Lifeloc Technologies (LCTC) Operating Expenses (2010 - 2025)
Lifeloc Technologies (LCTC) posted Operating Expenses of $1.24 million for Q4 2025, up 9.9% from $1.13 million a year earlier and up 8.6% from the prior quarter.
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Analysis
Lifeloc Technologies (LCTC) Operating Expenses (2010 - 2025) Analysis & Trends
For FY2025, Lifeloc Technologies' Operating Expenses came in at $4.87 million, up 0.4% from FY2024.
- Annual Operating Expenses has increased for four consecutive years, with a five-year compound annual growth rate of 7.9% (FY2020 to FY2025).
- In prior years, Lifeloc Technologies' Operating Expenses was $4.85 million in FY2024 (+14.7%), $4.23 million in FY2023 (+13.6%), $3.73 million in FY2022 (+11.9%) and $3.33 million in FY2021 (-0.2%).
- Quarterly Operating Expenses has run from a low of $737,665 in Q2 2021 to a high of $1.39 million in Q2 2024 over five years.
- On a year-over-year basis, Operating Expenses increased in five of the last eight quarters, with growth averaging 8.3%.
- The strongest year-over-year quarter for Operating Expenses in the past five years was Q2 2024, with growth of 41.9%; the weakest was Q1 2021, with a decline of 9.4%.
- According to Business Quant data, Operating Expenses for the three prior quarters was $1.14 million (Q3 2025), $1.3 million (Q2 2025) and $1.19 million (Q1 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 376.87 Bn | 348.57 Bn | 7.76 Bn | 16.25 Bn |
| 2 | Amphenol | 208.65 Bn | 203.35 Bn | 3.55 Bn | 963.40 Mn |
| 3 | Deere | 185.97 Bn | 194.73 Bn | 4.66 Bn | 10.73 Bn |
| 4 | Eaton | 167.50 Bn | 164.73 Bn | 2.86 Bn | 1.46 Bn |
| 5 | Parker-Hannifin | 122.25 Bn | 120.39 Bn | 2.25 Bn | 874.00 Mn |
| 6 | Vertiv Holdings | 93.95 Bn | 84.57 Bn | 1.23 Bn | 490.50 Mn |
| 7 | Emerson Electric | 88.90 Bn | 81.65 Bn | 2.66 Bn | 1.34 Bn |
| 8 | 3M | 87.39 Bn | 68.85 Bn | 2.68 Bn | 5.52 Bn |
| 9 | Illinois Tool Works | 78.00 Bn | 74.56 Bn | 1.90 Bn | - |
| 10 | Lifeloc Technologies | 11.70 Mn | 8.36 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 1.24 Mn |
| Sep 30, 2025 | 1.14 Mn |
| Jun 30, 2025 | 1.30 Mn |
| Mar 31, 2025 | 1.19 Mn |
| Dec 31, 2024 | 1.13 Mn |
| Sep 30, 2024 | 1.12 Mn |
| Jun 30, 2024 | 1.39 Mn |
| Mar 31, 2024 | 1.22 Mn |
| Dec 31, 2023 | 1.15 Mn |
| Sep 30, 2023 | 1.10 Mn |
| Jun 30, 2023 | 979,972.00 |
| Mar 31, 2023 | 1.00 Mn |
| Dec 31, 2022 | 904,389.00 |
| Sep 30, 2022 | 878,413.00 |
| Jun 30, 2022 | 923,000.00 |
| Mar 31, 2022 | 1.02 Mn |
| Dec 31, 2021 | 851,247.00 |
| Sep 30, 2021 | 852,287.00 |
| Jun 30, 2021 | 737,665.00 |
| Mar 31, 2021 | 887,810.00 |
API Access
Lifeloc Technologies 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=LCTC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "LCTC", "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=LCTC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();