QUANTA SERVICES, INC.: 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 2008-12-31 to 2025-12-31. The SEC response was captured on 2026-09-20.

Selected filing history

Related financial histories

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

Inspect the source

Entity

QUANTA SERVICES, INC. / CIK 0001050915

Captured

2026-09-20T05:17:19.649Z

SEC response SHA-256

0ade68a7b36cb1ef71104428122b0c3c43c98ac84b4f960a3c691c8ac29e4604

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/0001050915.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"])))