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Concrete Leveling Systems, Inc.: gross profit

Gross profit for Concrete Leveling Systems, Inc. Inspect selected reporting periods, original units and SEC filing links; download the financial history.

All Concrete Leveling Systems, Inc. financial histories

What this measure means

Revenue less the costs directly attributed to the goods or services sold. It precedes other operating expenses and is not net income.

Exact concept: us-gaap:GrossProfit. 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 2010-08-01 to 2025-07-31. The SEC response was captured on 2026-09-20.

Selected filing history

Gross profit in original reported units, latest-filed observation per period
Period startPeriod endValueUnitFiledSource filing
2024-08-012025-07-31484USD2025-10-2910-K · 0001477932-25-007789
2023-08-012024-07-31549USD2025-10-2910-K · 0001477932-25-007789
2022-08-012023-07-31550USD2024-10-2910-K · 0001477932-24-006729
2021-08-012022-07-31685USD2023-10-3010-K · 0001477932-23-007956
2020-08-012021-07-311,523USD2022-10-2810-K · 0001477932-22-008016
2019-08-012020-07-31485USD2021-10-2910-K · 0001477932-21-007667
2018-08-012019-07-311,033USD2020-10-2910-K · 0001477932-20-006149
2017-08-012018-07-311,019USD2019-10-2910-K · 0001165527-19-000175
2016-08-012017-07-31543USD2018-10-2910-K · 0001165527-18-000207
2015-08-012016-07-31876USD2017-11-0910-K · 0001165527-17-000220
2014-08-012015-07-31237USD2016-10-2610-K · 0001165527-16-000904
2013-08-012014-07-31270USD2015-10-2610-K · 0001165527-15-000509
2012-08-012013-07-3133,688USD2014-10-2410-K · 0001165527-14-000615
2011-08-012012-07-31629USD2013-10-2810-K · 0001165527-13-000900
2010-08-012011-07-3126,633USD2012-10-2910-K · 0001165527-12-001127

Related financial histories

Inspect the source

Entity
Concrete Leveling Systems, Inc. / CIK 0001414382
Captured
2026-09-20T08:02:16.140Z
SEC response SHA-256
9131c8e22da26329fd09854e943c47023de0c7d241c913ee465997805f053c58

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/0001414382.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"])))