Londax Corp. (LDXC) Operating Expenses (2023 - 2026)
Londax (LDXC) posted Operating Expenses of $12,660 for fiscal Q4 2026 (quarter ended May 31, 2026), down 49.9% from $25,250 a year earlier and down 3.4% from the prior quarter.
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Londax Corp. (LDXC) Operating Expenses (2023 - 2026) Analysis & Trends
For FY2026 (ended May 31, 2026), Londax's Operating Expenses came in at $77,616, up 39.6% from FY2025.
- Annual Operating Expenses shows a three-year compound annual growth rate of 630.6% (FY2023 to FY2026).
- In prior fiscal years, Londax's Operating Expenses was $55,608 in FY2025 (+104.6%), $27,179 in FY2024 and $199.00 in FY2023.
- The fiscal Q4 2026 figure stands as the lowest quarterly Operating Expenses since fiscal Q3 2025.
- On a year-over-year basis, Operating Expenses increased in six of the last eight quarters, with growth averaging 114.7%.
- The strongest year-over-year quarter for Operating Expenses in the past five years was fiscal Q2 2026, with growth of 508.1%; the weakest was fiscal Q4 2026, with a decline of 49.9%.
- According to Business Quant data, Operating Expenses for the three prior fiscal quarters was $13,109 (Q3 2026), $36,999 (Q2 2026) and $14,848 (Q1 2026).
Peer Set
Peer Comparison
Historic Data
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Historic Data
| Date | Value |
|---|---|
| Aug 31, 2026 | 368,547.00 |
| May 31, 2026 | 12,660.00 |
| Feb 28, 2026 | 13,109.00 |
| Nov 30, 2025 | 36,999.00 |
| Aug 31, 2025 | 14,848.00 |
| May 31, 2025 | 25,250.00 |
| Feb 28, 2025 | 8,863.00 |
| Nov 30, 2024 | 6,084.00 |
| Aug 31, 2024 | 15,411.00 |
| May 31, 2024 | 12,005.00 |
| Feb 29, 2024 | 3,684.00 |
| Nov 30, 2023 | 3,592.00 |
| Aug 31, 2023 | 7,898.00 |
API Access
Londax Corp. Operating Expenses 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-expenses&ticker=LDXC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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-expenses&ticker=LDXC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();