TITAN MACHINERY INC.: revenue

What this measure means

Revenue under this specific accounting concept. A missing value is not zero; filers can use other revenue concepts.

Exact concept: us-gaap:Revenues. 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 2009-02-01 to 2026-01-31. The SEC response was captured on 2026-09-20.

Selected filing history

Related financial histories

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

Inspect the source

Entity

TITAN MACHINERY INC. / CIK 0001409171

Captured

2026-09-20T08:01:35.653Z

SEC response SHA-256

18da792cd05c54668b15b8d5c2e875bad6ef1d02b084e64f91d4478fa1662d2a

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/0001409171.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"])))