ACM Research, 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 2018-01-01 to 2021-12-31. The SEC response was captured on 2026-09-21.

This selected history ends more than two years before capture. Do not treat its final value as a current balance or current annual result. More recent filings may use another accounting tag; inspect the filings before drawing conclusions about the company.

Selected filing history

Related financial histories

• ACM Research, Inc.: total assets
• ACM Research, Inc.: total liabilities
• ACM Research, Inc.: stockholders equity
• ACM Research, Inc.: cash and cash equivalents
• ACM Research, Inc.: net income or loss
• ACM Research, Inc.: operating cash flow
• ACM Research, Inc.: capital expenditure payments
• ACM Research, Inc.: revenue
• ACM Research, Inc.: contract revenue excluding tax
• ACM Research, Inc.: financing cash flow
• ACM Research, Inc.: investing cash flow
• ACM Research, Inc.: retained earnings or deficit
• ACM Research, Inc.: basic weighted-average shares
• ACM Research, Inc.: diluted weighted-average shares
• ACM Research, Inc.: basic earnings per share
• ACM Research, Inc.: diluted earnings per share
• ACM Research, Inc.: income tax expense or benefit
• ACM Research, Inc.: net property, plant and equipment
• ACM Research, Inc.: share-based compensation expense
• ACM Research, Inc.: operating income or loss
• ACM Research, Inc.: current assets
• ACM Research, Inc.: interest expense
• ACM Research, Inc.: current liabilities
• ACM Research, Inc.: current accounts payable
• ACM Research, Inc.: net finite-lived intangible assets
• ACM Research, Inc.: net current accounts receivable
• ACM Research, Inc.: operating expenses
• ACM Research, Inc.: net inventory
• ACM Research, Inc.: gross profit
• ACM Research, Inc.: cost of revenue
• ACM Research, Inc.: research and development expense

Inspect the source

Entity

ACM Research, Inc. / CIK 0001680062

Captured

2026-09-21T17:24:51.587Z

SEC response SHA-256

e185500cc578a482ad46429531c17500014a00fd83fc52edbacc273da125c0ed

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/0001680062.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"])))