ORIX CORP: 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 2007-04-01 to 2026-03-31. The SEC response was captured on 2026-09-20.

Coverage by original unit

• JPY: 2007-04-01 to 2026-03-31.
• USD: 2009-04-01 to 2011-03-31. This unit’s selected history ends more than two years before capture.

These are separate reported series. A newer period in one unit does not update another unit’s history or establish a currency conversion.

Selected filing history

Related financial histories

• ORIX CORP: total assets
• ORIX CORP: total liabilities
• ORIX CORP: stockholders equity
• ORIX CORP: cash and cash equivalents
• ORIX CORP: net income or loss
• ORIX CORP: operating cash flow
• ORIX CORP: revenue
• ORIX CORP: contract revenue excluding tax
• ORIX CORP: financing cash flow
• ORIX CORP: investing cash flow
• ORIX CORP: retained earnings or deficit
• ORIX CORP: basic weighted-average shares
• ORIX CORP: diluted weighted-average shares
• ORIX CORP: basic earnings per share
• ORIX CORP: diluted earnings per share
• ORIX CORP: income tax expense or benefit
• ORIX CORP: operating income or loss
• ORIX CORP: interest expense
• ORIX CORP: goodwill carrying amount
• ORIX CORP: net finite-lived intangible assets
• ORIX CORP: net inventory
• ORIX CORP: selling, general and administrative expense

Inspect the source

Entity

ORIX CORP / CIK 0001070304

Captured

2026-09-20T05:19:33.345Z

SEC response SHA-256

840599464331cce743116683306fa64ccc0abd9af61b43ae31692d2f35406a02

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/0001070304.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"])))