NeuroOne Medical Technologies Corporation: basic earnings per share
Basic earnings per share for NeuroOne Medical Technologies Corporation. Inspect selected reporting periods, original units and SEC filing links; download the financial history.
All NeuroOne Medical Technologies Corporation financial histories
What this measure means
Reported earnings or loss per basic common share or unit. Inspect attribution, share classes and restatements before comparing periods. This is not a market return.
Exact concept: us-gaap:EarningsPerShareBasic. Each value covers an annual-duration reporting interval, shown with both start and end dates. Different units remain separate; no currency conversion or interpolation is applied.
Coverage of this history
Selected reporting periods run from 2020-10-01 to 2025-09-30. The SEC response was captured on 2026-09-20.
Reading these values
This selected numerical history matches Diluted earnings per share for the same reporting intervals and original units. The accounting definitions remain distinct. Equal values do not establish that the concepts are interchangeable or explain why they match; filing dates and accessions may differ. Compare the definitions and source filings before combining them.
Selected filing history
| Period start | Period end | Value | Unit | Filed | Source filing |
|---|---|---|---|---|---|
| 2024-10-01 | 2025-09-30 | -0.09 | USD/shares | 2025-12-17 | 10-K · 0001213900-25-122390 |
| 2023-10-01 | 2024-09-30 | -0.46 | USD/shares | 2025-12-17 | 10-K · 0001213900-25-122390 |
| 2022-10-01 | 2023-09-30 | -0.65 | USD/shares | 2024-12-17 | 10-K · 0001213900-24-109524 |
| 2021-10-01 | 2022-09-30 | -0.63 | USD/shares | 2023-12-15 | 10-K · 0001213900-23-096120 |
| 2020-10-01 | 2021-09-30 | -0.93 | USD/shares | 2022-12-22 | 10-K · 0001213900-22-081897 |
Related financial histories
- NeuroOne Medical Technologies Corporation: total assets
- NeuroOne Medical Technologies Corporation: total liabilities
- NeuroOne Medical Technologies Corporation: stockholders equity
- NeuroOne Medical Technologies Corporation: cash and cash equivalents
- NeuroOne Medical Technologies Corporation: net income or loss
- NeuroOne Medical Technologies Corporation: operating cash flow
- NeuroOne Medical Technologies Corporation: capital expenditure payments
- NeuroOne Medical Technologies Corporation: revenue
- NeuroOne Medical Technologies Corporation: financing cash flow
- NeuroOne Medical Technologies Corporation: investing cash flow
- NeuroOne Medical Technologies Corporation: retained earnings or deficit
- NeuroOne Medical Technologies Corporation: basic weighted-average shares
- NeuroOne Medical Technologies Corporation: diluted weighted-average shares
- NeuroOne Medical Technologies Corporation: diluted earnings per share
- NeuroOne Medical Technologies Corporation: income tax expense or benefit
- NeuroOne Medical Technologies Corporation: net property, plant and equipment
- NeuroOne Medical Technologies Corporation: share-based compensation expense
- NeuroOne Medical Technologies Corporation: operating income or loss
- NeuroOne Medical Technologies Corporation: current assets
- NeuroOne Medical Technologies Corporation: interest expense
- NeuroOne Medical Technologies Corporation: current liabilities
- NeuroOne Medical Technologies Corporation: current accounts payable
- NeuroOne Medical Technologies Corporation: net finite-lived intangible assets
- NeuroOne Medical Technologies Corporation: net current accounts receivable
- NeuroOne Medical Technologies Corporation: operating expenses
- NeuroOne Medical Technologies Corporation: net inventory
- NeuroOne Medical Technologies Corporation: gross profit
- NeuroOne Medical Technologies Corporation: cost of revenue
- NeuroOne Medical Technologies Corporation: selling, general and administrative expense
- NeuroOne Medical Technologies Corporation: research and development expense
Inspect the source
- Entity
- NeuroOne Medical Technologies Corporation / CIK 0001500198
- Captured
- 2026-09-20T09:11:29.314Z
- SEC response SHA-256
dec08ad6d59f8d84b3a6db4a6ff83df3a276b794fed82089495b0788055433dd
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.
- Get an API key and run your first validation
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Read the published dataset with Python
import json
from urllib.request import urlopen
with urlopen("https://canlicapital.com/company-data/0001500198.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"])))