Londax (LDXC) Selling, General & Administrative (2023 - 2026)
Londax (LDXC) reported Selling, General & Administrative of -$1.00 for fiscal Q4 2026 (quarter ended May 31, 2026), compared with $18,016 a year earlier.
Londax (LDXC) Selling, General & Administrative (2023 - 2026) Analysis & Trends
For FY2026 (ended May 31, 2026), Londax posted Selling, General & Administrative of $232.00, down 99.1% from FY2025.
- By fiscal year, Selling, General & Administrative came in at $26,932 in FY2025 (+530.6%) and $4,271 in FY2024.
- The fiscal Q4 2026 figure ranks as the lowest quarterly Selling, General & Administrative in data going back to fiscal Q1 2024.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 456.65 Bn | 425.71 Bn | 1.64 Bn | 194.58 Mn |
| 2 | Oracle | 417.55 Bn | 290.11 Bn | - | 376.00 Mn |
| 3 | Sap Se | 259.04 Bn | 180.13 Bn | 8.40 Bn | -469.59 Mn |
| 4 | Salesforce | 194.78 Bn | 150.65 Bn | 8.70 Bn | 725.00 Mn |
| 5 | ServiceNow | 142.47 Bn | 120.93 Bn | 2.82 Bn | 369.00 Mn |
| 6 | Automatic Data Processing | 105.00 Bn | 87.13 Bn | 2.51 Bn | 1.25 Bn |
| 7 | Intuit | 75.89 Bn | 55.24 Bn | 3.44 Bn | 391.00 Mn |
| 8 | Relx | 60.92 Bn | 57.89 Bn | - | - |
| 9 | Strategy | 56.49 Bn | 49.48 Bn | 81.55 Mn | 39.92 Mn |
| 10 | Londax | 3.35 Mn | 3.29 Mn | 8,405.00 | -1.00 |
Historic Data
| Date | Value |
|---|---|
| May 31, 2026 | -1.00 |
| Nov 30, 2025 | 82.00 |
| Aug 31, 2025 | 151.00 |
| May 31, 2025 | 18,016.00 |
| Feb 28, 2025 | 3,224.00 |
| Nov 30, 2024 | 1,065.00 |
| Aug 31, 2024 | 4,627.00 |
| May 31, 2024 | 4,019.00 |
| Feb 29, 2024 | 231.00 |
| Nov 30, 2023 | 12.00 |
| Aug 31, 2023 | 9.00 |
Londax Selling, General & Administrative 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=selling-general-and-administrative&ticker=LDXC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "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=selling-general-and-administrative&ticker=LDXC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();