Skip to content

Liberty Latin America Ltd.: filings

Every Liberty Latin America Ltd. 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-Q2026-08-05fiscal Q2 2026481320001712184-26-000130
10-Q2026-05-07fiscal Q1 2026481000001712184-26-000079
10-K2026-02-18fiscal FY 2025521370001712184-26-000023
10-Q2025-11-05fiscal Q3 2025481320001712184-25-000179
10-Q2025-08-07fiscal Q2 2025481300001712184-25-000137
10-Q2025-05-07fiscal Q1 2025481000001712184-25-000094
10-K2025-02-19fiscal FY 2024521370001712184-25-000031
10-Q2024-11-06fiscal Q3 2024491340001712184-24-000254
10-Q2024-08-06fiscal Q2 2024501380001712184-24-000203
10-Q2024-05-07fiscal Q1 2024491020001712184-24-000153
10-K2024-02-22fiscal FY 2023531650001712184-24-000030
10-Q2023-11-09fiscal Q3 2023491360001712184-23-000239
10-Q2023-08-08fiscal Q2 2023501350001712184-23-000198
10-Q2023-05-08fiscal Q1 2023501030001712184-23-000145
10-K2023-02-22fiscal FY 2022541410001712184-23-000031
10-Q2022-11-08fiscal Q3 2022501350001712184-22-000291
10-Q2022-08-03fiscal Q2 2022501350001712184-22-000243
10-Q2022-05-04fiscal Q1 2022501040001712184-22-000183
10-K2022-02-23fiscal FY 2021541410001712184-22-000059
10-Q2021-11-02fiscal Q3 2021511380001712184-21-000239
10-Q2021-08-04fiscal Q2 2021501360001712184-21-000179
10-Q2021-05-05fiscal Q1 2021491020001712184-21-000129
10-K2021-03-01fiscal FY 2020521500001712184-21-000031
10-Q2020-11-04fiscal Q3 2020481250001712184-20-000349
10-Q2020-08-05fiscal Q2 2020451150001712184-20-000202
10-Q2020-05-05fiscal Q1 202046930001712184-20-000148
10-K2020-02-19fiscal FY 2019511490001712184-20-000027
10-Q2019-11-05fiscal Q3 2019461240001712184-19-000270
10-Q2019-08-06fiscal Q2 2019441160001712184-19-000213
10-Q2019-05-07fiscal Q1 201944900001712184-19-000150
10-K2019-02-21fiscal FY 2018461380001712184-19-000039
10-Q2018-11-07fiscal Q3 2018411110001712184-18-000271
10-Q2018-08-08fiscal Q2 2018411110001712184-18-000207
10-Q2018-05-08fiscal Q1 201840840001712184-18-000168
10-K2018-02-14fiscal FY 2017431270001712184-18-000080

Inspect the source

Entity
Liberty Latin America Ltd. / CIK 0001712184
Captured
2026-09-21T17:24:30.522Z
SEC response SHA-256
facfb34cc93bf982843094e84cd55c2db31622b0be24cbc113e230087e71ca34

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/0001712184.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"])))