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CLARUS CORPORATION: research and development expense

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

All CLARUS 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 2010-01-01 to 2025-12-31. The SEC response was captured on 2026-09-19.

Selected filing history

Research and development expense in original reported units, latest-filed observation per period
Period startPeriod endValueUnitFiledSource filing
2025-01-012025-12-3111,928,000USD2026-03-0510-K · 0001104659-26-024159
2024-01-012024-12-3112,171,000USD2026-03-0510-K · 0001104659-26-024159
2023-01-012023-12-3112,740,000USD2026-03-0510-K · 0001104659-26-024159
2022-01-012022-12-3113,029,000USD2025-03-0610-K · 0001558370-25-002405
2021-01-012021-12-3110,406,000USD2024-03-0710-K · 0001558370-24-002739
2020-01-012020-12-3110,159,000USD2023-02-2710-K · 0001104659-23-026079
2019-01-012019-12-3110,575,000USD2022-03-0710-K · 0001104659-22-031076
2018-01-012018-12-319,471,000USD2021-03-0810-K · 0001104659-21-033312
2017-01-012017-12-317,984,000USD2020-03-0910-K · 0001104659-20-030817
2016-01-012016-12-316,598,000USD2019-03-0410-K · 0001144204-19-011981
2015-01-012015-12-317,469,000USD2018-03-1210-K · 0001144204-18-014109
2014-01-012014-12-317,335,000USD2017-03-0610-K · 0001144204-17-013023
2013-01-012013-12-316,491,000USD2016-03-1510-K · 0001144204-16-088182
2012-01-012012-12-314,239,000USD2015-03-1610-K · 0001144204-15-016399
2011-01-012011-12-314,690,000USD2014-03-0410-K · 0001144204-14-013105
2010-01-012010-12-312,436,000USD2013-03-1210-K · 0001144204-13-014342

Related financial histories

Inspect the source

Entity
CLARUS CORPORATION / CIK 0000913277
Captured
2026-09-19T11:15:21.365Z
SEC response SHA-256
7f64b619a33dfde90a8c61c8fae4e9d42bcee8979ea5dcff0001d3fe99b360ed

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/0000913277.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"])))