Londax (LDXC) Retained Earnings (2023 - 2026)
Londax's Retained Earnings came in at -$40,622 for fiscal Q4 2026 (quarter ended May 31, 2026), compared with -$3,279 a year earlier.
Analysis
Londax (LDXC) Retained Earnings (2023 - 2026) Analysis & Trends
Going back to fiscal Q4 2023, Londax's Retained Earnings data covers 12 quarters.
- Going back by fiscal year, Retained Earnings was -$3,279 in FY2025, -$2,081 in FY2024 and -$199.00 in FY2023.
- The five-year range for quarterly Retained Earnings is -$43,664 (fiscal Q2 2026) to $21,971 (fiscal Q3 2025).
- Business Quant data shows LDXC's Retained Earnings at -$36,368 (Q3 2026), -$43,664 (Q2 2026) and -$15,222 (Q1 2026) in the three fiscal quarters before Q4 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Retained Earnings (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 450.50 Bn | 419.56 Bn | 1.64 Bn | -1.63 Bn |
| 2 | Oracle | 401.01 Bn | 273.57 Bn | - | -1.11 Bn |
| 3 | Sap Se | 257.03 Bn | 178.11 Bn | 8.40 Bn | 56.47 Bn |
| 4 | Salesforce | 187.04 Bn | 142.92 Bn | 8.70 Bn | 27.11 Bn |
| 5 | ServiceNow | 135.91 Bn | 114.37 Bn | 2.82 Bn | 6.01 Bn |
| 6 | Automatic Data Processing | 104.14 Bn | 86.27 Bn | 2.51 Bn | 26.97 Bn |
| 7 | Intuit | 72.30 Bn | 51.65 Bn | 3.44 Bn | 19.05 Bn |
| 8 | Relx | 60.17 Bn | 57.14 Bn | - | - |
| 9 | Strategy | 55.31 Bn | 48.30 Bn | 81.55 Mn | -15.20 Bn |
| 10 | Londax | 3.35 Mn | 3.29 Mn | 8,405.00 | -40,622.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| May 31, 2026 | -40,622.00 |
| Feb 28, 2026 | -36,368.00 |
| Nov 30, 2025 | -43,664.00 |
| Aug 31, 2025 | -15,222.00 |
| May 31, 2025 | -3,279.00 |
| Feb 28, 2025 | 21,971.00 |
| Nov 30, 2024 | 20,669.00 |
| Aug 31, 2024 | 8,216.00 |
| May 31, 2024 | -2,081.00 |
| Feb 29, 2024 | 9,924.00 |
| Nov 30, 2023 | 13,608.00 |
| May 31, 2023 | -199.00 |
API Access
Londax Retained Earnings 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=retained-earnings&ticker=LDXC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "retained-earnings", "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=retained-earnings&ticker=LDXC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();