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NICE Ltd.: net inventory

NICE net inventory: $3.39 million at 2019-12-31, down 1.3% on the year. 11 values since 2009 from SEC filings, each linked to its filing. In original units.

All NICE Ltd. financial histories

At a glance

NICE reported net inventory of $3.39 million at 2019-12-31, down 1.3% from $3.43 million a year earlier. From 2009 to 2019 it fell at a compound 13.5% a year, from $14.4 million to $3.39 million. Across the last five reported years it ranged from $3.39 million (2019-12-31) to $6.20 million (2015-12-31). That was 0.1% of total assets ($3.61 billion) at the same date.

Computed from the values in the table below, in USD; each links to the filing it came from.

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 2009-12-31 to 2019-12-31. 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

Net inventory in original reported units, latest-filed observation per period
Period startPeriod endValueUnitFiledSource filing
-2019-12-313,389,000USD2020-04-0620-F · 0001628280-20-004618 SEC
-2018-12-313,434,000USD2020-04-0620-F · 0001628280-20-004618 SEC
-2017-12-313,891,000USD2019-04-0520-F · 0001178913-19-001056 SEC
-2016-12-314,716,000USD2018-03-3020-F · 0001178913-18-001044 SEC
-2015-12-316,198,000USD2017-04-2120-F · 0001178913-17-001193 SEC
-2014-12-316,969,000USD2016-03-2320-F · 0001178913-16-004793 SEC
-2013-12-3113,448,000USD2015-04-0220-F · 0001178913-15-001185 SEC
-2012-12-3113,897,000USD2014-03-2620-F · 0001178913-14-001080 SEC
-2011-12-3113,404,000USD2013-03-2520-F · 0001178913-13-000880 SEC
-2010-12-3110,861,000USD2012-03-2920-F · 0001178913-12-000894 SEC
-2009-12-3114,445,000USD2011-03-3120-F · 0001178913-11-000967 SEC

Related NICE LTD. histories

All 62 NICE histories

Inspect the source

Entity
NICE LTD. / CIK 0001003935
Captured
SEC response SHA-256
a761f6ad27745d56e3552650353a2409dba7cce0b94fae30e6d16124861737bd

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.

The MCP server is free and MIT-licensed: npx -y canli-mcp. If these records help your research, a star on GitHub helps other researchers find them.

Read the published dataset with Python
import json
from urllib.request import urlopen

with urlopen("https://canlicapital.com/company-data/0001003935.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"])))