LataMed AI (LMED) Other Operating Expenses (2023 - 2026)
LataMed AI (LMED) reported Other Operating Expenses of $34,197 for Q1 2026, up 128.0% from $15,000 a year earlier.
LataMed AI (LMED) Other Operating Expenses (2023 - 2026) Analysis & Trends
Over the twelve months ended Mar 31, 2026, LataMed AI's Other Operating Expenses came in at $41,599, down 37.6% year-over-year; for FY2025, it came in at $22,402, down 73.3% from FY2024.
- By year, Other Operating Expenses came in at $84,030 in FY2024 (+27.2%) and $66,049 in FY2023.
- The Q1 2026 figure ranks as the highest quarterly Other Operating Expenses since Q4 2023.
- Year over year, Other Operating Expenses gained in five of the last seven quarters, with growth averaging 46.5%.
- Per Business Quant data, the three quarters before Q1 2026 came in at -$34,598 (Q4 2025), $27,000 (Q3 2025) and $15,000 (Q2 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Palo Alto Networks | 323.81 Bn | 308.88 Bn | 2.30 Bn |
| 2 | CrowdStrike Holdings | 271.09 Bn | 251.53 Bn | 1.10 Bn |
| 3 | Fortinet | 131.14 Bn | 117.07 Bn | 1.64 Bn |
| 4 | Snowflake | 119.71 Bn | 107.03 Bn | 1.04 Bn |
| 5 | Datadog | 98.30 Bn | 79.94 Bn | 881.34 Mn |
| 6 | Okta | 34.95 Bn | 25.05 Bn | 641.00 Mn |
| 7 | Axon Enterprise | 34.32 Bn | 28.85 Bn | 546.45 Mn |
| 8 | Zscaler | 32.52 Bn | 18.64 Bn | - |
| 9 | Baidu | 29.56 Bn | -44.07 Bn | 1.47 Mn |
| 10 | LataMed AI | 3.37 Mn | 3.37 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 34,197.00 |
| Dec 31, 2025 | -34,598.00 |
| Sep 30, 2025 | 27,000.00 |
| Jun 30, 2025 | 15,000.00 |
| Mar 31, 2025 | 15,000.00 |
| Dec 31, 2024 | 30,716.00 |
| Sep 30, 2024 | 12,000.00 |
| Jun 30, 2024 | 8,960.00 |
| Mar 31, 2024 | 32,354.00 |
| Dec 31, 2023 | 40,962.00 |
| Sep 30, 2023 | 6,541.00 |
| Jun 30, 2023 | 8,939.00 |
LataMed AI Other 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=other-operating-expenses&ticker=LMED&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-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=other-operating-expenses&ticker=LMED&period=max&api_key=YOUR_API_KEY");
const data = await res.json();