ORION ENERGY SYSTEMS, INC.: research and development expense

What this measure means

Research and development costs recognized as expense. Capitalization policies and acquired projects can make this differ from total cash invested in development.

Exact concept: us-gaap:ResearchAndDevelopmentExpense. 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

• ORION ENERGY SYSTEMS, INC.: total assets
• ORION ENERGY SYSTEMS, INC.: total liabilities
• ORION ENERGY SYSTEMS, INC.: stockholders equity
• ORION ENERGY SYSTEMS, INC.: cash and cash equivalents
• ORION ENERGY SYSTEMS, INC.: net income or loss
• ORION ENERGY SYSTEMS, INC.: operating cash flow
• ORION ENERGY SYSTEMS, INC.: capital expenditure payments
• ORION ENERGY SYSTEMS, INC.: revenue
• ORION ENERGY SYSTEMS, INC.: financing cash flow
• ORION ENERGY SYSTEMS, INC.: investing cash flow
• ORION ENERGY SYSTEMS, INC.: retained earnings or deficit
• ORION ENERGY SYSTEMS, INC.: basic weighted-average shares
• ORION ENERGY SYSTEMS, INC.: diluted weighted-average shares
• ORION ENERGY SYSTEMS, INC.: basic earnings per share
• ORION ENERGY SYSTEMS, INC.: diluted earnings per share
• ORION ENERGY SYSTEMS, INC.: income tax expense or benefit
• ORION ENERGY SYSTEMS, INC.: net property, plant and equipment
• ORION ENERGY SYSTEMS, INC.: share-based compensation expense
• ORION ENERGY SYSTEMS, INC.: operating income or loss
• ORION ENERGY SYSTEMS, INC.: current assets
• ORION ENERGY SYSTEMS, INC.: interest expense
• ORION ENERGY SYSTEMS, INC.: current liabilities
• ORION ENERGY SYSTEMS, INC.: current accounts payable
• ORION ENERGY SYSTEMS, INC.: goodwill carrying amount
• ORION ENERGY SYSTEMS, INC.: net finite-lived intangible assets
• ORION ENERGY SYSTEMS, INC.: net current accounts receivable
• ORION ENERGY SYSTEMS, INC.: common-stock repurchase payments
• ORION ENERGY SYSTEMS, INC.: operating expenses
• ORION ENERGY SYSTEMS, INC.: net inventory
• ORION ENERGY SYSTEMS, INC.: gross profit
• ORION ENERGY SYSTEMS, INC.: cost of revenue

Inspect the source

Entity

ORION ENERGY SYSTEMS, INC. / CIK 0001409375

Captured

2026-09-20T08:01:40.244Z

SEC response SHA-256

fbd00c87cd7c570f9ceb6c0c016a2c0ac175fe17aa6f720b73244b6b3816ddab

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/0001409375.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"])))