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MOVADO GROUP, INC.: current assets

Current assets for MOVADO GROUP, INC. Inspect selected reporting periods, original units and SEC filing links; download the financial history.

All MOVADO GROUP, INC. financial histories

What this measure means

Assets classified as current under the normal operating cycle or one-year boundary. Not all current assets can be converted immediately into cash.

Exact concept: us-gaap:AssetsCurrent. 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 2011-01-31 to 2026-01-31. The SEC response was captured on 2026-09-19.

Selected filing history

Current assets in original reported units, latest-filed observation per period
Period startPeriod endValueUnitFiledSource filing
At date2026-01-31517,235,000USD2026-03-1910-K · 0001193125-26-115298
At date2025-01-31489,941,000USD2026-03-1910-K · 0001193125-26-115298
At date2024-10-31501,463,000USD2025-04-1610-K · 0000950170-25-054522
At date2024-07-31507,232,000USD2025-04-1610-K · 0000950170-25-054522
At date2024-04-30501,886,000USD2025-04-1610-K · 0000950170-25-054522
At date2024-01-31531,294,000USD2025-04-1610-K · 0000950170-25-054522
At date2023-10-31528,527,000USD2025-04-1610-K · 0000950170-25-054522
At date2023-07-31526,964,000USD2025-04-1610-K · 0000950170-25-054522
At date2023-04-30519,727,000USD2025-04-1610-K · 0000950170-25-054522
At date2023-01-31567,189,000USD2024-03-2610-K · 0000950170-24-036181
At date2022-01-31553,884,000USD2023-03-2310-K · 0000950170-23-009351
At date2021-01-31501,651,000USD2022-03-2410-K · 0000950170-22-004491
At date2020-01-31464,554,000USD2021-03-2510-K · 0001564590-21-015296
At date2019-01-31468,146,000USD2020-03-2610-K · 0001564590-20-013004
At date2018-01-31481,600,000USD2019-03-2810-K · 0001564590-19-009741
At date2017-01-31504,780,000USD2018-03-2910-K · 0001564590-18-007083
At date2016-01-31489,035,000USD2017-03-2010-K · 0001564590-17-004788
At date2015-01-31478,843,000USD2016-03-3110-K · 0001564590-16-015742
At date2014-01-31485,310,000USD2015-03-3110-K · 0001564590-15-002252
At date2013-01-31434,099,000USD2014-03-2810-K · 0001564590-14-001041
At date2012-01-31434,151,000USD2013-03-2610-K · 0001193125-13-126699
At date2011-01-31374,938,000USD2012-03-3010-K · 0001193125-12-142656

Related financial histories

Inspect the source

Entity
MOVADO GROUP, INC. / CIK 0000072573
Captured
2026-09-19T14:50:28.130Z
SEC response SHA-256
ea25424c037e9751d330d53e2271cfad5a9d3abab14d38acb6ddf326c8c04a9f

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/0000072573.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"])))