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HealthLynked Corp.: filings

Every HealthLynked Corp. annual and quarterly report in the SEC record with the published financial measures it tagged, 38 filings, each linked to its SEC index.

Filings with published measures

Each page shows what one filing reported, as tagged in that filing, with the periods it covered. Later filings can restate a value; the company overview shows the latest-filed value per period.

FormFiledFiscal periodMeasuresFactsSEC accession
10-Q2026-08-14fiscal Q2 2026371030001213900-26-090221
10-Q2026-05-15fiscal Q1 202637770001213900-26-057581
10-K2026-03-31fiscal FY 202541800001213900-26-037499
10-Q2025-11-19fiscal Q3 2025401100001213900-25-112578
10-Q2025-08-14fiscal Q2 2025391020001213900-25-076656
10-Q2025-05-15fiscal Q1 202539780001213900-25-044233
10-K2025-03-31fiscal FY 202446900001213900-25-026262
10-Q2024-11-14fiscal Q3 2024451280001213900-24-098383
10-Q2024-08-14fiscal Q2 2024451230001213900-24-068949
10-Q2024-05-15fiscal Q1 202444900001213900-24-043561
10-K2024-04-01fiscal FY 202348930001213900-24-028696
10-Q2023-11-14fiscal Q3 2023461270001213900-23-086915
10-Q2023-08-14fiscal Q2 2023451260001213900-23-067049
10-Q2023-05-15fiscal Q1 202344880001213900-23-039725
10-K2023-03-31fiscal FY 202244880001213900-23-025432
10-Q2022-11-14fiscal Q3 2022431220001213900-22-072198
10-Q2022-08-15fiscal Q2 2022411160001213900-22-048070
10-Q2022-05-16fiscal Q1 202240810001213900-22-027072
10-K2022-03-31fiscal FY 202141820001213900-22-016741
10-Q2021-11-15fiscal Q3 2021401180001213900-21-059301
10-Q2021-08-16fiscal Q2 2021411160001213900-21-042938
10-Q2021-05-17fiscal Q1 202140820001213900-21-026989
10-K2021-03-31fiscal FY 202041810001213900-21-019166
10-Q2020-11-16fiscal Q3 2020391130001213900-20-037415
10-Q2020-08-14fiscal Q2 2020381080001213900-20-022223
10-Q2020-05-15fiscal Q1 202037740001213900-20-012591
10-K2020-03-30fiscal FY 201937730001213900-20-007998
10-Q2019-11-14fiscal Q3 2019381050001213900-19-023462
10-Q2019-08-14fiscal Q2 2019371010001213900-19-015900
10-Q2019-05-15fiscal Q1 201931660001213900-19-008817
10-K2019-04-01fiscal FY 201831640001213900-19-005456
10-Q2018-11-14fiscal Q3 201831870001213900-18-015759
10-Q2018-08-14fiscal Q2 201830850001213900-18-011034
10-Q2018-05-15fiscal Q1 201830620001213900-18-006283
10-K2018-04-02fiscal FY 201731640001213900-18-003844
10-Q2017-11-14fiscal Q3 201730830001213900-17-012058
10-Q2017-08-14fiscal Q2 201730840001213900-17-008676
10-Q2017-05-15fiscal Q1 201731610001213900-17-005271

Inspect the source

Entity
HealthLynked Corp. / CIK 0001680139
Captured
2026-09-21T17:24:54.848Z
SEC response SHA-256
1d7da97d254ed8ecb29a71cd1691cea4f80024d23346bfec1c2cf84b10f19e3f

Current SEC company facts · Download the original response snapshot (gzip) · Download the selected JSON

Every published concept a filing tagged, with the periods it covered, as reported in that filing at capture time. Forms 10-K, 10-K/A, 10-Q, 10-Q/A, 20-F, 20-F/A, 40-F, 40-F/A. A filing page needs at least 8 published concepts. Later filings can restate these values; the company history pages show the latest-filed value per period.

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/0001680139.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"])))