Lgl (LGL) Operating Expenses (2010 - 2026)
Lgl's Operating Expenses was $1.6 million in Q2 2026, up 67.5% from $955,000 a year earlier but down 14.4% from the prior quarter.
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Analysis
Lgl (LGL) Operating Expenses (2010 - 2026) Analysis & Trends
On a trailing twelve-month basis, Lgl's Operating Expenses was $5.56 million through Jun 30, 2026, up 46.8% year-over-year; for FY2025, it was $3.92 million, up 9.1% from FY2024.
- Operating Expenses shows a three-year compound annual growth rate of 1.7% (FY2022 to FY2025).
- In earlier years, Operating Expenses was $3.59 million in FY2024 (+18.5%), $3.03 million in FY2023 (-18.6%) and $3.73 million in FY2022.
- Quarterly Operating Expenses has moved between $666,000 (Q4 2023) and $1.87 million (Q1 2026) over five years.
- Compared with a year earlier, Operating Expenses has increased for three straight quarters, with growth averaging 36.3% over the last eight quarters.
- The best year-over-year quarter for Operating Expenses over five years was Q1 2026 (growth of 113.2%); the worst was Q1 2023 (a decline of 41.9%).
- Per Business Quant data, LGL's Operating Expenses in the three quarters before Q2 2026 was $1.87 million (Q1 2026), $1.1 million (Q4 2025) and $988,000 (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Apple | 5,020.54 Bn | 4,766.00 Bn | 54.82 Bn | 19.19 Bn |
| 2 | Cisco Systems | 371.11 Bn | 307.04 Bn | 11.06 Bn | 6.80 Bn |
| 3 | Arista Networks | 215.34 Bn | 164.54 Bn | 2.33 Bn | 683.30 Mn |
| 4 | Dell Technologies | 212.13 Bn | 167.88 Bn | 9.83 Bn | 4.45 Bn |
| 5 | Sony | 161.14 Bn | 95.68 Bn | 7.96 Bn | 17.49 Bn |
| 6 | Sandisk | 122.92 Bn | 107.75 Bn | 9.38 Bn | 598.00 Mn |
| 7 | Seagate Technology Holdings | 105.29 Bn | 100.14 Bn | 2.43 Bn | 2.17 Bn |
| 8 | Western Digital | 96.46 Bn | 86.29 Bn | 2.53 Bn | 488.00 Mn |
| 9 | Hewlett Packard Enterprise | 59.75 Bn | 37.63 Bn | 4.93 Bn | 10.82 Bn |
| 10 | Lgl | 42.31 Mn | -132.69 Mn | 772,000.00 | 1.60 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.60 Mn |
| Mar 31, 2026 | 1.87 Mn |
| Dec 31, 2025 | 1.10 Mn |
| Sep 30, 2025 | 988,000.00 |
| Jun 30, 2025 | 955,000.00 |
| Mar 31, 2025 | 877,000.00 |
| Dec 31, 2024 | 912,000.00 |
| Sep 30, 2024 | 1.04 Mn |
| Jun 30, 2024 | 831,000.00 |
| Mar 31, 2024 | 809,000.00 |
| Dec 31, 2023 | 666,000.00 |
| Sep 30, 2023 | 779,000.00 |
| Jun 30, 2023 | 853,000.00 |
| Mar 31, 2023 | 734,000.00 |
| Dec 31, 2022 | 741,000.00 |
| Sep 30, 2022 | 872,000.00 |
| Jun 30, 2022 | 850,000.00 |
| Mar 31, 2022 | 1.26 Mn |
| Dec 31, 2014 | 21,000.00 |
| Sep 30, 2014 | 47,000.00 |
API Access
Lgl 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=LGL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "LGL", "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=LGL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();