Aehr Test Systems (AEHR) Return on Capital Employed [ROCE] (2011 - 2026)
Aehr Test Systems (AEHR) reported Return on Capital Employed [ROCE] of -7.69% for Q4 2026, down 3.37 percentage points from -4.32% a year earlier but up 3.51 percentage points from the prior quarter.
Aehr Test Systems (AEHR) Return on Capital Employed [ROCE] (2011 - 2026) Analysis & Trends
For FY2026, Aehr Test Systems posted Return on Capital Employed [ROCE] of -7.87%, down 3.24 percentage points from FY2025.
- Return on Capital Employed [ROCE] has declined for four consecutive years, though with a five-year change of +26.81 percentage points (FY2021 to FY2026).
- By year, Return on Capital Employed [ROCE] came in at -4.63% in FY2025 (-14.46 pp), 9.83% in FY2024 (-11.09 pp), 20.92% in FY2023 (-4.25 pp) and 25.18% in FY2022 (+59.86 pp).
- Five-year quarterly Return on Capital Employed [ROCE] spans a low of -21.23% in Q1 2022 and a high of 22.33% in Q2 2023.
- Year over year, Return on Capital Employed [ROCE] has now declined in each of the last 11 quarters, with an average year-over-year change of -12.53 percentage points over the last eight quarters.
- The high point for year-over-year Return on Capital Employed [ROCE] in five years was Q3 2022 (a gain of 74.49 percentage points); the low point was Q2 2025 (a drop of 20.59 percentage points).
- Per Business Quant data, the three quarters before Q4 2026 came in at -11.20% (Q3 2026), -9.44% (Q2 2026) and -7.37% (Q1 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROCE (Qtr) |
|---|---|---|---|---|---|
| 1 | Nvidia | 5,757.49 Bn | 5,531.65 Bn | 72.14 Bn | 80.04% |
| 2 | Taiwan Semiconductor Manufacturing | 2,520.17 Bn | 2,145.88 Bn | 27.22 Bn | 8.47% |
| 3 | Broadcom | 1,730.62 Bn | 1,656.67 Bn | 20.46 Bn | 26.30% |
| 4 | Micron Technology | 1,201.21 Bn | 1,139.97 Bn | 35.06 Bn | 60.25% |
| 5 | Advanced Micro Devices | 1,031.02 Bn | 987.76 Bn | 6.20 Bn | 9.27% |
| 6 | Asml Holding | 716.82 Bn | 672.66 Bn | 5.90 Bn | - |
| 7 | Intel | 585.95 Bn | 470.68 Bn | 6.51 Bn | -0.05% |
| 8 | Lam Research | 432.69 Bn | 409.49 Bn | 3.48 Bn | 50.54% |
| 9 | Applied Materials | 430.35 Bn | 395.79 Bn | 4.59 Bn | 28.98% |
| 10 | Aehr Test Systems | 3.39 Bn | 3.18 Bn | 8.02 Mn | -7.69% |
Historic Data
| Date | Value |
|---|---|
| May 29, 2026 | -7.69% |
| Feb 27, 2026 | -11.20% |
| Nov 28, 2025 | -9.44% |
| Aug 29, 2025 | -7.37% |
| May 30, 2025 | -4.32% |
| Feb 28, 2025 | 0.05% |
| Nov 29, 2024 | -0.65% |
| Aug 30, 2024 | 5.04% |
| May 31, 2024 | 9.67% |
| Feb 29, 2024 | 14.29% |
| Nov 30, 2023 | 19.94% |
| Aug 31, 2023 | 20.63% |
| May 31, 2023 | 17.84% |
| Feb 28, 2023 | 20.36% |
| Nov 30, 2022 | 22.33% |
| Aug 31, 2022 | 17.77% |
| May 31, 2022 | 15.97% |
| Feb 28, 2022 | 5.74% |
| Nov 30, 2021 | -1.33% |
| Aug 31, 2021 | -21.23% |
Aehr Test Systems Return on Capital Employed [ROCE] 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=return-on-capital-employed-%5Broce%5D&ticker=AEHR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-capital-employed-[roce]", "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=return-on-capital-employed-%5Broce%5D&ticker=AEHR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();