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Lowes Companies Inc: goodwill carrying amount

Lowes Companies goodwill carrying amount: $3.94 billion at 2026-01-30, up 1168.5% on the year. 13 values since 2014 from SEC filings, each linked to its filing.

All Lowes Companies Inc financial histories

At a glance

Lowes Companies reported goodwill carrying amount of $3.94 billion at 2026-01-30, up 1168.5% from $311.0 million a year earlier. From 2014 to 2026 it grew at a compound 31.0% a year, from $155.0 million to $3.94 billion. Across the last five reported years it ranged from $311.0 million (2022-01-28) to $3.94 billion (2026-01-30). That was 7.3% of total assets ($54.1 billion) at the same date.

Computed from the values in the table below, in USD; each links to the filing it came from.

What this measure means

Recognized goodwill remaining after accumulated impairment. It arises from business combinations and does not measure the current value of the company’s brand.

Exact concept: us-gaap:Goodwill. 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 2014-01-31 to 2026-01-30. The SEC response was captured on 2026-09-19.

Selected filing history

Goodwill carrying amount in original reported units, latest-filed observation per period
Period startPeriod endValueUnitFiledSource filing
-2026-01-303,945,000,000USD2026-03-2310-K · 0000060667-26-000029 SEC
-2025-01-31311,000,000USD2026-03-2310-K · 0000060667-26-000029 SEC
-2024-02-02311,000,000USD2026-03-2310-K · 0000060667-26-000029 SEC
-2023-02-03311,000,000USD2023-03-2710-K · 0000060667-23-000034 SEC
-2022-01-28311,000,000USD2023-03-2710-K · 0000060667-23-000034 SEC
-2021-01-29311,000,000USD2023-03-2710-K · 0000060667-23-000034 SEC
-2020-01-31303,000,000USD2023-03-2710-K · 0000060667-23-000034 SEC
-2019-02-01303,000,000USD2022-03-2110-K · 0000060667-22-000038 SEC
-2018-02-021,307,000,000USD2021-03-2210-K · 0000060667-21-000026 SEC
-2017-02-031,082,000,000USD2020-03-2310-K · 0000060667-20-000036 SEC
-2016-01-29154,000,000USD2019-04-0210-K · 0000060667-19-000042 SEC
-2015-01-30154,000,000USD2018-04-0210-K · 0000060667-18-000051 SEC
-2014-01-31155,000,000USD2017-04-0410-K · 0000060667-17-000076 SEC

Related LOWES COMPANIES INC histories

All 55 Lowes Companies histories

Inspect the source

Entity
LOWES COMPANIES INC / CIK 0000060667
Captured
SEC response SHA-256
7912551d61433f5e7e863ac602ebf24ee1484699e10aa556534f0055fff2ea7d

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

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Read the published dataset with Python
import json
from urllib.request import urlopen

with urlopen("https://canlicapital.com/company-data/0000060667.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"])))