LataMed AI (LMED) Operating Expenses (2023 - 2026)
LataMed AI's Operating Expenses came in at $43,384 for Q1 2026, up 171.7% from $15,967 a year earlier but down 59.9% from the prior quarter.
LataMed AI (LMED) Operating Expenses (2023 - 2026) Analysis & Trends
Over the trailing twelve months to Mar 31, 2026, LataMed AI reported Operating Expenses of $199,269, down 92.2% year-over-year; for FY2025, it was $171,852, down 94.8% from FY2024.
- Going back by year, Operating Expenses was $3.3 million in FY2024 (+297.8%) and $828,927 in FY2023.
- The five-year range for quarterly Operating Expenses is -$2.13 million (Q4 2023) to $2.94 million (Q3 2023).
- Year-over-year, Operating Expenses increased in 1 of the last six quarters, with an average decline of 30.6%.
- Business Quant data shows LMED's Operating Expenses at $108,096 (Q4 2025), $27,935 (Q3 2025) and $19,854 (Q2 2025) in the three quarters before Q1 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 316.55 Bn | 301.63 Bn | 2.30 Bn | 2.13 Bn |
| 2 | CrowdStrike Holdings | 269.03 Bn | 249.47 Bn | 1.10 Bn | 1.13 Bn |
| 3 | Fortinet | 129.08 Bn | 115.01 Bn | 1.64 Bn | 953.90 Mn |
| 4 | Snowflake | 116.42 Bn | 103.73 Bn | 1.04 Bn | 1.30 Bn |
| 5 | Datadog | 96.40 Bn | 78.04 Bn | 881.34 Mn | 875.89 Mn |
| 6 | Okta | 34.24 Bn | 24.34 Bn | 641.00 Mn | 534.00 Mn |
| 7 | Axon Enterprise | 34.08 Bn | 28.61 Bn | 546.45 Mn | 499.67 Mn |
| 8 | Zscaler | 32.34 Bn | 18.46 Bn | - | - |
| 9 | Baidu | 29.50 Bn | -44.13 Bn | 1.47 Mn | 4.17 Bn |
| 10 | LataMed AI | 3.93 Mn | 3.93 Mn | - | 43,384.00 |
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 43,384.00 |
| Dec 31, 2025 | 108,096.00 |
| Sep 30, 2025 | 27,935.00 |
| Jun 30, 2025 | 19,854.00 |
| Mar 31, 2025 | 15,967.00 |
| Dec 31, 2024 | 981,966.00 |
| Sep 30, 2024 | 33,668.00 |
| Jun 30, 2024 | 1.52 Mn |
| Mar 31, 2024 | 33,054.00 |
| Dec 31, 2023 | -2.13 Mn |
| Sep 30, 2023 | 2.94 Mn |
| Jun 30, 2023 | 10,110.00 |
LataMed AI 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=LMED&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "LMED", "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=LMED&period=max&api_key=YOUR_API_KEY");
const data = await res.json();