OXFORD SQUARE CAPITAL CORP.: cash including restricted cash

What this measure means

Cash, cash equivalents and restricted cash as reported in the cash flow reconciliation. Restricted amounts are not freely available, so this is not the same as unrestricted cash.

Exact concept: us-gaap:CashCashEquivalentsRestrictedCashAndRestrictedCashEquivalents. 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 2019-12-31 to 2025-12-31. The SEC response was captured on 2026-09-20.

Selected filing history

Related financial histories

• OXFORD SQUARE CAPITAL CORP.: total assets
• OXFORD SQUARE CAPITAL CORP.: total liabilities
• OXFORD SQUARE CAPITAL CORP.: stockholders equity
• OXFORD SQUARE CAPITAL CORP.: cash and cash equivalents
• OXFORD SQUARE CAPITAL CORP.: net income or loss
• OXFORD SQUARE CAPITAL CORP.: operating cash flow
• OXFORD SQUARE CAPITAL CORP.: financing cash flow
• OXFORD SQUARE CAPITAL CORP.: retained earnings or deficit
• OXFORD SQUARE CAPITAL CORP.: basic weighted-average shares
• OXFORD SQUARE CAPITAL CORP.: diluted weighted-average shares
• OXFORD SQUARE CAPITAL CORP.: basic earnings per share
• OXFORD SQUARE CAPITAL CORP.: diluted earnings per share
• OXFORD SQUARE CAPITAL CORP.: interest expense
• OXFORD SQUARE CAPITAL CORP.: operating expenses
• OXFORD SQUARE CAPITAL CORP.: common shares outstanding
• OXFORD SQUARE CAPITAL CORP.: additional paid-in capital
• OXFORD SQUARE CAPITAL CORP.: accumulated other comprehensive income or loss
• OXFORD SQUARE CAPITAL CORP.: general and administrative expense
• OXFORD SQUARE CAPITAL CORP.: interest paid, net
• OXFORD SQUARE CAPITAL CORP.: income taxes paid, net
• OXFORD SQUARE CAPITAL CORP.: proceeds from issuing common stock

Inspect the source

Entity

OXFORD SQUARE CAPITAL CORP. / CIK 0001259429

Captured

2026-09-20T07:46:59.969Z

SEC response SHA-256

d82d6f958c7bb0af78912e5287f65cbb3f14d1f28d9351c1de2a8475533f51b8

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/0001259429.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"])))