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ZYNERBA PHARMACEUTICALS, INC.: filings

Every ZYNERBA PHARMACEUTICALS, INC. annual and quarterly report in the SEC record with the published financial measures it tagged, 33 filings, each linked to its SEC index.

Filing record ends 2023-08-14

The latest filing in this captured record is a 10-Q filed 2023-08-14. No later filing is in the SEC companyfacts record captured on 2026-09-22. ZYNERBA PHARMACEUTICALS, 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-Q2023-08-14fiscal Q2 2023391080001558370-23-014705
10-Q2023-05-15fiscal Q1 202339830001558370-23-009685
10-K2023-03-28fiscal FY 2022401070001558370-23-004765
10-Q2022-11-14fiscal Q3 2022391110001558370-22-017583
10-Q2022-08-10fiscal Q2 2022391070001558370-22-012982
10-Q2022-05-16fiscal Q1 202239810001558370-22-008853
10-K2022-03-01fiscal FY 2021401070001558370-22-002451
10-Q2021-11-15fiscal Q3 202135950001558370-21-015868
10-Q2021-08-09fiscal Q2 202135910001558370-21-010876
10-Q2021-05-12fiscal Q1 202135740001558370-21-006862
10-K2021-03-10fiscal FY 2020361330001558370-21-002669
10-Q2020-11-09fiscal Q3 202033900001558370-20-013247
10-Q2020-08-10fiscal Q2 202034900001558370-20-010072
10-Q2020-05-11fiscal Q1 202034720001558370-20-006117
10-K2020-03-10fiscal FY 2019361290001558370-20-002280
10-Q2019-11-06fiscal Q3 201933870001558370-19-010074
10-Q2019-08-06fiscal Q2 201934860001558370-19-007148
10-Q2019-05-08fiscal Q1 201934680001558370-19-004373
10-K2019-03-11fiscal FY 2018361410001558370-19-001742
10-Q2018-11-08fiscal Q3 201833800001558370-18-008905
10-Q2018-08-02fiscal Q2 201833790001558370-18-006158
10-Q2018-05-08fiscal Q1 201833660001558370-18-004308
10-K2018-03-12fiscal FY 2017331400001558370-18-001906
10-Q2017-11-14fiscal Q3 201731790001558370-17-008885
10-Q2017-08-01fiscal Q2 201731790001558370-17-005598
10-Q2017-05-09fiscal Q1 201728560001558370-17-003983
10-K2017-03-27fiscal FY 2016291290001558370-17-002155
10-Q2016-11-14fiscal Q3 201631810001558370-16-010026
10-Q2016-08-11fiscal Q2 201629720001558370-16-007921
10-Q2016-05-12fiscal Q1 201628560001558370-16-005929
10-K2016-03-14fiscal FY 2015291220001558370-16-004082
10-Q2015-11-12fiscal Q3 201528720001558370-15-002642
10-Q2015-08-27fiscal Q2 201527690001558370-15-001721

Inspect the source

Entity
ZYNERBA PHARMACEUTICALS, INC. / CIK 0001621443
Captured
SEC response SHA-256
eb291da6063ca15bb79701a29894e4fddd9d66bcb1e18e0733be9f2efb07eaa3

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/0001621443.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"])))