Lifeward Ltd.: financial reference

Limits of the selected measures

us-gaap:EarningsPerShareBasic: This EPS observation is withheld because the historical ReWalk statement labels amounts in U.S. dollars but its inline fact encodes ILS per share. The source currency conflict is retained; no conversion, relabeling or replacement value has been applied.

us-gaap:EarningsPerShareDiluted: This EPS observation is withheld because the historical ReWalk statement labels amounts in U.S. dollars but its inline fact encodes ILS per share. The source currency conflict is retained; no conversion, relabeling or replacement value has been applied.

Context from the filing

For ReWalk Robotics (now Lifeward), the 2023 annual filing reports 2021 basic and diluted EPS of USD -0.27 and weighted-average ordinary shares of 47,935,652. Potential ordinary shares and warrants were excluded as anti-dilutive during losses. These are historical 2021 figures from that filing, before the later 2024 and 2026 reverse splits; they are not on the same share basis as the newer filing. This review uses the USD-tagged EPS in the per-share note. The six separate ILS-tagged EPS observations remain withheld for their conflict with the statement currency; no conversion or relabeling is applied. Read the source filing.

For Lifeward’s 2023–2025 figures in its 2025 annual filing, the ordinary-share counts and per-share amounts already reflect the March 2024 one-for-seven and February 2026 one-for-twelve reverse splits. No additional adjustment is applied. Warrants, share options and convertible notes are excluded from diluted loss per share as anti-dilutive. The selected USD-per-share EPS and full scale-zero share counts are preserved. This review is limited to that filing and does not resolve the separate currency conflicts withheld from the older ReWalk filing. Read the source filing.

Reported financial histories

Choose a measure to inspect its definition, complete selected history and filing provenance. Each row shows the latest period available for that selected concept and original unit. Separate currencies and reporting intervals remain separate rows. Coverage dates can differ between concepts. A recent capture does not imply recent accounting coverage; these amounts are not prices.

Inspect the source

Entity

Lifeward Ltd. / CIK 0001607962

Captured

2026-09-19T11:19:31.676Z

SEC response SHA-256

65d510c294653d7f3865b561279f8eb53c45e516643e1812cfe6330a41480012

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.

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• Inspect the ALPHAC engine on GitHub
• Read the MCP server source and integration examples

import json
from urllib.request import urlopen

with urlopen("https://canlicapital.com/company-data/0001607962.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"])))