ePlus inc.: share-based compensation expense

What this measure means

Reported noncash expense for share-based payment arrangements. Noncash treatment does not mean the awards have no economic cost to shareholders.

Exact concept: us-gaap:ShareBasedCompensation. Each value covers an annual-duration reporting interval, shown with both start and end dates. Different units remain separate; no currency conversion or interpolation is applied.

Coverage of this history

Selected reporting periods run from 2009-04-01 to 2026-03-31. The SEC response was captured on 2026-09-20.

Selected filing history

Related financial histories

• ePlus inc.: total assets
• ePlus inc.: total liabilities
• ePlus inc.: stockholders equity
• ePlus inc.: cash and cash equivalents
• ePlus inc.: net income or loss
• ePlus inc.: operating cash flow
• ePlus inc.: capital expenditure payments
• ePlus inc.: revenue
• ePlus inc.: contract revenue excluding tax
• ePlus inc.: financing cash flow
• ePlus inc.: investing cash flow
• ePlus inc.: retained earnings or deficit
• ePlus inc.: basic weighted-average shares
• ePlus inc.: diluted weighted-average shares
• ePlus inc.: basic earnings per share
• ePlus inc.: diluted earnings per share
• ePlus inc.: income tax expense or benefit
• ePlus inc.: net property, plant and equipment
• ePlus inc.: operating income or loss
• ePlus inc.: current assets
• ePlus inc.: interest expense
• ePlus inc.: current liabilities
• ePlus inc.: current accounts payable
• ePlus inc.: goodwill carrying amount
• ePlus inc.: net finite-lived intangible assets
• ePlus inc.: net current accounts receivable
• ePlus inc.: common-stock repurchase payments
• ePlus inc.: operating expenses
• ePlus inc.: net inventory
• ePlus inc.: gross profit
• ePlus inc.: selling, general and administrative expense

Inspect the source

Entity

ePlus inc. / CIK 0001022408

Captured

2026-09-20T05:13:38.090Z

SEC response SHA-256

aaacbdaf484bae0429f9ce366e1c9a1b89143134e1a131f27b78a3d19d6cbdbe

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

import json
from urllib.request import urlopen

with urlopen("https://canlicapital.com/company-data/0001022408.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"])))