Apollo Realty Income Solutions, Inc.: common-stock repurchase payments

What this measure means

Cash paid to reacquire common stock during the period. This is not an authorization limit or a direct measure of the net change in share count.

Exact concept: us-gaap:PaymentsForRepurchaseOfCommonStock. Each value covers an annual-duration reporting interval, shown with both start and end dates. Different units remain separate; no currency conversion or interpolation is applied.

Coverage of this history

Selected reporting periods run from 2023-01-01 to 2025-12-31. The SEC response was captured on 2026-09-21.

Selected filing history

Related financial histories

• Apollo Realty Income Solutions, Inc.: total assets
• Apollo Realty Income Solutions, Inc.: total liabilities
• Apollo Realty Income Solutions, Inc.: stockholders equity
• Apollo Realty Income Solutions, Inc.: cash and cash equivalents
• Apollo Realty Income Solutions, Inc.: net income or loss
• Apollo Realty Income Solutions, Inc.: operating cash flow
• Apollo Realty Income Solutions, Inc.: revenue
• Apollo Realty Income Solutions, Inc.: contract revenue excluding tax
• Apollo Realty Income Solutions, Inc.: financing cash flow
• Apollo Realty Income Solutions, Inc.: investing cash flow
• Apollo Realty Income Solutions, Inc.: retained earnings or deficit
• Apollo Realty Income Solutions, Inc.: basic weighted-average shares
• Apollo Realty Income Solutions, Inc.: diluted weighted-average shares
• Apollo Realty Income Solutions, Inc.: basic earnings per share
• Apollo Realty Income Solutions, Inc.: diluted earnings per share
• Apollo Realty Income Solutions, Inc.: operating income or loss
• Apollo Realty Income Solutions, Inc.: interest expense
• Apollo Realty Income Solutions, Inc.: net finite-lived intangible assets
• Apollo Realty Income Solutions, Inc.: operating expenses

Inspect the source

Entity

Apollo Realty Income Solutions, Inc. / CIK 0001882850

Captured

2026-09-21T17:32:58.082Z

SEC response SHA-256

be292a57e8b76d54bbd6b68d9cee6711a3873353b268ef243b7bd20ec4c5e131

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/0001882850.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"])))