SemiLEDs (LEDS) Operating Expenses (2010 - 2026)
SemiLEDs (LEDS) posted Operating Expenses of $1.05 million for fiscal Q3 2026 (quarter ended May 31, 2026), up 4.4% from $1 million a year earlier and up 22.8% from the prior quarter.
SemiLEDs (LEDS) Operating Expenses (2010 - 2026) Analysis & Trends
For the trailing twelve months through May 31, 2026, Operating Expenses at SemiLEDs was $4.14 million, up 9.3% year-over-year; for FY2025 (ended Aug 31, 2025), it was $4.03 million, up 0.6% from FY2024.
- Annual Operating Expenses shows a five-year compound annual growth rate of 1.8% (FY2020 to FY2025).
- In prior fiscal years, SemiLEDs' Operating Expenses was $4 million in FY2024 (-9.3%), $4.41 million in FY2023 (-4.0%), $4.6 million in FY2022 (-7.2%) and $4.95 million in FY2021 (+34.6%).
- Quarterly Operating Expenses has run from a low of $851,000 in fiscal Q2 2026 to a high of $2 million in fiscal Q4 2021 over five years.
- On a year-over-year basis, Operating Expenses increased in three of the last eight quarters, with growth averaging 0.5%.
- The strongest year-over-year quarter for Operating Expenses in the past five years was fiscal Q4 2021, with growth of 297.0%; the weakest was fiscal Q4 2022, with a decline of 29.7%.
- According to Business Quant data, Operating Expenses for the three prior fiscal quarters was $851,000 (Q2 2026), $1.03 million (Q1 2026) and $1.22 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Apple | 4,973.70 Bn | 4,721.19 Bn | 54.77 Bn | 19.08 Bn |
| 2 | Cisco Systems | 421.27 Bn | 357.20 Bn | 11.06 Bn | 6.80 Bn |
| 3 | Dell Technologies | 297.70 Bn | 253.45 Bn | 9.83 Bn | 4.45 Bn |
| 4 | Arista Networks | 229.14 Bn | 182.59 Bn | 1.91 Bn | 532.30 Mn |
| 5 | Sandisk | 200.83 Bn | 189.36 Bn | 7.58 Bn | 545.00 Mn |
| 6 | Sony | 150.33 Bn | 87.59 Bn | 6.53 Bn | 14.83 Bn |
| 7 | Seagate Technology Holdings | 147.86 Bn | 142.86 Bn | 1.90 Bn | 2.07 Bn |
| 8 | Western Digital | 125.50 Bn | 113.63 Bn | 2.03 Bn | 465.00 Mn |
| 9 | Hewlett Packard Enterprise | 74.88 Bn | 52.76 Bn | 4.93 Bn | 10.82 Bn |
| 10 | SemiLEDs | 15.88 Mn | 386,275.73 | 2.46 Mn | 1.05 Mn |
Historic Data
| Date | Value |
|---|---|
| May 31, 2026 | 1.05 Mn |
| Feb 28, 2026 | 851,000.00 |
| Nov 30, 2025 | 1.03 Mn |
| Aug 31, 2025 | 1.22 Mn |
| May 31, 2025 | 1.00 Mn |
| Feb 28, 2025 | 893,000.00 |
| Nov 30, 2024 | 917,000.00 |
| Aug 31, 2024 | 978,000.00 |
| May 31, 2024 | 1.02 Mn |
| Feb 29, 2024 | 944,000.00 |
| Nov 30, 2023 | 1.06 Mn |
| Aug 31, 2023 | 1.11 Mn |
| May 31, 2023 | 1.22 Mn |
| Feb 28, 2023 | 964,000.00 |
| Nov 30, 2022 | 1.12 Mn |
| Aug 31, 2022 | 1.40 Mn |
| May 31, 2022 | 1.11 Mn |
| Feb 28, 2022 | 902,000.00 |
| Nov 30, 2021 | 1.18 Mn |
| Aug 31, 2021 | 2.00 Mn |
SemiLEDs 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=LEDS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "LEDS", "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=LEDS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();