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HAMILTON LANE INC: filings

Every HAMILTON LANE INC annual and quarterly report in the SEC record with the published financial measures it tagged, 37 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-Q2026-08-04fiscal Q1 202729620001433642-26-000042
10-K2026-05-21fiscal FY 2026401060001433642-26-000019
10-Q2026-02-03fiscal Q3 202629840001433642-26-000007
10-Q2025-11-04fiscal Q2 202629840001433642-25-000117
10-Q2025-08-05fiscal Q1 202628600001433642-25-000072
10-K2025-05-30fiscal FY 2025401080001433642-25-000052
10-Q2025-02-04fiscal Q3 202526760001433642-25-000010
10-Q2024-11-06fiscal Q2 202526760001433642-24-000116
10-Q2024-08-06fiscal Q1 202526560001433642-24-000085
10-K2024-05-23fiscal FY 2024371000001433642-24-000064
10-Q2024-02-06fiscal Q3 202426760001433642-24-000010
10-Q2023-11-07fiscal Q2 202426760001433642-23-000099
10-Q2023-08-01fiscal Q1 202426570001433642-23-000074
10-K2023-05-25fiscal FY 2023381030001433642-23-000051
10-Q2023-02-07fiscal Q3 202327780001433642-23-000006
10-Q2022-11-01fiscal Q2 202327780001433642-22-000061
10-Q2022-08-02fiscal Q1 202326560001433642-22-000036
10-K2022-05-26fiscal FY 2022411100001433642-22-000027
10-Q2022-02-01fiscal Q3 202229840001433642-22-000006
10-Q2021-11-02fiscal Q2 202229840001433642-21-000142
10-Q2021-08-03fiscal Q1 202229620001433642-21-000103
10-K2021-05-27fiscal FY 2021431470001433642-21-000077
10-Q2021-02-02fiscal Q3 202132920001433642-21-000005
10-Q2020-11-04fiscal Q2 202132920001433642-20-000134
10-Q2020-08-04fiscal Q1 202132680001433642-20-000094
10-K2020-05-28fiscal FY 2020401330001433642-20-000039
10-Q2020-02-06fiscal Q3 202032880001433642-20-000012
10-Q2019-11-07fiscal Q2 202032880001628280-19-013708
10-Q2019-08-08fiscal Q1 202030610001433642-19-000084
10-K2019-05-30fiscal FY 2019371320001433642-19-000071
10-Q2019-02-08fiscal Q3 201930820001433642-19-000008
10-Q2018-11-09fiscal Q2 201929800001433642-18-000119
10-Q2018-08-09fiscal Q1 201927560001433642-18-000048
10-K2018-06-14fiscal FY 2018361190001433642-18-000038
10-Q2018-02-09fiscal Q3 201828750001433642-18-000004
10-Q2017-11-13fiscal Q2 201827740001433642-17-000115
10-Q2017-08-10fiscal Q1 201827560001433642-17-000105

Inspect the source

Entity
HAMILTON LANE INC / CIK 0001433642
Captured
2026-09-20T09:02:45.389Z
SEC response SHA-256
1d6611d453b106499ba3a6711419fb25b917a44e5ad824f0d935ced28a02e55c

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/0001433642.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"])))