LataMed AI (LMED) Total Liabilities (2023 - 2026)
LataMed AI's Total Liabilities was $683,673 in Q1 2026, up 14.3% from $598,030 a year earlier and up 8.4% from the prior quarter.
Analysis
LataMed AI (LMED) Total Liabilities (2023 - 2026) Analysis & Trends
At the end of FY2025, Total Liabilities at LataMed AI came in at $630,860, up 10.0% from FY2024.
- In earlier years, Total Liabilities was $573,575 in FY2024 (+14.6%) and $500,363 in FY2023.
- The Q1 2026 figure marks the highest quarterly Total Liabilities in data going back to Q4 2023.
- Compared with a year earlier, Total Liabilities has increased for four straight quarters, with growth averaging 9.0% over the last five quarters.
- Per Business Quant data, LMED's Total Liabilities in the three quarters before Q1 2026 was $630,860 (Q4 2025), $663,514 (Q3 2025) and $627,212 (Q2 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 319.55 Bn | 304.63 Bn | 2.30 Bn | 20.97 Bn |
| 2 | CrowdStrike Holdings | 265.46 Bn | 245.90 Bn | 1.10 Bn | 6.89 Bn |
| 3 | Fortinet | 129.36 Bn | 115.29 Bn | 1.64 Bn | 9.31 Bn |
| 4 | Snowflake | 115.65 Bn | 102.97 Bn | 1.04 Bn | 6.54 Bn |
| 5 | Datadog | 96.45 Bn | 78.09 Bn | 881.34 Mn | 3.18 Bn |
| 6 | Axon Enterprise | 34.50 Bn | 29.03 Bn | 546.45 Mn | 3.81 Bn |
| 7 | Okta | 33.79 Bn | 23.89 Bn | 641.00 Mn | 2.17 Bn |
| 8 | Zscaler | 32.51 Bn | 18.63 Bn | - | 5.27 Bn |
| 9 | Baidu | 29.59 Bn | -44.04 Bn | 1.47 Mn | 27.69 Bn |
| 10 | LataMed AI | 3.93 Mn | 3.93 Mn | - | 683,673.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 683,673.00 |
| Dec 31, 2025 | 630,860.00 |
| Sep 30, 2025 | 663,514.00 |
| Jun 30, 2025 | 627,212.00 |
| Mar 31, 2025 | 598,030.00 |
| Dec 31, 2024 | 573,575.00 |
| Sep 30, 2024 | 647,971.00 |
| Jun 30, 2024 | 604,490.00 |
| Dec 31, 2023 | 500,363.00 |
API Access
LataMed AI Total Liabilities 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=total-liabilities&ticker=LMED&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=LMED&period=max&api_key=YOUR_API_KEY");
const data = await res.json();