Skip to content

CARLISLE COMPANIES INCORPORATED: net income or loss

Net income or loss for CARLISLE COMPANIES INCORPORATED. Inspect selected reporting periods, original units and SEC filing links; download the financial history.

All CARLISLE COMPANIES INCORPORATED financial histories

What this measure means

Reported profit or loss for the period. Check the filing for attribution, exceptional items and discontinued operations before comparing companies.

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

Selected filing history

Net income or loss in original reported units, latest-filed observation per period
Period startPeriod endValueUnitFiledSource filing
2025-01-012025-12-31740,700,000USD2026-02-1310-K · 0000790051-26-000012
2024-01-012024-12-311,311,800,000USD2026-02-1310-K · 0000790051-26-000012
2023-01-012023-12-31767,400,000USD2026-02-1310-K · 0000790051-26-000012
2022-01-012022-12-31924,000,000USD2025-02-1410-K · 0000790051-25-000077
2021-01-012021-12-31421,700,000USD2024-02-1610-K · 0000790051-24-000058
2020-01-012020-12-31320,100,000USD2023-02-2210-K/A · 0000790051-23-000046
2019-01-012019-12-31472,800,000USD2022-02-1710-K · 0000790051-22-000061
2018-01-012018-12-31611,100,000USD2021-02-1110-K · 0000790051-21-000080
2017-01-012017-12-31365,500,000USD2020-02-1010-K · 0000790051-20-000071
2016-01-012016-12-31250,100,000USD2019-02-1410-K · 0000790051-19-000070
2015-01-012015-12-31319,700,000USD2018-02-1610-K · 0000790051-18-000095
2014-01-012014-12-31251,300,000USD2017-02-1310-K · 0001558370-17-000547
2013-01-012013-12-31209,700,000USD2016-02-0810-K · 0001047469-16-010052
2012-01-012012-12-31270,200,000USD2015-02-1010-K · 0001047469-15-000691
2011-01-012011-12-31180,300,000USD2014-02-1910-K · 0001047469-14-001036
2010-01-012010-12-31145,600,000USD2013-02-1210-K · 0001047469-13-000898
2009-01-012009-12-31144,600,000USD2012-02-1010-K · 0001047469-12-000814

Related financial histories

Inspect the source

Entity
CARLISLE COMPANIES INCORPORATED / CIK 0000790051
Captured
2026-09-19T15:04:10.649Z
SEC response SHA-256
2e712afabc34df87d9a6e0e8492cae3f8732881adefb177e12ad142e15f8ae59

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/0000790051.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"])))