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MY SIZE, INC.: stockholders equity

Stockholders equity for MY SIZE, INC. Inspect selected reporting periods, original units and SEC filing links; download the financial history.

All MY SIZE, INC. financial histories

What this measure means

The reported residual interest after liabilities. It is an accounting amount, not market capitalization.

Exact concept: us-gaap:StockholdersEquity. 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 2007-12-31 to 2025-12-31. The SEC response was captured on 2026-09-20.

Coverage by original unit

These are separate reported series. A newer period in one unit does not update another unit’s history or establish a currency conversion.

Selected filing history

Stockholders equity in original reported units, latest-filed observation per period
Period startPeriod endValueUnitFiledSource filing
At date2011-12-31-1,545,000ILS2012-03-3010-K · 0001178913-12-000920
At date2010-12-31-175,000ILS2012-03-3010-K · 0001178913-12-000920
At date2009-12-31566,000ILS2012-03-3010-K · 0001178913-12-000920
At date2008-12-312,281,000ILS2012-03-3010-K · 0001178913-12-000920
At date2007-12-31928,000ILS2012-03-3010-K · 0001178913-12-000920
At date2025-12-315,157,000USD2026-04-1510-K · 0001493152-26-016874
At date2024-12-316,909,000USD2026-04-1510-K · 0001493152-26-016874
At date2023-12-314,735,000USD2026-04-1510-K · 0001493152-26-016874
At date2022-12-314,536,000USD2025-03-2710-K · 0001641172-25-000990
At date2021-12-3110,857,000USD2024-04-0110-K · 0001493152-24-012542
At date2020-12-312,076,000USD2023-04-1410-K · 0001493152-23-012237
At date2019-12-311,051,000USD2022-03-1810-K · 0001493152-22-007224
At date2018-12-315,294,000USD2021-03-2910-K · 0001213900-21-018354
At date2017-12-31-1,152,000USD2020-03-1910-K · 0001213900-20-006893
At date2016-12-311,525,000USD2019-03-2710-K · 0001213900-19-004966
At date2015-12-31-2,613,000USD2018-03-2110-K · 0001213900-18-003274
At date2014-12-31478,000USD2017-04-1410-K · 0001213900-17-003777
At date2013-12-31-889,000USD2016-03-2910-K · 0001213900-16-011915

Related financial histories

Inspect the source

Entity
MY SIZE, INC. / CIK 0001211805
Captured
2026-09-20T07:45:45.019Z
SEC response SHA-256
f48021d1192ce2d743bad23557605ac9d68a8c020f836c3ff127a18693269995

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/0001211805.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"])))