Bn |
| 2 | Taiwan Semiconductor Manufacturing | 2,366.45 Bn | 1,992.15 Bn | 27.22 Bn | 3.13 Bn |
| 3 | Broadcom | 1,676.58 Bn | 1,602.63 Bn | 20.46 Bn | 4.50 Bn |
| 4 | Micron Technology | 1,202.51 Bn | 1,141.27 Bn | 35.06 Bn | 1.72 Bn |
| 5 | Advanced Micro Devices | 998.39 Bn | 955.14 Bn | 6.20 Bn | 4.21 Bn |
| 6 | Asml Holding | 698.25 Bn | 654.08 Bn | 5.90 Bn | - |
| 7 | Intel | 606.32 Bn | 491.05 Bn | 6.51 Bn | 4.71 Bn |
| 8 | Lam Research | 411.06 Bn | 387.85 Bn | 3.48 Bn | 965.25 Mn |
| 9 | Applied Materials | 405.83 Bn | 371.27 Bn | 4.59 Bn | 1.51 Bn |
| 10 | Axt | 5.08 Bn | 4.36 Bn | 21.37 Mn | 10.94 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 10.94 Mn |
| Dec 31, 2025 | 8.66 Mn |
| Sep 30, 2025 | 7.35 Mn |
| Jun 30, 2025 | 8.18 Mn |
| Mar 31, 2025 | 9.03 Mn |
| Dec 31, 2024 | 10.57 Mn |
| Sep 30, 2024 | 9.09 Mn |
| Jun 30, 2024 | 9.54 Mn |
| Mar 31, 2024 | 9.44 Mn |
| Dec 31, 2023 | 8.19 Mn |
| Sep 30, 2023 | 8.59 Mn |
| Jun 30, 2023 | 8.56 Mn |
| Mar 31, 2023 | 9.55 Mn |
| Dec 31, 2022 | 9.60 Mn |
| Sep 30, 2022 | 10.22 Mn |
| Jun 30, 2022 | 10.15 Mn |
| Mar 31, 2022 | 9.61 Mn |
| Dec 31, 2021 | 9.11 Mn |
| Sep 30, 2021 | 9.11 Mn |
| Jun 30, 2021 | 8.33 Mn |
API Access
Axt Operating 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=operating-expenses&ticker=AXTI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=AXTI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();