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BRAIN SCIENTIFIC INC.: financial reference

Explore BRAIN SCIENTIFIC INC. financial histories from SEC filings, with original units, reporting periods, filing dates and downloadable source data.

Filing record ends 2023-03-31

The latest filing in this captured record is a 10-K filed 2023-03-31. No later filing is in the SEC companyfacts record captured on 2026-09-22. BRAIN SCIENTIFIC INC. may have stopped filing, merged, or changed its reporting entity; nothing on this page describes its current status. Values are as reported at the time.

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.

Latest periods by selected concept and original unit
MeasurePeriod startPeriod endValueUnitFiled
Total assets-2022-12-3111,743,625USD2023-03-31
Total liabilities-2022-12-317,426,403USD2023-03-31
Stockholders equity-2022-12-314,317,222USD2023-03-31
Cash and cash equivalents-2022-12-31747,714USD2023-03-31
Net income or loss2022-01-012022-12-31-12,343,858USD2023-03-31
Operating cash flow2022-01-012022-12-31-5,935,070USD2023-03-31
Capital expenditure payments2022-01-012022-12-3133,293USD2023-03-31
Revenue2022-01-012022-12-31214,564USD2023-03-31
Financing cash flow2022-01-012022-12-315,930,621USD2023-03-31
Investing cash flow2022-01-012022-12-31-33,293USD2023-03-31
Retained earnings or deficit-2022-12-31-34,622,781USD2023-03-31
Basic weighted-average shares2022-01-012022-12-31953,272shares2023-03-31
Basic earnings per share2022-01-012022-12-31-12.95USD/shares2023-03-31
Income tax expense or benefit2019-01-012019-12-312,214USD2021-04-15
Net property, plant and equipment-2022-12-31120,914USD2023-03-31
Share-based compensation expense2020-01-012020-12-3130,207USD2021-04-15
Operating income or loss2022-01-012022-12-31-9,608,407USD2023-03-31
Current assets-2022-12-311,308,002USD2023-03-31
Interest expense2022-01-012022-12-31844,855USD2023-03-31
Current liabilities-2022-12-317,419,025USD2023-03-31
Current accounts payable-2017-12-3119,148USD2018-07-13
Net current accounts receivable-2022-12-31947USD2023-03-31
Operating expenses2022-01-012022-12-319,662,732USD2023-03-31
Net inventory-2022-12-31149,558USD2023-03-31
Gross profit2022-01-012022-12-3154,325USD2023-03-31
Research and development expense2022-01-012022-12-31301,907USD2023-03-31
Common shares outstanding-2022-12-311,242,647shares2023-03-31
Cash including restricted cash-2022-12-31747,714USD2023-03-31
Additional paid-in capital-2022-12-3138,942,765USD2023-03-31
Accumulated other comprehensive income or loss-2022-12-31-4,005USD2023-03-31
Total equity including noncontrolling interests-2021-12-31-694,933USD2022-03-31
Operating lease right-of-use asset-2022-12-3188,537USD2023-03-31
Operating lease liability-2022-12-3191,088USD2023-03-31
Accumulated depreciation on property, plant and equipment-2022-12-31101,340USD2023-03-31
Accrued current liabilities-2022-12-312,512,622USD2023-03-31
Prepaid expenses and other current assets-2022-12-3130,537USD2023-03-31
Pre-tax income or loss from continuing operations2022-01-012022-12-31-12,343,858USD2023-03-31
Comprehensive income or loss2022-01-012022-12-31-12,343,873USD2023-03-31
General and administrative expense2022-01-012022-12-314,468,828USD2023-03-31
Depreciation expense2022-01-012022-12-31804,763USD2023-03-31
Depreciation, depletion and amortization2019-01-012019-12-311,330USD2020-03-31
Nonoperating income or expense2022-01-012022-12-31-2,735,451USD2023-03-31
Interest paid, net2022-01-012022-12-31148,169USD2023-03-31
Change in accounts receivable2022-01-012022-12-31-15,975USD2023-03-31
Change in inventories2022-01-012022-12-313,468USD2023-03-31
Change in accounts payable2019-01-012019-12-31159,441USD2020-03-31

Filings

32 BRAIN SCIENTIFIC filings with published measures: what each annual or quarterly report tagged, with the periods it covered, as reported in that filing. The histories above show the latest-filed value per period.

Inspect the source

Entity
BRAIN SCIENTIFIC INC. / CIK 0001662382
Captured
SEC response SHA-256
65e17d0e702756b77c9b53df1319f658664a8db70c1434c3f7959f007a39e761

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.

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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/0001662382.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"])))