Londax (LDXC) Net Margin (2023 - 2026)
Londax's Net Margin was -50.61% in fiscal Q4 2026 (quarter ended May 31, 2026), down 137.42 percentage points from the prior quarter.
Londax (LDXC) Net Margin (2023 - 2026) Analysis & Trends
For FY2026 (ended May 31, 2026), Net Margin at Londax came in at -131.85%, down 130.04 percentage points from FY2025.
- In earlier fiscal years, Net Margin was -1.80% in FY2025 (+5.64 pp) and -7.44% in FY2024.
- Quarterly Net Margin has moved between -384.39% (fiscal Q1 2026) and 86.81% (fiscal Q3 2026) over five years.
- Compared with a year earlier, Net Margin was higher in two of the last five quarters, with an average year-over-year change of -149.38 percentage points.
- Per Business Quant data, LDXC's Net Margin in the three fiscal quarters before Q4 2026 was 86.81% (Q3 2026), -338.39% (Q2 2026) and -384.39% (Q1 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Net Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 450.50 Bn | 419.56 Bn | 1.64 Bn | 54.86% |
| 2 | Oracle | 401.01 Bn | 273.57 Bn | - | 24.19% |
| 3 | Sap Se | 257.03 Bn | 178.11 Bn | 8.40 Bn | 22.36% |
| 4 | Salesforce | 187.04 Bn | 142.92 Bn | 8.70 Bn | 31.08% |
| 5 | ServiceNow | 135.91 Bn | 114.37 Bn | 2.82 Bn | 7.47% |
| 6 | Automatic Data Processing | 104.14 Bn | 86.27 Bn | 2.51 Bn | 17.88% |
| 7 | Intuit | 72.30 Bn | 51.65 Bn | 3.44 Bn | 8.34% |
| 8 | Relx | 60.17 Bn | 57.14 Bn | - | - |
| 9 | Strategy | 55.31 Bn | 48.30 Bn | 81.55 Mn | -7,044.56% |
| 10 | Londax | 3.35 Mn | 3.29 Mn | 8,405.00 | -50.61% |
Historic Data
| Date | Value |
|---|---|
| May 31, 2026 | -50.61% |
| Feb 28, 2026 | 86.81% |
| Nov 30, 2025 | -338.39% |
| Aug 31, 2025 | -384.39% |
| Feb 28, 2025 | 9.89% |
| Nov 30, 2024 | 45.22% |
| Aug 31, 2024 | 40.05% |
| Nov 30, 2023 | 75.56% |
| Aug 31, 2023 | 25.49% |
Londax Net 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=net-margin&ticker=LDXC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "net-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=net-margin&ticker=LDXC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();