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NETFLIX INC: cash and cash equivalents

Cash and cash equivalents for NETFLIX INC. Inspect selected reporting periods, original units and SEC filing links; download the financial history.

All NETFLIX INC financial histories

What this measure means

Cash and qualifying short-term liquid investments under the filer’s accounting policy. Restricted cash and longer-term investments may be reported separately.

Exact concept: us-gaap:CashAndCashEquivalentsAtCarryingValue. 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 2006-12-31 to 2025-12-31. The SEC response was captured on 2026-09-19.

Selected filing history

Cash and cash equivalents in original reported units, latest-filed observation per period
Period startPeriod endValueUnitFiledSource filing
At date2025-12-319,033,681,000USD2026-01-2310-K · 0001065280-26-000034
At date2024-12-317,804,733,000USD2026-01-2310-K · 0001065280-26-000034
At date2023-12-317,116,913,000USD2025-01-2710-K · 0001065280-25-000044
At date2022-12-315,147,176,000USD2024-01-2610-K · 0001065280-24-000030
At date2021-12-316,027,804,000USD2023-01-2610-K · 0001065280-23-000035
At date2020-12-318,205,550,000USD2022-01-2710-K · 0001065280-22-000036
At date2019-12-315,018,437,000USD2021-01-2810-K · 0001065280-21-000040
At date2018-12-313,794,483,000USD2020-01-2910-K · 0001065280-20-000040
At date2017-12-312,822,795,000USD2019-01-2910-K · 0001065280-19-000043
At date2016-12-311,467,576,000USD2018-02-0510-K/A · 0001628280-18-000941
At date2015-12-311,809,330,000USD2018-02-0510-K/A · 0001628280-18-000941
At date2014-12-311,113,608,000USD2018-02-0510-K/A · 0001628280-18-000941
At date2013-12-31604,965,000USD2017-01-2710-K · 0001628280-17-000496
At date2012-12-31290,291,000USD2016-01-2810-K · 0001065280-16-000047
At date2011-12-31508,053,000USD2015-01-2910-K · 0001065280-15-000006
At date2010-12-31194,499,000USD2014-02-0310-K · 0001065280-14-000006
At date2009-12-31134,224,000USD2013-02-0110-K · 0001065280-13-000008
At date2008-12-31139,881,000USD2012-02-1010-K · 0001193125-12-053009
At date2007-12-31177,439,000USD2011-02-1810-K · 0001193125-11-040217
At date2006-12-31400,430,000USD2010-02-2210-K · 0001193125-10-036181

Related financial histories

Inspect the source

Entity
NETFLIX INC / CIK 0001065280
Captured
2026-09-19T11:16:11.489Z
SEC response SHA-256
00f3449073d90dfa3aec4e384de24b70d92d897f90c67d6bca61f23e33d38634

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/0001065280.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"])))