SMART SAND, 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 2014-01-01 to 2025-12-31. The SEC response was captured on 2026-09-20.

Selected filing history

Related financial histories

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

Inspect the source

Entity

SMART SAND, INC. / CIK 0001529628

Captured

2026-09-20T09:15:54.696Z

SEC response SHA-256

35ee91f4fc6c42eb7a40cd04f31885892b7d520504df69a225904d18fc0114fc

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/0001529628.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"])))