Skip to content

BIORESTORATIVE THERAPIES, INC.: net income or loss

Net income or loss for BIORESTORATIVE THERAPIES, INC. Inspect selected reporting periods, original units and SEC filing links; download the financial history.

All BIORESTORATIVE THERAPIES, INC. financial histories

What this measure means

Reported profit or loss for the period. Check the filing for attribution, exceptional items and discontinued operations before comparing companies.

Exact concept: us-gaap:NetIncomeLoss. 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 2009-01-01 to 2025-12-31. The SEC response was captured on 2026-09-19.

Selected filing history

Net income or loss in original reported units, latest-filed observation per period
Period startPeriod endValueUnitFiledSource filing
2025-01-012025-12-31-14,241,975USD2026-03-2610-K · 0001493152-26-012925
2024-01-012024-12-31-8,979,381USD2026-03-2610-K · 0001493152-26-012925
2023-01-012023-12-31-10,417,704USD2025-03-2810-K · 0001641172-25-001011
2022-01-012022-12-31-13,222,296USD2024-06-1110-K/A · 0001493152-24-023479
2021-01-012021-12-31-44,303,295USD2023-03-2710-K · 0001493152-23-008960
2020-01-012020-12-31-11,272,687USD2022-03-3010-K · 0001493152-22-008184
2019-01-012019-12-31-14,647,890USD2021-04-3010-K · 0001493152-21-010062
2018-01-012018-12-31-12,517,803USD2021-03-1810-K · 0001493152-21-006285
2017-01-012017-12-31-9,444,655USD2019-03-2910-K · 0001493152-19-004292
2016-01-012016-12-31-8,636,292USD2018-04-0210-K · 0001493152-18-004554
2015-01-012015-12-31-7,923,480USD2017-03-2210-K · 0001493152-17-002701
2014-01-012014-12-31-5,587,612USD2016-03-3010-K · 0001144204-16-091575
2013-01-012013-12-31-5,751,194USD2015-03-3110-K · 0001144204-15-020255
2012-01-012012-12-31-6,536,722USD2014-04-1110-K · 0001144204-14-022141
2011-01-012011-12-31-4,073,937USD2014-04-1110-K · 0001144204-14-022141
2010-01-012010-12-31-2,263,799USD2014-04-1110-K · 0001144204-14-022141
2009-01-012009-12-31-1,197,126USD2014-04-1110-K · 0001144204-14-022141

Related financial histories

Inspect the source

Entity
BIORESTORATIVE THERAPIES, INC. / CIK 0001505497
Captured
2026-09-19T11:18:28.483Z
SEC response SHA-256
fd60c78bee3335eafd56c883fed2689ce9a2b29ba609bffc874788f5f89f9708

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/0001505497.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"])))