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Ovid Therapeutics Inc.: filings

Every Ovid Therapeutics Inc. 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-Q2026-08-13fiscal Q2 2026371050001628280-26-056498
10-Q2026-05-12fiscal Q1 202637770001628280-26-033864
10-K2026-03-18fiscal FY 202538770001628280-26-019438
10-Q2025-11-12fiscal Q3 2025381110001636651-25-000012
10-Q2025-08-13fiscal Q2 2025371060001628280-25-040008
10-Q2025-05-13fiscal Q1 202537790001628280-25-024913
10-K2025-03-11fiscal FY 202437760001628280-25-011844
10-Q2024-11-12fiscal Q3 2024421310001628280-24-046868
10-Q2024-08-13fiscal Q2 2024421270001628280-24-036860
10-Q2024-05-14fiscal Q1 202442890001628280-24-023067
10-K2024-03-08fiscal FY 202342870001628280-24-009809
10-Q2023-11-03fiscal Q3 2023421310001628280-23-036564
10-Q2023-08-04fiscal Q2 2023421270001628280-23-027430
10-Q2023-05-05fiscal Q1 202342890001628280-23-016013
10-K2023-03-13fiscal FY 202242870001628280-23-007648
10-Q2022-11-08fiscal Q3 2022391200001628280-22-028772
10-Q2022-08-09fiscal Q2 2022391160001628280-22-021759
10-Q2022-05-10fiscal Q1 202237780000950170-22-008739
10-K2022-03-15fiscal FY 202138780000950170-22-003668
10-Q2021-11-10fiscal Q3 2021371140000950170-21-004066
10-Q2021-08-16fiscal Q2 2021371100000950170-21-001457
10-Q2021-05-13fiscal Q1 202137770001564590-21-027623
10-K2021-03-15fiscal FY 202034670001564590-21-013016
10-Q2020-11-13fiscal Q3 202032930001564590-20-053666
10-Q2020-08-10fiscal Q2 202034940001564590-20-038644
10-Q2020-05-07fiscal Q1 202034710001564590-20-023002
10-K2020-03-11fiscal FY 2019351020001564590-20-010108
10-Q2019-11-08fiscal Q3 201934980001564590-19-042028
10-Q2019-08-07fiscal Q2 201932910001564590-19-030178
10-Q2019-05-07fiscal Q1 201932680001564590-19-016562
10-K2019-03-07fiscal FY 201832960001564590-19-006804
10-Q2018-11-08fiscal Q3 201831830001564590-18-028299
10-Q2018-08-09fiscal Q2 201831830001564590-18-021111
10-Q2018-05-08fiscal Q1 201828570001564590-18-011934
10-K2018-03-29fiscal FY 2017281030001564590-18-007152
10-Q2017-11-09fiscal Q3 201727740001564590-17-023274
10-Q2017-08-10fiscal Q2 201727740001564590-17-017251
10-Q2017-06-13fiscal Q1 201728580001193125-17-202470

Inspect the source

Entity
Ovid Therapeutics Inc. / CIK 0001636651
Captured
2026-09-21T17:21:21.098Z
SEC response SHA-256
b4de1e66c6e8e0453b1f8d4fc2f1dafe6798859207cf5a42629d88fe4c5e512a

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/0001636651.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"])))