Londax (LDXC) Operating Margin (2023 - 2026)
Londax's Operating Margin came in at -50.61% for fiscal Q4 2026 (quarter ended May 31, 2026), up 5.35 percentage points from the prior quarter.
Londax (LDXC) Operating Margin (2023 - 2026) Analysis & Trends
For FY2026 (ended May 31, 2026), Londax's Operating Margin was -174.04%, down 172.23 percentage points from FY2025.
- Going back by fiscal year, Operating Margin was -1.80% in FY2025 (+5.64 pp) and -7.44% in FY2024.
- The fiscal Q4 2026 figure represents the highest quarterly Operating Margin since fiscal Q3 2025.
- Year-over-year, Operating Margin increased in 1 of the last five quarters, with an average year-over-year change of -177.00 percentage points.
- Business Quant data shows LDXC's Operating Margin at -55.97% (Q3 2026), -340.20% (Q2 2026) and -377.89% (Q1 2026) in the three fiscal quarters before Q4 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Operating Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 450.50 Bn | 419.56 Bn | 1.64 Bn | 47.12% |
| 2 | Oracle | 401.01 Bn | 273.57 Bn | - | 34.78% |
| 3 | Sap Se | 257.03 Bn | 178.11 Bn | 8.40 Bn | 26.76% |
| 4 | Salesforce | 187.04 Bn | 142.92 Bn | 8.70 Bn | 20.55% |
| 5 | ServiceNow | 135.91 Bn | 114.37 Bn | 2.82 Bn | 4.06% |
| 6 | Automatic Data Processing | 104.14 Bn | 86.27 Bn | 2.51 Bn | -33.33% |
| 7 | Intuit | 72.30 Bn | 51.65 Bn | 3.44 Bn | 10.91% |
| 8 | Relx | 60.17 Bn | 57.14 Bn | - | - |
| 9 | Strategy | 55.31 Bn | 48.30 Bn | 81.55 Mn | -6,808.11% |
| 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 | -55.97% |
| Nov 30, 2025 | -340.20% |
| Aug 31, 2025 | -377.89% |
| 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 Operating 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=operating-margin&ticker=LDXC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-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=operating-margin&ticker=LDXC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();