Londax (LDXC) Gross Margin (2023 - 2026)
Londax (LDXC) posted Gross Margin of 100.00% for fiscal Q4 2026 (quarter ended May 31, 2026), unchanged from the prior quarter.
Analysis
Londax (LDXC) Gross Margin (2023 - 2026) Analysis & Trends
Since fiscal Q2 2024, Londax has reported Gross Margin for 8 quarters.
- In prior fiscal years, Londax's Gross Margin was 81.93% in FY2025 (-18.07 pp) and 100.00% in FY2024.
- On a year-over-year basis, Gross Margin increased in two of the last four quarters, with an average year-over-year change of +5.70 percentage points.
- According to Business Quant data, Gross Margin for the three prior fiscal quarters was 100.00% (Q3 2026), 100.00% (Q2 2026) and 100.00% (Q1 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Gross Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 450.50 Bn | 419.56 Bn | 1.64 Bn | 84.66% |
| 2 | Oracle | 401.01 Bn | 273.57 Bn | - | - |
| 3 | Sap Se | 257.03 Bn | 178.11 Bn | 8.40 Bn | 73.17% |
| 4 | Salesforce | 187.04 Bn | 142.92 Bn | 8.70 Bn | 76.65% |
| 5 | ServiceNow | 135.91 Bn | 114.37 Bn | 2.82 Bn | 70.68% |
| 6 | Automatic Data Processing | 104.14 Bn | 86.27 Bn | 2.51 Bn | 45.88% |
| 7 | Intuit | 72.30 Bn | 51.65 Bn | 3.44 Bn | 79.10% |
| 8 | Relx | 60.17 Bn | 57.14 Bn | - | - |
| 9 | Strategy | 55.31 Bn | 48.30 Bn | 81.55 Mn | 66.64% |
| 10 | Londax | 3.35 Mn | 3.29 Mn | 8,405.00 | 100.00% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| May 31, 2026 | 100.00% |
| Feb 28, 2026 | 100.00% |
| Nov 30, 2025 | 100.00% |
| Aug 31, 2025 | 100.00% |
| Feb 28, 2025 | 77.21% |
| Nov 30, 2024 | 67.32% |
| Aug 31, 2024 | 100.00% |
| Nov 30, 2023 | 100.00% |
API Access
Londax Gross Margin 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=gross-margin&ticker=LDXC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "gross-margin", "ticker": "LDXC", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=gross-margin&ticker=LDXC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();