Lantronix (LTRX) Operating Expenses (2010 - 2026)
Lantronix's Operating Expenses came in at $14 million for fiscal Q4 2026 (quarter ended Jun 30, 2026), down 4.6% from $14.67 million a year earlier and down 1.0% from the prior quarter.
Powered by 
Analysis
Lantronix (LTRX) Operating Expenses (2010 - 2026) Analysis & Trends
For FY2026 (ended Jun 30, 2026), Lantronix's Operating Expenses was $57.04 million, down 9.0% from FY2025.
- Operating Expenses carries a five-year compound annual growth rate of 9.4% (FY2021 to FY2026).
- Going back by fiscal year, Operating Expenses was $62.7 million in FY2025 (-6.7%), $67.22 million in FY2024 (+6.8%), $62.94 million in FY2023 (+3.9%) and $60.6 million in FY2022 (+66.6%).
- The fiscal Q4 2026 figure represents the lowest quarterly Operating Expenses since fiscal Q4 2021.
- Year-over-year, Operating Expenses has declined for seven consecutive quarters, with an average decline of 7.6% over the last eight quarters.
- The fastest year-over-year change in Operating Expenses over five years came in fiscal Q2 2022 (growth of 94.5%), and the weakest in fiscal Q4 2025 (a decline of 19.2%).
- Business Quant data shows LTRX's Operating Expenses at $14.13 million (Q3 2026), $14.04 million (Q2 2026) and $14.87 million (Q1 2026) in the three fiscal quarters before Q4 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Apple | 4,943.67 Bn | 4,691.16 Bn | 54.77 Bn | 19.08 Bn |
| 2 | Cisco Systems | 421.20 Bn | 357.13 Bn | 11.06 Bn | 6.80 Bn |
| 3 | Dell Technologies | 347.85 Bn | 303.60 Bn | 9.83 Bn | 4.45 Bn |
| 4 | Arista Networks | 258.42 Bn | 211.87 Bn | 1.91 Bn | 532.30 Mn |
| 5 | Sandisk | 250.08 Bn | 238.60 Bn | 7.58 Bn | 545.00 Mn |
| 6 | Seagate Technology Holdings | 208.99 Bn | 203.98 Bn | 1.90 Bn | 2.07 Bn |
| 7 | Western Digital | 163.62 Bn | 151.74 Bn | 2.03 Bn | 465.00 Mn |
| 8 | Sony | 143.48 Bn | 93.86 Bn | 6.53 Bn | 14.83 Bn |
| 9 | Hewlett Packard Enterprise | 83.23 Bn | 61.11 Bn | 4.93 Bn | 10.82 Bn |
| 10 | Lantronix | 336.41 Mn | 207.27 Mn | 13.61 Mn | 14.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 14.00 Mn |
| Mar 31, 2026 | 14.13 Mn |
| Dec 31, 2025 | 14.04 Mn |
| Sep 30, 2025 | 14.87 Mn |
| Jun 30, 2025 | 14.67 Mn |
| Mar 31, 2025 | 15.98 Mn |
| Dec 31, 2024 | 15.44 Mn |
| Sep 30, 2024 | 16.60 Mn |
| Jun 30, 2024 | 18.16 Mn |
| Mar 31, 2024 | 16.60 Mn |
| Dec 31, 2023 | 16.79 Mn |
| Sep 30, 2023 | 15.67 Mn |
| Jun 30, 2023 | 14.56 Mn |
| Mar 31, 2023 | 17.07 Mn |
| Dec 31, 2022 | 15.91 Mn |
| Sep 30, 2022 | 15.41 Mn |
| Jun 30, 2022 | 14.50 Mn |
| Mar 31, 2022 | 15.70 Mn |
| Dec 31, 2021 | 16.18 Mn |
| Sep 30, 2021 | 14.22 Mn |
API Access
Lantronix 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=LTRX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "LTRX", "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=LTRX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();