REFLECT SCIENTIFIC, INC.: net inventory

What this measure means

Inventory carrying amount after applicable valuation and LIFO reserves. It does not establish realizable selling proceeds or inventory turnover without other inputs.

Exact concept: us-gaap:InventoryNet. Each value is a balance at the reporting date, not a flow earned over a year. Different units remain separate; no currency conversion or interpolation is applied.

Coverage of this history

Selected reporting periods run from 2010-12-31 to 2023-12-31. The SEC response was captured on 2026-09-20.

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

• REFLECT SCIENTIFIC, INC.: total assets
• REFLECT SCIENTIFIC, INC.: total liabilities
• REFLECT SCIENTIFIC, INC.: stockholders equity
• REFLECT SCIENTIFIC, INC.: cash and cash equivalents
• REFLECT SCIENTIFIC, INC.: net income or loss
• REFLECT SCIENTIFIC, INC.: operating cash flow
• REFLECT SCIENTIFIC, INC.: revenue
• REFLECT SCIENTIFIC, INC.: financing cash flow
• REFLECT SCIENTIFIC, INC.: investing cash flow
• REFLECT SCIENTIFIC, INC.: retained earnings or deficit
• REFLECT SCIENTIFIC, INC.: basic weighted-average shares
• REFLECT SCIENTIFIC, INC.: diluted weighted-average shares
• REFLECT SCIENTIFIC, INC.: basic earnings per share
• REFLECT SCIENTIFIC, INC.: diluted earnings per share
• REFLECT SCIENTIFIC, INC.: income tax expense or benefit
• REFLECT SCIENTIFIC, INC.: net property, plant and equipment
• REFLECT SCIENTIFIC, INC.: share-based compensation expense
• REFLECT SCIENTIFIC, INC.: operating income or loss
• REFLECT SCIENTIFIC, INC.: current assets
• REFLECT SCIENTIFIC, INC.: interest expense
• REFLECT SCIENTIFIC, INC.: current liabilities
• REFLECT SCIENTIFIC, INC.: current accounts payable
• REFLECT SCIENTIFIC, INC.: goodwill carrying amount
• REFLECT SCIENTIFIC, INC.: net current accounts receivable
• REFLECT SCIENTIFIC, INC.: operating expenses
• REFLECT SCIENTIFIC, INC.: gross profit
• REFLECT SCIENTIFIC, INC.: research and development expense

Inspect the source

Entity

REFLECT SCIENTIFIC, INC. / CIK 0001103090

Captured

2026-09-20T05:23:12.214Z

SEC response SHA-256

813550c8006e4fa44b9a7a7762a98655bae3a221b94d07ff4c5994f0aef8e605

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/0001103090.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"])))