Diebold Nixdorf, Incorporated: current liabilities

What this measure means

Obligations classified as current under the operating-cycle or one-year boundary. The balance includes more than short-term borrowing.

Exact concept: us-gaap:LiabilitiesCurrent. Each value is a balance at the reporting date, not a flow earned over a year. Different units remain separate; no currency conversion or interpolation is applied.

Coverage of this history

Selected reporting periods run from 2009-12-31 to 2025-12-31. The SEC response was captured on 2026-09-19.

Selected filing history

Related financial histories

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

Inspect the source

Entity

Diebold Nixdorf, Incorporated / CIK 0000028823

Captured

2026-09-19T14:45:54.006Z

SEC response SHA-256

ba56b329856d42c8e1e3211bcdfb316a441b9f14307f620b7e91b887fac9c02a

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/0000028823.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"])))