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Krystal Biotech, Inc.: filings

Every Krystal Biotech, Inc. annual and quarterly report in the SEC record with the published financial measures it tagged, 35 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-Q2026-08-03fiscal Q2 2026441230001711279-26-000057
10-Q2026-05-04fiscal Q1 202644910001711279-26-000043
10-K2026-02-17fiscal FY 2025491270001711279-26-000016
10-Q2025-11-03fiscal Q3 2025451290001711279-25-000087
10-Q2025-08-04fiscal Q2 2025451250001711279-25-000077
10-Q2025-05-06fiscal Q1 202545940001711279-25-000044
10-K2025-02-19fiscal FY 2024471210001711279-25-000008
10-Q2024-11-04fiscal Q3 2024461310001711279-24-000056
10-Q2024-08-05fiscal Q2 2024461260001711279-24-000040
10-Q2024-05-06fiscal Q1 202441850001711279-24-000020
10-K2024-02-26fiscal FY 2023461200001711279-24-000005
10-Q2023-11-06fiscal Q3 2023421200001711279-23-000073
10-Q2023-08-07fiscal Q1 2023371040001711279-23-000064
10-Q2023-05-08fiscal Q1 202337780001711279-23-000029
10-K2023-02-27fiscal FY 2021431110001711279-23-000008
10-Q2022-11-07fiscal Q3 2022381120001711279-22-000058
10-Q2022-08-08fiscal Q2 2022381080001711279-22-000047
10-Q2022-05-09fiscal Q1 202238790001711279-22-000016
10-K2022-02-28fiscal FY 202143880001711279-22-000004
10-Q2021-11-08fiscal Q3 2021381120001711279-21-000031
10-Q2021-08-09fiscal Q2 2021381080001711279-21-000027
10-Q2021-05-10fiscal Q1 202134730001711279-21-000012
10-K2021-03-01fiscal FY 202038780001711279-21-000006
10-Q2020-11-09fiscal Q3 202033950001711279-20-000006
10-Q2020-08-07fiscal Q2 202032890001564590-20-038503
10-Q2020-05-04fiscal Q1 202032690001564590-20-020571
10-K2020-03-10fiscal FY 201936720001564590-20-009550
10-Q2019-11-04fiscal Q3 201932880001564590-19-039515
10-Q2019-08-05fiscal Q2 201933880001564590-19-028548
10-Q2019-05-07fiscal Q1 201934670001564590-19-016236
10-Q2018-11-05fiscal Q3 201833830001564590-18-026663
10-Q2018-08-06fiscal Q2 201833830001564590-18-019294
10-Q2018-05-07fiscal Q1 201827530001564590-18-011136
10-K2018-03-12fiscal FY 201730590001564590-18-005252
10-Q2017-11-13fiscal Q3 201726670001193125-17-341032

Inspect the source

Entity
Krystal Biotech, Inc. / CIK 0001711279
Captured
2026-09-21T17:24:26.140Z
SEC response SHA-256
59dd6f5a8527c546b97edb976fee4c671180a1dc08a8dd5a9226eb1fbe912bc2

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/0001711279.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"])))