Aehr Test Systems (AEHR) Operating Expenses (2010 - 2026)
Aehr Test Systems' Operating Expenses came in at $9.23 million for Q4 2026, up 23.4% from $7.48 million a year earlier and up 21.4% from the prior quarter.
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Analysis
Aehr Test Systems (AEHR) Operating Expenses (2010 - 2026) Analysis & Trends
For FY2026, Aehr Test Systems' Operating Expenses was $31.8 million, up 7.4% from FY2025.
- Operating Expenses has increased in each of the last five years, with a five-year compound annual growth rate of 25.5% (FY2021 to FY2026).
- Going back by year, Operating Expenses was $29.61 million in FY2025 (+31.8%), $22.47 million in FY2024 (+16.0%), $19.37 million in FY2023 (+22.1%) and $15.87 million in FY2022 (+55.3%).
- The Q4 2026 figure represents the highest quarterly Operating Expenses in data going back to Q1 2011.
- Year-over-year, Operating Expenses increased in seven of the last eight quarters, with growth averaging 20.2%.
- The fastest year-over-year change in Operating Expenses over five years came in Q2 2022 (growth of 63.8%), and the weakest in Q3 2026 (a decline of 8.5%).
- Business Quant data shows AEHR's Operating Expenses at $7.6 million (Q3 2026), $7.19 million (Q2 2026) and $7.79 million (Q1 2026) in the three quarters before Q4 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Nvidia | 5,757.49 Bn | 5,531.65 Bn | 72.14 Bn | 8.41 Bn |
| 2 | Taiwan Semiconductor Manufacturing | 2,520.17 Bn | 2,145.88 Bn | 27.22 Bn | 3.13 Bn |
| 3 | Broadcom | 1,730.62 Bn | 1,656.67 Bn | 20.46 Bn | 4.50 Bn |
| 4 | Micron Technology | 1,201.21 Bn | 1,139.97 Bn | 35.06 Bn | 1.72 Bn |
| 5 | Advanced Micro Devices | 1,031.02 Bn | 987.76 Bn | 6.20 Bn | 4.21 Bn |
| 6 | Asml Holding | 716.82 Bn | 672.66 Bn | 5.90 Bn | - |
| 7 | Intel | 585.95 Bn | 470.68 Bn | 6.51 Bn | 4.71 Bn |
| 8 | Lam Research | 432.69 Bn | 409.49 Bn | 3.48 Bn | 965.25 Mn |
| 9 | Applied Materials | 430.35 Bn | 395.79 Bn | 4.59 Bn | 1.51 Bn |
| 10 | Aehr Test Systems | 3.39 Bn | 3.18 Bn | 8.02 Mn | 9.23 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| May 29, 2026 | 9.23 Mn |
| Feb 27, 2026 | 7.60 Mn |
| Nov 28, 2025 | 7.19 Mn |
| Aug 29, 2025 | 7.79 Mn |
| May 30, 2025 | 7.48 Mn |
| Feb 28, 2025 | 8.30 Mn |
| Nov 29, 2024 | 6.91 Mn |
| Aug 30, 2024 | 6.92 Mn |
| May 31, 2024 | 5.91 Mn |
| Feb 29, 2024 | 5.20 Mn |
| Nov 30, 2023 | 5.49 Mn |
| Aug 31, 2023 | 5.87 Mn |
| May 31, 2023 | 5.84 Mn |
| Feb 28, 2023 | 5.08 Mn |
| Nov 30, 2022 | 4.43 Mn |
| Aug 31, 2022 | 4.02 Mn |
| May 31, 2022 | 4.65 Mn |
| Feb 28, 2022 | 4.14 Mn |
| Nov 30, 2021 | 3.80 Mn |
| Aug 31, 2021 | 3.27 Mn |
API Access
Aehr Test Systems 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=AEHR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "AEHR", "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=AEHR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();