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GB SCIENCES INC: financial reference

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

Filing record ends 2024-08-30

The latest filing in this captured record is a 10-K filed 2024-08-30. No later filing is in the SEC companyfacts record captured on 2026-09-21. GB SCIENCES 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 assetsAt date2024-03-31103,442USD2024-08-30
Total liabilitiesAt date2024-03-315,417,557USD2024-08-30
Stockholders equityAt date2024-03-31-5,314,115USD2024-08-30
Cash and cash equivalentsAt date2024-03-3111,991USD2024-08-30
Net income or loss2023-04-012024-03-31-1,361,677USD2024-08-30
Operating cash flow2023-04-012024-03-31-975,698USD2024-08-30
Capital expenditure payments2019-04-012020-03-31202,297USD2020-08-28
Revenue2023-04-012024-03-310USD2024-08-30
Financing cash flow2023-04-012024-03-31557,777USD2024-08-30
Investing cash flow2023-04-012024-03-31320,000USD2024-08-30
Retained earnings or deficitAt date2024-03-31-110,066,992USD2024-08-30
Basic weighted-average shares2023-04-012024-03-31396,728,680shares2024-08-30
Basic earnings per share2023-04-012024-03-310USD/shares2024-08-30
Income tax expense or benefit2023-04-012024-03-310USD2024-08-30
Net property, plant and equipmentAt date2022-03-310USD2022-06-30
Share-based compensation expense2023-04-012024-03-31219,168USD2024-08-30
Operating income or loss2023-04-012024-03-31-1,420,509USD2024-08-30
Current assetsAt date2024-03-31103,442USD2024-08-30
Interest expense2022-04-012023-03-31178,652USD2023-07-14
Current liabilitiesAt date2024-03-315,095,557USD2024-08-30
Current accounts payableAt date2022-03-311,657,008USD2022-06-30
Net finite-lived intangible assetsAt date2024-03-310USD2024-08-30
Net current accounts receivableAt date2020-03-31117,967USD2020-08-28
Net inventoryAt date2021-03-310USD2022-06-30
Gross profit2023-04-012024-03-310USD2024-08-30
Cost of revenue2023-04-012024-03-310USD2024-08-30
Research and development expense2023-04-012024-03-31261,550USD2024-08-30
Common shares outstandingAt date2024-03-31406,071,028shares2024-08-30
Cash including restricted cashAt date2023-03-31109,912USD2023-07-14
Additional paid-in capitalAt date2024-03-31104,712,156USD2024-08-30
Total equity including noncontrolling interestsAt date2024-03-31-5,314,115USD2024-08-30
Gross property, plant and equipmentAt date2021-03-31771,379USD2021-07-06
Accumulated depreciation on property, plant and equipmentAt date2021-03-31746,357USD2021-07-06
Accrued current liabilitiesAt date2024-03-310USD2024-08-30
Prepaid expenses and other current assetsAt date2024-03-3191,451USD2024-08-30
Pre-tax income or loss from continuing operations2023-04-012024-03-31-1,361,677USD2024-08-30
Profit or loss including noncontrolling interests2023-04-012024-03-31-1,361,677USD2024-08-30
Net income available to common stockholders2023-04-012024-03-31-1,639,992USD2024-08-30
General and administrative expense2022-04-012023-03-311,672,281USD2023-07-14
Depreciation expense2021-04-012022-03-3125,775USD2022-06-30
Other nonoperating income or expense2023-04-012024-03-31320,000USD2024-08-30
Nonoperating income or expense2023-04-012024-03-3158,832USD2024-08-30
Current income tax expense or benefit2022-04-012023-03-310USD2023-07-14
Interest paid, net2023-04-012024-03-310USD2024-08-30
Proceeds from issuing common stock2023-04-012024-03-310USD2024-08-30
Change in accounts receivable2019-04-012020-03-31-150,137USD2021-07-06
Change in inventories2019-04-012020-03-31-83,750USD2021-07-06
Change in accounts payable2023-04-012024-03-31157,593USD2024-08-30

Filings

56 GB SCIENCES INC 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
GB SCIENCES INC / CIK 0001165320
Captured
2026-09-21T17:18:52.310Z
SEC response SHA-256
12b1d1f0b357f0e2b89807866d8015ff01521dc77cf9434cd2743e05e167f8a9

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/0001165320.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"])))