LEGACY EDUCATION INC.: net property, plant and equipment
Net property, plant and equipment for LEGACY EDUCATION INC. Inspect selected reporting periods, original units and SEC filing links; download the financial history.
All LEGACY EDUCATION INC. financial histories
What this measure means
Carrying amount of property, plant and equipment after accumulated depreciation, depletion and amortization. It is not replacement cost or market value.
Exact concept: us-gaap:PropertyPlantAndEquipmentNet. Each value is a balance at the reporting date, not a flow earned over a year. Different units remain separate; no currency conversion or interpolation is applied.
Coverage of this history
Selected reporting periods run from 2023-06-30 to 2025-06-30. The SEC response was captured on 2026-09-21.
Selected filing history
| Period start | Period end | Value | Unit | Filed | Source filing |
|---|---|---|---|---|---|
| At date | 2025-06-30 | 2,484,304 | USD | 2025-09-25 | 10-K · 0001493152-25-014945 |
| At date | 2024-06-30 | 989,952 | USD | 2025-09-25 | 10-K · 0001493152-25-014945 |
| At date | 2023-06-30 | 680,073 | USD | 2024-10-01 | 10-K · 0001493152-24-038926 |
Related financial histories
- LEGACY EDUCATION INC.: total assets
- LEGACY EDUCATION INC.: total liabilities
- LEGACY EDUCATION INC.: stockholders equity
- LEGACY EDUCATION INC.: cash and cash equivalents
- LEGACY EDUCATION INC.: net income or loss
- LEGACY EDUCATION INC.: operating cash flow
- LEGACY EDUCATION INC.: capital expenditure payments
- LEGACY EDUCATION INC.: contract revenue excluding tax
- LEGACY EDUCATION INC.: financing cash flow
- LEGACY EDUCATION INC.: investing cash flow
- LEGACY EDUCATION INC.: retained earnings or deficit
- LEGACY EDUCATION INC.: basic weighted-average shares
- LEGACY EDUCATION INC.: diluted weighted-average shares
- LEGACY EDUCATION INC.: basic earnings per share
- LEGACY EDUCATION INC.: diluted earnings per share
- LEGACY EDUCATION INC.: income tax expense or benefit
- LEGACY EDUCATION INC.: operating income or loss
- LEGACY EDUCATION INC.: current assets
- LEGACY EDUCATION INC.: current liabilities
- LEGACY EDUCATION INC.: goodwill carrying amount
- LEGACY EDUCATION INC.: net current accounts receivable
- LEGACY EDUCATION INC.: operating expenses
Inspect the source
- Entity
- LEGACY EDUCATION INC. / CIK 0001836754
- Captured
- 2026-09-21T17:29:48.069Z
- SEC response SHA-256
bf6038e53a013ce04ae5c0ed0ab6dc9303ebbea10fd3d9a5e1a6cf58a9717030
Current SEC company facts · Download the original response snapshot (gzip) · Download the selected JSON
Latest-filed annual-report facts per unit and reporting period at capture time. Duration facts cover 300 to 400 days. This selection can include restatements and is not a point-in-time backtest dataset. Missing concepts are omitted, never zero-filled. Values retain original units and are not currency converted. Extended concepts require compatible unit shapes and at least three reporting ends with changing values within one unit. Constant or incompatible added histories are omitted.
Public company accounting reference, not market prices, returns, an investment recommendation, or ALPHAC performance. Validate a separately constructed return series with the validation API; accounting values are not returns.
Use this in research
A financial period ends before its results become public. Use the filing date as a minimum availability boundary, inspect amendments, and retain the original filing vintage when testing historical signals. This latest-filed selection can contain information unavailable at the time.
These pages do not supply prices, total-return histories, corporate-action adjustments or a tradable universe. Build those inputs separately before evaluating a strategy. A profitable backtest can still reflect selection bias or costs that were left out.
Research methodology · Execution and cost assumptions · Check backtest overfitting
Build with the open-source tools
Use these accounting records as inspectable inputs. When you have constructed a return series, the validation tools can help test its statistical evidence and preserve the result with its limitations.
- Get an API key and run your first validation
- Connect the MCP server to your coding assistant
- Inspect the ALPHAC engine on GitHub
- Read the MCP server source and integration examples
Read the published dataset with Python
import json
from urllib.request import urlopen
with urlopen("https://canlicapital.com/company-data/0001836754.json") as response:
record = json.load(response)
print(record["fetched_at"])
print(record["policy"])
for concept in record["concepts"]:
print(concept["tag"], next(iter(concept["observations"])))