TAL Education Group: operating expenses

What this measure means

Recurring operating costs under this accounting concept, generally excluding production costs included in cost of sales. Check filing presentation before combining expense subtotals.

Exact concept: us-gaap:OperatingExpenses. 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 2009-03-01 to 2026-02-28. The SEC response was captured on 2026-09-20.

Selected filing history

Related financial histories

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

Inspect the source

Entity

TAL Education Group / CIK 0001499620

Captured

2026-09-20T09:11:21.617Z

SEC response SHA-256

2cf3cee36c550e20279fe31e0f7f4f94e59ff4a5f28f19525cbc2796bcdf2297

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/0001499620.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"])))