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SYNAPTICS INCORPORATED: total assets

Total assets for SYNAPTICS INCORPORATED. Inspect selected reporting periods, original units and SEC filing links; download the financial history.

All SYNAPTICS INCORPORATED financial histories

What this measure means

Resources recognized on the balance sheet. Book assets are not the market value of the business.

Exact concept: us-gaap:Assets. 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 2010-06-26 to 2026-06-27. The SEC response was captured on 2026-09-19.

Selected filing history

Total assets in original reported units, latest-filed observation per period
Period startPeriod endValueUnitFiledSource filing
At date2026-06-272,102,000,000USD2026-08-1010-K · 0000817720-26-000055
At date2025-06-282,584,400,000USD2026-08-1010-K · 0000817720-26-000055
At date2024-06-292,825,000,000USD2025-08-2110-K · 0000817720-25-000073
At date2023-06-242,611,400,000USD2024-08-2310-K · 0000950170-24-100261
At date2022-06-252,858,100,000USD2023-08-1810-K · 0000950170-23-043521
At date2021-06-262,226,800,000USD2022-08-2210-K · 0000950170-22-017628
At date2020-06-271,693,800,000USD2021-08-2310-K · 0001564590-21-045326
At date2019-06-291,409,800,000USD2020-08-2110-K · 0001564590-20-040946
At date2018-06-301,499,800,000USD2019-08-2310-K · 0001564590-19-032908
At date2017-06-241,266,700,000USD2018-08-2410-K · 0001564590-18-022311
At date2016-06-251,300,200,000USD2017-08-1810-K · 0001564590-17-017839
At date2015-06-271,519,400,000USD2016-08-2610-K · 0001564590-16-024739
At date2014-06-281,020,300,000USD2015-08-2510-K · 0001564590-15-007555
At date2013-06-29691,266,000USD2014-08-2210-K · 0001193125-14-318722
At date2012-06-30541,505,000USD2013-08-1910-K · 0001193125-13-339377
At date2011-06-25456,201,000USD2012-09-2110-K/A · 0001193125-12-399914
At date2010-06-26414,679,000USD2011-08-2210-K · 0000950123-11-079162

Related financial histories

Inspect the source

Entity
SYNAPTICS INCORPORATED / CIK 0000817720
Captured
2026-09-19T15:07:00.568Z
SEC response SHA-256
5664a9aa1ff673d66ff5373f204c8531a51738596073393aa7ab8ebc445809b3

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/0000817720.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"])))