FREQUENCY HOLDINGS INC: net inventory
Net inventory for FREQUENCY HOLDINGS INC. Inspect selected reporting periods, original units and SEC filing links; download the financial history.
All FREQUENCY HOLDINGS INC financial histories
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 2020-10-31 to 2024-12-31. The SEC response was captured on 2026-09-21.
Selected filing history
| Period start | Period end | Value | Unit | Filed | Source filing |
|---|---|---|---|---|---|
| At date | 2024-12-31 | 0 | USD | 2025-04-15 | 10-K · 0001829126-25-002695 |
| At date | 2023-12-31 | 0 | USD | 2025-04-15 | 10-K · 0001829126-25-002695 |
| At date | 2022-10-31 | 56,212 | USD | 2024-02-15 | 10-K · 0001829126-24-000965 |
| At date | 2021-10-31 | 56,212 | USD | 2023-02-14 | 10-K · 0001683168-23-000895 |
| At date | 2020-10-31 | 202,724 | USD | 2022-01-31 | 10-K · 0001683168-22-000568 |
Related financial histories
- FREQUENCY HOLDINGS INC: total assets
- FREQUENCY HOLDINGS INC: total liabilities
- FREQUENCY HOLDINGS INC: stockholders equity
- FREQUENCY HOLDINGS INC: cash and cash equivalents
- FREQUENCY HOLDINGS INC: net income or loss
- FREQUENCY HOLDINGS INC: operating cash flow
- FREQUENCY HOLDINGS INC: revenue
- FREQUENCY HOLDINGS INC: financing cash flow
- FREQUENCY HOLDINGS INC: investing cash flow
- FREQUENCY HOLDINGS INC: retained earnings or deficit
- FREQUENCY HOLDINGS INC: basic weighted-average shares
- FREQUENCY HOLDINGS INC: diluted weighted-average shares
- FREQUENCY HOLDINGS INC: basic earnings per share
- FREQUENCY HOLDINGS INC: diluted earnings per share
- FREQUENCY HOLDINGS INC: net property, plant and equipment
- FREQUENCY HOLDINGS INC: operating income or loss
- FREQUENCY HOLDINGS INC: current assets
- FREQUENCY HOLDINGS INC: interest expense
- FREQUENCY HOLDINGS INC: current liabilities
- FREQUENCY HOLDINGS INC: current accounts payable
- FREQUENCY HOLDINGS INC: net current accounts receivable
- FREQUENCY HOLDINGS INC: operating expenses
- FREQUENCY HOLDINGS INC: gross profit
- FREQUENCY HOLDINGS INC: cost of revenue
Inspect the source
- Entity
- FREQUENCY HOLDINGS INC / CIK 0001624517
- Captured
- 2026-09-21T17:21:58.084Z
- SEC response SHA-256
c0303fcff6d251af0679b620c069197852d31c0d1e0af6ac0daaae9fba7bb5fb
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
Read the published dataset with Python
import json
from urllib.request import urlopen
with urlopen("https://canlicapital.com/company-data/0001624517.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"])))