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LIGHTBRIDGE CORPORATION: financial reference

Explore LIGHTBRIDGE CORPORATION 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 date2025-12-31203,834,795USD2026-02-26
Total liabilitiesAt date2017-12-311,151,210USD2018-03-14
Stockholders equityAt date2025-12-31202,987,344USD2026-02-26
Cash and cash equivalentsAt date2022-12-3128,899,997USD2023-03-30
Net income or loss2025-01-012025-12-31-19,580,341USD2026-02-26
Operating cash flow2025-01-012025-12-31-14,281,478USD2026-02-26
Revenue2025-01-012025-12-310USD2026-02-26
Financing cash flow2025-01-012025-12-31176,163,598USD2026-02-26
Investing cash flow2025-01-012025-12-31-10,526USD2026-02-26
Retained earnings or deficitAt date2025-12-31-183,765,183USD2026-02-26
Basic weighted-average shares2022-01-012022-12-3110,834,574shares2023-03-30
Diluted weighted-average shares2025-01-012025-12-3124,517,972shares2026-02-26
Basic earnings per share2022-01-012022-12-31-0.69USD/shares2023-03-30
Diluted earnings per share2024-01-012024-12-31-0.81USD/shares2025-03-03
Net property, plant and equipmentAt date2014-12-310USD2015-11-23
Share-based compensation expense2025-01-012025-12-315,789,991USD2026-02-26
Operating income or loss2025-01-012025-12-31-23,227,072USD2026-02-26
Current assetsAt date2025-12-31202,575,404USD2026-02-26
Interest expense2017-01-012017-12-3116,095USD2019-03-29
Current liabilitiesAt date2025-12-31847,451USD2026-02-26
Net finite-lived intangible assetsAt date2025-12-31119,391USD2026-02-26
Net current accounts receivableAt date2017-12-3110,400USD2019-03-29
Operating expenses2025-01-012025-12-3123,227,072USD2026-02-26
Gross profit2017-01-012017-12-3168,355USD2019-03-29
Cost of revenue2017-01-012017-12-31107,091USD2019-03-29
Research and development expense2025-01-012025-12-319,210,499USD2026-02-26

Inspect the source

Entity
LIGHTBRIDGE CORPORATION / CIK 0001084554
Captured
2026-09-20T05:21:07.122Z
SEC response SHA-256
a49d4c55254e42789543139e4070d213203a94113858659a169746a9be406046

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/0001084554.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"])))