LataMed AI (LMED) Total Debt (2023 - 2026)
LataMed AI (LMED) reported Total Debt of $300,688 for Q1 2026, up 27.6% from $235,728 a year earlier and up 10.4% from the prior quarter.
Analysis
LataMed AI (LMED) Total Debt (2023 - 2026) Analysis & Trends
At the end of FY2025, LataMed AI posted Total Debt of $272,304, up 25.7% from FY2024.
- By year, Total Debt came in at $216,713 in FY2024 (+44.6%) and $149,879 in FY2023.
- The Q1 2026 figure ranks as the highest quarterly Total Debt in data going back to Q4 2023.
- Year over year, Total Debt has now increased in each of the last four quarters, with growth averaging 30.9% over the last five quarters.
- Per Business Quant data, the three quarters before Q1 2026 came in at $272,304 (Q4 2025), $264,414 (Q3 2025) and $250,582 (Q2 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Debt (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 319.55 Bn | 304.63 Bn | 2.30 Bn | - |
| 2 | CrowdStrike Holdings | 265.46 Bn | 245.90 Bn | 1.10 Bn | 746.22 Mn |
| 3 | Fortinet | 129.36 Bn | 115.29 Bn | 1.64 Bn | 496.90 Mn |
| 4 | Snowflake | 115.65 Bn | 102.97 Bn | 1.04 Bn | - |
| 5 | Datadog | 96.45 Bn | 78.09 Bn | 881.34 Mn | - |
| 6 | Axon Enterprise | 34.50 Bn | 29.03 Bn | 546.45 Mn | 1.73 Bn |
| 7 | Okta | 33.79 Bn | 23.89 Bn | 641.00 Mn | - |
| 8 | Zscaler | 32.51 Bn | 18.63 Bn | - | - |
| 9 | Baidu | 29.59 Bn | -44.04 Bn | 1.47 Mn | 10.12 Bn |
| 10 | LataMed AI | 3.93 Mn | 3.93 Mn | - | 300,688.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 300,688.00 |
| Dec 31, 2025 | 272,304.00 |
| Sep 30, 2025 | 264,414.00 |
| Jun 30, 2025 | 250,582.00 |
| Mar 31, 2025 | 235,728.00 |
| Dec 31, 2024 | 216,713.00 |
| Sep 30, 2024 | 207,100.00 |
| Jun 30, 2024 | 194,432.00 |
| Dec 31, 2023 | 149,879.00 |
API Access
LataMed AI Total Debt 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-debt&ticker=LMED&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-debt", "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-debt&ticker=LMED&period=max&api_key=YOUR_API_KEY");
const data = await res.json();