KBS REAL ESTATE INVESTMENT TRUST III, 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 2011-01-01 to 2025-12-31. The SEC response was captured on 2026-09-20.

Selected filing history

Related financial histories

• KBS REAL ESTATE INVESTMENT TRUST III, INC.: total assets
• KBS REAL ESTATE INVESTMENT TRUST III, INC.: total liabilities
• KBS REAL ESTATE INVESTMENT TRUST III, INC.: stockholders equity
• KBS REAL ESTATE INVESTMENT TRUST III, INC.: cash and cash equivalents
• KBS REAL ESTATE INVESTMENT TRUST III, INC.: net income or loss
• KBS REAL ESTATE INVESTMENT TRUST III, INC.: operating cash flow
• KBS REAL ESTATE INVESTMENT TRUST III, INC.: revenue
• KBS REAL ESTATE INVESTMENT TRUST III, INC.: contract revenue excluding tax
• KBS REAL ESTATE INVESTMENT TRUST III, INC.: financing cash flow
• KBS REAL ESTATE INVESTMENT TRUST III, INC.: investing cash flow
• KBS REAL ESTATE INVESTMENT TRUST III, INC.: basic weighted-average shares
• KBS REAL ESTATE INVESTMENT TRUST III, INC.: diluted weighted-average shares
• KBS REAL ESTATE INVESTMENT TRUST III, INC.: basic earnings per share
• KBS REAL ESTATE INVESTMENT TRUST III, INC.: diluted earnings per share
• KBS REAL ESTATE INVESTMENT TRUST III, INC.: operating income or loss
• KBS REAL ESTATE INVESTMENT TRUST III, INC.: interest expense

Inspect the source

Entity

KBS REAL ESTATE INVESTMENT TRUST III, INC. / CIK 0001482430

Captured

2026-09-20T09:09:06.458Z

SEC response SHA-256

b877caa640ce8734f8ebdb9a6b7c6ce9767e821e907e83a538daea28d1fd455a

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/0001482430.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"])))