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MICROBOT MEDICAL INC.: total liabilities

Total liabilities for MICROBOT MEDICAL INC. Inspect selected reporting periods, original units and SEC filing links; download the financial history.

All MICROBOT MEDICAL INC. financial histories

What this measure means

Recognized obligations at the reporting date. The definition and scope differ from interest-bearing debt.

Exact concept: us-gaap:Liabilities. 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 2010-12-31 to 2025-12-31. The SEC response was captured on 2026-09-20.

Selected filing history

Total liabilities in original reported units, latest-filed observation per period
Period startPeriod endValueUnitFiledSource filing
At date2025-12-313,990,000USD2026-03-2610-K · 0001493152-26-012935
At date2024-12-312,501,000USD2026-03-2610-K · 0001493152-26-012935
At date2023-12-313,826,000USD2025-03-2510-K · 0001641172-25-000614
At date2022-12-312,248,000USD2024-03-2710-K · 0001493152-24-011521
At date2021-12-312,386,000USD2023-03-3110-K · 0001493152-23-010223
At date2020-12-311,971,000USD2022-03-3110-K · 0001493152-22-008344
At date2019-12-315,586,000USD2021-03-3110-K · 0001493152-21-007453
At date2018-12-314,760,000USD2020-04-1410-K · 0001493152-20-006338
At date2017-12-31556,000USD2019-04-0110-K · 0001493152-19-004545
At date2016-12-311,172,000USD2018-04-0210-K · 0001493152-18-004562
At date2015-12-31419,000USD2017-03-2110-K · 0001493152-17-002678
At date2014-12-3126,555,986USD2016-03-1510-K · 0001193125-16-504472
At date2013-12-3126,603,462USD2015-03-1310-K · 0001193125-15-091382
At date2012-12-3116,185,660USD2014-03-1310-K · 0001193125-14-097773
At date2011-12-3114,480,375USD2013-03-2110-K · 0001193125-13-119450
At date2010-12-3115,120,944USD2012-03-1510-K · 0001193125-12-115972

Related financial histories

Inspect the source

Entity
MICROBOT MEDICAL INC. / CIK 0000883975
Captured
2026-09-20T05:02:19.185Z
SEC response SHA-256
5fc792c757c83821aa0cd636b3655419924829213ef914d8be1d9f56dce19054

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/0000883975.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"])))