Gulfport Energy Corp: cash and cash equivalents

What this measure means

Cash and qualifying short-term liquid investments under the filer’s accounting policy. Restricted cash and longer-term investments may be reported separately.

Exact concept: us-gaap:CashAndCashEquivalentsAtCarryingValue. 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

• Gulfport Energy Corp: total assets
• Gulfport Energy Corp: total liabilities
• Gulfport Energy Corp: stockholders equity
• Gulfport Energy Corp: net income or loss
• Gulfport Energy Corp: operating cash flow
• Gulfport Energy Corp: revenue
• Gulfport Energy Corp: financing cash flow
• Gulfport Energy Corp: investing cash flow
• Gulfport Energy Corp: retained earnings or deficit
• Gulfport Energy Corp: basic weighted-average shares
• Gulfport Energy Corp: diluted weighted-average shares
• Gulfport Energy Corp: basic earnings per share
• Gulfport Energy Corp: diluted earnings per share
• Gulfport Energy Corp: income tax expense or benefit
• Gulfport Energy Corp: net property, plant and equipment
• Gulfport Energy Corp: share-based compensation expense
• Gulfport Energy Corp: operating income or loss
• Gulfport Energy Corp: current assets
• Gulfport Energy Corp: interest expense
• Gulfport Energy Corp: current liabilities
• Gulfport Energy Corp: current accounts payable
• Gulfport Energy Corp: net current accounts receivable
• Gulfport Energy Corp: common-stock repurchase payments
• Gulfport Energy Corp: operating expenses
• Gulfport Energy Corp: cost of revenue

Inspect the source

Entity

Gulfport Energy Corp / CIK 0000874499

Captured

2026-09-20T05:00:43.611Z

SEC response SHA-256

7a83327ab85cbe204792b6c8b22f453e47d47d12f8b78e01f2a5b069c56848cd

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/0000874499.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"])))