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Immersion Corporation: research and development expense

Research and development expense for Immersion Corporation. Inspect selected reporting periods, original units and SEC filing links; download the financial history.

All Immersion Corporation financial histories

What this measure means

Research and development costs recognized as expense. Capitalization policies and acquired projects can make this differ from total cash invested in development.

Exact concept: us-gaap:ResearchAndDevelopmentExpense. Each value covers an annual-duration reporting interval, shown with both start and end dates. Different units remain separate; no currency conversion or interpolation is applied.

Coverage of this history

Selected reporting periods run from 2009-01-01 to 2023-12-31. 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

Research and development expense in original reported units, latest-filed observation per period
Period startPeriod endValueUnitFiledSource filing
2023-01-012023-12-31281,000USD2024-03-1110-K · 0001213900-24-021235
2022-01-012022-12-311,380,000USD2024-03-1110-K · 0001213900-24-021235
2021-01-012021-12-314,150,000USD2023-02-2210-K · 0001628280-23-004561
2020-01-012020-12-315,014,000USD2022-02-2510-K · 0001628280-22-004000
2019-01-012019-12-317,840,000USD2021-03-0510-K · 0001628280-21-003998
2018-01-012018-12-319,727,000USD2020-03-0610-K · 0001628280-20-003100
2017-01-012017-12-3111,759,000USD2020-03-0610-K · 0001628280-20-003100
2016-01-012016-12-3113,388,000USD2019-02-2710-K · 0001628280-19-002045
2015-01-012015-12-3114,785,000USD2018-02-2710-K · 0001628280-18-002309
2014-01-012014-12-3111,793,000USD2017-03-0310-K · 0001058811-17-000009
2013-01-012013-12-3110,883,000USD2016-02-2610-K · 0001058811-16-000019
2012-01-012012-12-318,421,000USD2015-02-2710-K · 0001193125-15-069693
2011-01-012011-12-318,386,000USD2014-02-2710-K · 0001193125-14-072940
2010-01-012010-12-318,738,000USD2013-03-0610-K · 0001193125-13-093838
2009-01-012009-12-3112,493,000USD2012-03-0510-K · 0001193125-12-096776

Related financial histories

Inspect the source

Entity
Immersion Corporation / CIK 0001058811
Captured
2026-09-20T05:18:06.830Z
SEC response SHA-256
e814bf379d31a6f578b1bd7dcd50c6ed594e2fe05c2d9ef7e76ca3b77e554136

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/0001058811.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"])))