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Right On Brands, Inc.: financial reference

Explore Right On Brands, Inc. financial histories from SEC filings, with original units, reporting periods, filing dates and downloadable source data.

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 date2023-03-31206,829USD2023-08-16
Total liabilitiesAt date2023-03-31703,888USD2023-08-16
Stockholders equityAt date2023-03-31-521,496USD2023-08-16
Cash and cash equivalentsAt date2020-03-3167,153USD2021-04-01
Net income or loss2022-04-012023-03-318,726USD2023-08-16
Operating cash flow2022-04-012023-03-31-66,107USD2023-08-16
Capital expenditure payments2020-04-012021-03-315,953USD2021-08-04
Revenue2022-04-012023-03-311,135,939USD2023-08-16
Financing cash flow2022-04-012023-03-3171,373USD2023-08-16
Investing cash flow2022-04-012023-03-310USD2023-08-16
Retained earnings or deficitAt date2023-03-31-15,761,241USD2023-08-16
Basic weighted-average shares2022-04-012023-03-315,888,244,296shares2023-08-16
Diluted weighted-average shares2022-04-012023-03-316,093,337,629shares2023-08-16
Basic earnings per share2022-04-012023-03-310USD/shares2023-08-16
Income tax expense or benefit2017-04-012018-03-31161,000USD2018-08-13
Net property, plant and equipmentAt date2023-03-319,885USD2023-08-16
Share-based compensation expense2021-04-012022-03-310USD2022-07-11
Operating income or loss2022-04-012023-03-31-135,913USD2023-08-16
Current assetsAt date2023-03-31154,456USD2023-08-16
Interest expense2022-04-012023-03-3111,750USD2023-08-16
Current liabilitiesAt date2023-03-31684,788USD2023-08-16
Current accounts payableAt date2023-03-3177,388USD2023-08-16
Net current accounts receivableAt date2023-03-311,798USD2023-08-16
Operating expenses2022-04-012023-03-31741,378USD2023-08-16
Net inventoryAt date2023-03-31116,115USD2023-08-16
Gross profit2022-04-012023-03-31605,465USD2023-08-16
Research and development expense2019-04-012020-03-310USD2021-04-01

Inspect the source

Entity
Right On Brands, Inc. / CIK 0001580262
Captured
2026-09-20T09:22:33.081Z
SEC response SHA-256
ecb8078997e4f173ad8cd5de904776f4d29bce3e1dd04c291f56f291efa0c7f3

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/0001580262.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"])))