TOYOTA MOTOR CORP/: 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 2008-03-31 to 2020-03-31. The SEC response was captured on 2026-09-19.

This selected history ends more than two years before capture. Do not treat its final value as a current balance or current annual result. More recent filings may use another accounting tag; inspect the filings before drawing conclusions about the company.

Coverage by original unit

• JPY: 2008-03-31 to 2020-03-31. This unit’s selected history ends more than two years before capture.
• USD: 2010-03-31 to 2013-03-31. This unit’s selected history ends more than two years before capture.

These are separate reported series. A newer period in one unit does not update another unit’s history or establish a currency conversion.

Selected filing history

Related financial histories

• TOYOTA MOTOR CORP/: total assets
• TOYOTA MOTOR CORP/: total liabilities
• TOYOTA MOTOR CORP/: stockholders equity
• TOYOTA MOTOR CORP/: cash and cash equivalents
• TOYOTA MOTOR CORP/: net income or loss
• TOYOTA MOTOR CORP/: operating cash flow
• TOYOTA MOTOR CORP/: capital expenditure payments
• TOYOTA MOTOR CORP/: revenue
• TOYOTA MOTOR CORP/: financing cash flow
• TOYOTA MOTOR CORP/: investing cash flow
• TOYOTA MOTOR CORP/: retained earnings or deficit
• TOYOTA MOTOR CORP/: basic weighted-average shares
• TOYOTA MOTOR CORP/: diluted weighted-average shares
• TOYOTA MOTOR CORP/: basic earnings per share
• TOYOTA MOTOR CORP/: diluted earnings per share
• TOYOTA MOTOR CORP/: income tax expense or benefit
• TOYOTA MOTOR CORP/: net property, plant and equipment
• TOYOTA MOTOR CORP/: operating income or loss
• TOYOTA MOTOR CORP/: current assets
• TOYOTA MOTOR CORP/: interest expense
• TOYOTA MOTOR CORP/: current liabilities
• TOYOTA MOTOR CORP/: current accounts payable
• TOYOTA MOTOR CORP/: net inventory
• TOYOTA MOTOR CORP/: selling, general and administrative expense

Inspect the source

Entity

TOYOTA MOTOR CORP/ / CIK 0001094517

Captured

2026-09-19T11:16:25.592Z

SEC response SHA-256

30c2887588106ce96cc955b14024fc0f10e6e752bf0937bd3ed532d077378452

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/0001094517.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"])))