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DERMTECH, INC.: filings

Every DERMTECH, INC. annual and quarterly report in the SEC record with the published financial measures it tagged, 28 filings, each linked to its SEC index.

Filing record ends 2024-05-15

The latest filing in this captured record is a 10-Q filed 2024-05-15. No later filing is in the SEC companyfacts record captured on 2026-09-22. DERMTECH, INC. may have stopped filing, merged, or changed its reporting entity; nothing on this page describes its current status. Values are as reported at the time.

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-Q2024-05-15fiscal Q1 202445930001651944-24-000047
10-K2024-02-29fiscal FY 202348980001651944-24-000014
10-Q2023-11-02fiscal Q3 2023461310001651944-23-000091
10-Q2023-08-03fiscal Q2 2023461270001651944-23-000077
10-Q2023-05-04fiscal Q1 202346950001651944-23-000045
10-K2023-03-02fiscal FY 202247970001651944-23-000010
10-Q2022-11-03fiscal Q3 2022471350001651944-22-000054
10-Q2022-08-08fiscal Q2 2022461290001651944-22-000027
10-Q2022-05-03fiscal Q1 202242870001564590-22-017509
10-K2022-03-10fiscal FY 2021421060001564590-22-009635
10-Q2021-11-09fiscal Q3 2021411210001564590-21-055781
10-Q2021-08-04fiscal Q2 2021381110001564590-21-040918
10-Q2021-05-13fiscal Q1 202138850001564590-21-027624
10-K2021-03-05fiscal FY 202041790001564590-21-011293
10-Q2020-11-10fiscal Q3 2020381070001564590-20-053008
10-Q2020-08-05fiscal Q2 202035960001564590-20-036881
10-Q2020-05-13fiscal Q1 202035690001564590-20-025096
10-K2020-03-11fiscal FY 201939770001564590-20-009838
10-Q2019-11-07fiscal Q3 2019371030001564590-19-041857
10-Q2019-08-13fiscal Q1 202014320001193125-19-219949
10-K2019-06-14fiscal FY 201914300001193125-19-173682
10-Q2019-02-14fiscal Q3 201914360001144204-19-008105
10-Q2018-11-14fiscal Q2 201914360001144204-18-059952
10-Q2018-08-10fiscal Q1 201914300001144204-18-043607
10-K2018-06-29fiscal FY 201815570001144204-18-036605
10-Q2018-02-13fiscal Q3 201815380001144204-18-008036
10-Q2017-11-13fiscal Q2 201815380001144204-17-058352
10-Q2017-08-14fiscal Q1 201811250001144204-17-043204

Inspect the source

Entity
DERMTECH, INC. / CIK 0001651944
Captured
SEC response SHA-256
2edd849aa122dd16f5f6ee317e73dd3d8f057382b5e1395835c59bb2447d8fbc

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/0001651944.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"])))