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uniQure N.V.: filings

Every uniQure N.V. 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-Q2026-05-05fiscal Q1 202645940001104659-26-055250
10-K2026-03-02fiscal FY 2025541360001104659-26-021898
10-Q2025-11-10fiscal Q3 2025451240001104659-25-108813
10-Q2025-07-29fiscal Q2 2025421140001558370-25-009694
10-Q2025-05-09fiscal Q1 202542870001558370-25-007068
10-K2025-02-27fiscal FY 2024531340001558370-25-001699
10-Q2024-11-05fiscal Q3 2024431160001558370-24-014346
10-Q2024-08-01fiscal Q2 2024431160001558370-24-010528
10-Q2024-05-07fiscal Q1 202443900001558370-24-006914
10-K2024-02-28fiscal FY 2023541360001558370-24-001915
10-Q2023-11-07fiscal Q3 2023451200001558370-23-017867
10-Q2023-08-01fiscal Q2 2023441190001558370-23-012633
10-Q2023-05-09fiscal Q1 202345930001558370-23-008658
10-K2023-02-27fiscal FY 2022541340001558370-23-002110
10-Q2022-11-02fiscal Q3 2022461190001558370-22-015906
10-Q2022-08-08fiscal Q2 2022461200001558370-22-012523
10-Q2022-05-02fiscal Q1 202244910001558370-22-006570
10-K2022-02-25fiscal FY 2021531310001558370-22-002050
10-Q2021-10-25fiscal Q3 2021471230001558370-21-013423
10-Q2021-07-26fiscal Q2 2021441210001558370-21-009246
10-Q2021-05-10fiscal Q1 202138790001558370-21-006590
10-K2021-03-01fiscal FY 2020461100001558370-21-002186
10-Q2020-10-27fiscal Q3 2020381000001558370-20-011813
10-Q2020-07-30fiscal Q2 2020381010001558370-20-008752
10-Q2020-04-29fiscal Q1 202038820001558370-20-004542
10-K2020-03-02fiscal FY 2019451060001558370-20-001883
10-Q2019-10-28fiscal Q3 201940980001558370-19-009189
10-Q2019-07-29fiscal Q2 201940980001558370-19-006432
10-Q2019-04-29fiscal Q1 201939780001558370-19-003448
10-K2019-02-28fiscal FY 2018421060001558370-19-001305
10-Q2018-11-06fiscal Q3 2018411070001558370-18-008553
10-Q2018-08-08fiscal Q2 2018411050001558370-18-006702
10-Q2018-04-30fiscal Q1 201841830001558370-18-003530
10-K2018-03-14fiscal FY 2017431060001558370-18-002042
10-Q2017-11-01fiscal Q3 2017411040001558370-17-007866
10-Q2017-08-08fiscal Q2 201737950001558370-17-006199
10-Q2017-05-09fiscal Q1 201737730001104659-17-031140
10-K2017-03-15fiscal FY 201638940001047469-17-001589

Inspect the source

Entity
uniQure N.V. / CIK 0001590560
Captured
2026-09-19T11:19:24.141Z
SEC response SHA-256
25f28a865616780a8776195cb409f66f7de5dcb60c6b431eab28304d0aa37e1f

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/0001590560.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"])))