Rimini Street, Inc.: operating expenses

What this measure means

Recurring operating costs under this accounting concept, generally excluding production costs included in cost of sales. Check filing presentation before combining expense subtotals.

Exact concept: us-gaap:OperatingExpenses. 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 2015-01-01 to 2025-12-31. The SEC response was captured on 2026-09-21.

Selected filing history

Related financial histories

• Rimini Street, Inc.: total assets
• Rimini Street, Inc.: total liabilities
• Rimini Street, Inc.: stockholders equity
• Rimini Street, Inc.: cash and cash equivalents
• Rimini Street, Inc.: net income or loss
• Rimini Street, Inc.: operating cash flow
• Rimini Street, Inc.: revenue
• Rimini Street, Inc.: financing cash flow
• Rimini Street, Inc.: investing cash flow
• Rimini Street, Inc.: retained earnings or deficit
• Rimini Street, Inc.: basic weighted-average shares
• Rimini Street, Inc.: diluted weighted-average shares
• Rimini Street, Inc.: basic earnings per share
• Rimini Street, Inc.: diluted earnings per share
• Rimini Street, Inc.: income tax expense or benefit
• Rimini Street, Inc.: net property, plant and equipment
• Rimini Street, Inc.: share-based compensation expense
• Rimini Street, Inc.: operating income or loss
• Rimini Street, Inc.: current assets
• Rimini Street, Inc.: interest expense
• Rimini Street, Inc.: current liabilities
• Rimini Street, Inc.: current accounts payable
• Rimini Street, Inc.: net current accounts receivable
• Rimini Street, Inc.: common-stock repurchase payments
• Rimini Street, Inc.: gross profit

Inspect the source

Entity

Rimini Street, Inc. / CIK 0001635282

Captured

2026-09-21T17:21:18.113Z

SEC response SHA-256

d0a201ccf415f1c81de9d192eba04d4f0a45b3f1941b419c525244bcce613569

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/0001635282.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"])))