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TEVA PHARMACEUTICAL INDUSTRIES LIMITED: net inventory

Net inventory for TEVA PHARMACEUTICAL INDUSTRIES LIMITED. Inspect selected reporting periods, original units and SEC filing links; download the financial history.

All TEVA PHARMACEUTICAL INDUSTRIES LIMITED 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 2008-12-31 to 2025-12-31. The SEC response was captured on 2026-09-19.

Selected filing history

Net inventory in original reported units, latest-filed observation per period
Period startPeriod endValueUnitFiledSource filing
At date2025-12-313,179,000,000USD2026-02-0310-K · 0001193125-26-034532
At date2024-12-313,007,000,000USD2026-02-0310-K · 0001193125-26-034532
At date2023-12-314,021,000,000USD2025-02-0510-K · 0001193125-25-020826
At date2022-12-313,833,000,000USD2024-02-1210-K · 0001193125-24-031005
At date2021-12-313,818,000,000USD2023-02-1010-K · 0001193125-23-031250
At date2020-12-314,403,000,000USD2022-02-0910-K · 0001193125-22-032667
At date2019-12-314,422,000,000USD2021-02-1010-K · 0001193125-21-036239
At date2018-12-314,731,000,000USD2020-02-2110-K · 0001193125-20-044221
At date2017-12-314,924,000,000USD2019-02-1910-K · 0001193125-19-043564
At date2016-12-314,954,000,000USD2018-02-1210-K · 0001193125-18-039076
At date2015-12-313,966,000,000USD2017-02-1520-F · 0001193125-17-045463
At date2014-12-314,371,000,000USD2016-02-1120-F · 0001193125-16-459785
At date2013-12-315,053,000,000USD2015-02-0920-F · 0001193125-15-039151
At date2012-12-315,502,000,000USD2014-02-1020-F · 0001193125-14-041871
At date2011-12-315,012,000,000USD2013-02-1220-F · 0001193125-13-050510
At date2010-12-313,866,000,000USD2012-02-1720-F · 0001193125-12-067417
At date2009-12-313,332,000,000USD2011-02-1520-F · 0001193125-11-036753
At date2008-12-313,396,000,000USD2010-02-2220-F · 0001193125-10-036435

Related financial histories

Inspect the source

Entity
TEVA PHARMACEUTICAL INDUSTRIES LIMITED / CIK 0000818686
Captured
2026-09-19T15:07:07.385Z
SEC response SHA-256
f2c93c1e5a25cb18cb0b293c07294b344882e3789d9edd47f98fdd8c904c6c6d

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.

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

with urlopen("https://canlicapital.com/company-data/0000818686.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"])))