CIRRUS LOGIC, INC.: net inventory
Net inventory for CIRRUS LOGIC, INC. Inspect selected reporting periods, original units and SEC filing links; download the financial history.
All CIRRUS LOGIC, 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 2011-03-26 to 2026-03-28. The SEC response was captured on 2026-09-19.
Selected filing history
| Period start | Period end | Value | Unit | Filed | Source filing |
|---|---|---|---|---|---|
| At date | 2026-03-28 | 240,871,000 | USD | 2026-05-21 | 10-K · 0000772406-26-000018 |
| At date | 2025-03-29 | 299,092,000 | USD | 2026-05-21 | 10-K · 0000772406-26-000018 |
| At date | 2024-03-30 | 227,248,000 | USD | 2025-05-23 | 10-K · 0000772406-25-000014 |
| At date | 2023-03-25 | 233,450,000 | USD | 2024-05-24 | 10-K · 0000772406-24-000031 |
| At date | 2022-03-26 | 138,436,000 | USD | 2023-05-19 | 10-K · 0000772406-23-000019 |
| At date | 2021-03-27 | 173,263,000 | USD | 2022-05-20 | 10-K · 0000772406-22-000014 |
| At date | 2020-03-28 | 146,725,000 | USD | 2021-05-21 | 10-K · 0000772406-21-000013 |
| At date | 2019-03-30 | 164,733,000 | USD | 2020-05-20 | 10-K · 0000772406-20-000007 |
| At date | 2018-04-01 | 205,369,000 | USD | 2019-05-24 | 10-K · 0000772406-19-000008 |
| At date | 2018-03-31 | 205,760,000 | USD | 2019-05-24 | 10-K · 0000772406-19-000008 |
| At date | 2017-03-25 | 167,895,000 | USD | 2018-05-30 | 10-K · 0000772406-18-000007 |
| At date | 2016-03-26 | 142,015,000 | USD | 2017-05-24 | 10-K · 0001193125-17-181625 |
| At date | 2015-03-28 | 84,196,000 | USD | 2016-05-25 | 10-K · 0001193125-16-602269 |
| At date | 2014-03-29 | 69,743,000 | USD | 2015-05-27 | 10-K · 0001193125-15-201883 |
| At date | 2013-03-30 | 119,300,000 | USD | 2014-05-28 | 10-K · 0001193125-14-215076 |
| At date | 2012-03-31 | 55,915,000 | USD | 2013-05-29 | 10-K · 0001193125-13-239492 |
| At date | 2011-03-26 | 40,497,000 | USD | 2012-05-30 | 10-K · 0001206774-12-002462 |
Related financial histories
- CIRRUS LOGIC, INC.: total assets
- CIRRUS LOGIC, INC.: stockholders equity
- CIRRUS LOGIC, INC.: cash and cash equivalents
- CIRRUS LOGIC, INC.: net income or loss
- CIRRUS LOGIC, INC.: operating cash flow
- CIRRUS LOGIC, INC.: capital expenditure payments
- CIRRUS LOGIC, INC.: contract revenue excluding tax
- CIRRUS LOGIC, INC.: financing cash flow
- CIRRUS LOGIC, INC.: investing cash flow
- CIRRUS LOGIC, INC.: retained earnings or deficit
- CIRRUS LOGIC, INC.: basic weighted-average shares
- CIRRUS LOGIC, INC.: diluted weighted-average shares
- CIRRUS LOGIC, INC.: basic earnings per share
- CIRRUS LOGIC, INC.: diluted earnings per share
- CIRRUS LOGIC, INC.: income tax expense or benefit
- CIRRUS LOGIC, INC.: net property, plant and equipment
- CIRRUS LOGIC, INC.: share-based compensation expense
- CIRRUS LOGIC, INC.: operating income or loss
- CIRRUS LOGIC, INC.: current assets
- CIRRUS LOGIC, INC.: interest expense
- CIRRUS LOGIC, INC.: current liabilities
- CIRRUS LOGIC, INC.: current accounts payable
- CIRRUS LOGIC, INC.: goodwill carrying amount
- CIRRUS LOGIC, INC.: net finite-lived intangible assets
- CIRRUS LOGIC, INC.: net current accounts receivable
- CIRRUS LOGIC, INC.: common-stock repurchase payments
- CIRRUS LOGIC, INC.: operating expenses
- CIRRUS LOGIC, INC.: gross profit
- CIRRUS LOGIC, INC.: selling, general and administrative expense
- CIRRUS LOGIC, INC.: research and development expense
Inspect the source
- Entity
- CIRRUS LOGIC, INC. / CIK 0000772406
- Captured
- 2026-09-19T11:14:27.550Z
- SEC response SHA-256
ab4182ddcb4821b0331d7853e8245cf3fd6ab19f427d0604c25e87fa4fee96c6
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/0000772406.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"])))