CTO REALTY GROWTH, INC.: 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 2026-09-19.

Selected filing history

Related financial histories

• CTO REALTY GROWTH, INC.: total assets
• CTO REALTY GROWTH, INC.: total liabilities
• CTO REALTY GROWTH, INC.: stockholders equity
• CTO REALTY GROWTH, INC.: net income or loss
• CTO REALTY GROWTH, INC.: operating cash flow
• CTO REALTY GROWTH, INC.: capital expenditure payments
• CTO REALTY GROWTH, INC.: revenue
• CTO REALTY GROWTH, INC.: financing cash flow
• CTO REALTY GROWTH, INC.: investing cash flow
• CTO REALTY GROWTH, INC.: retained earnings or deficit
• CTO REALTY GROWTH, INC.: basic weighted-average shares
• CTO REALTY GROWTH, INC.: diluted weighted-average shares
• CTO REALTY GROWTH, INC.: basic earnings per share
• CTO REALTY GROWTH, INC.: diluted earnings per share
• CTO REALTY GROWTH, INC.: income tax expense or benefit
• CTO REALTY GROWTH, INC.: net property, plant and equipment
• CTO REALTY GROWTH, INC.: share-based compensation expense
• CTO REALTY GROWTH, INC.: operating income or loss
• CTO REALTY GROWTH, INC.: interest expense
• CTO REALTY GROWTH, INC.: net finite-lived intangible assets
• CTO REALTY GROWTH, INC.: common-stock repurchase payments
• CTO REALTY GROWTH, INC.: operating expenses
• CTO REALTY GROWTH, INC.: gross profit
• CTO REALTY GROWTH, INC.: cost of revenue

Inspect the source

Entity

CTO REALTY GROWTH, INC. / CIK 0000023795

Captured

2026-09-19T14:45:26.980Z

SEC response SHA-256

980342e21cecbd8045a7f0bedb0db28d671142fe64a40a359b8014867dada399

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/0000023795.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"])))