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Laureate Education, Inc.: filings

Every Laureate Education, 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-Q2026-07-30fiscal Q2 2026401150001628280-26-050794
10-Q2026-04-30fiscal Q1 202639830001628280-26-028580
10-K2026-02-19fiscal FY 2025481240001628280-26-009479
10-Q2025-10-30fiscal Q3 2025401180001628280-25-047306
10-Q2025-07-31fiscal Q2 2025401140001628280-25-036830
10-Q2025-05-01fiscal Q1 202540840001628280-25-021318
10-K2025-02-20fiscal FY 2024481250001628280-25-006557
10-Q2024-10-31fiscal Q3 2024411190001628280-24-044416
10-Q2024-08-01fiscal Q2 2024401140001628280-24-033877
10-Q2024-05-02fiscal Q1 202440840001628280-24-019784
10-K2024-02-22fiscal FY 2023481260001628280-24-006141
10-Q2023-11-02fiscal Q3 2023411190001628280-23-036192
10-Q2023-08-03fiscal Q2 2023401130001628280-23-026997
10-Q2023-05-04fiscal Q1 202340840001628280-23-015443
10-K2023-02-23fiscal FY 2022461220001628280-23-004686
10-Q2022-11-03fiscal Q3 2022401180001628280-22-027962
10-Q2022-08-04fiscal Q2 2022401120001628280-22-020855
10-Q2022-05-05fiscal Q1 202238800001628280-22-012428
10-K2022-02-24fiscal FY 2021471240001628280-22-003638
10-Q2021-11-04fiscal Q3 2021391140001628280-21-021607
10-Q2021-08-05fiscal Q2 2021381040001628280-21-015673
10-Q2021-05-06fiscal Q1 202136760001628280-21-009167
10-K2021-02-25fiscal FY 2020461510001628280-21-003163
10-Q2020-11-05fiscal Q3 2020361040001628280-20-015592
10-Q2020-08-06fiscal Q2 2020391070001628280-20-011882
10-Q2020-05-07fiscal Q1 202039830001628280-20-006772
10-K2020-02-27fiscal FY 2019481680001628280-20-002350
10-Q2019-11-06fiscal Q3 2019431210001628280-19-013398
10-Q2019-08-08fiscal Q2 2019431220001628280-19-010364
10-Q2019-05-09fiscal Q1 201939800001628280-19-006341
10-K2019-02-28fiscal FY 2018451650001047469-19-000767
10-Q2018-11-08fiscal Q3 201838990001628280-18-013939
10-Q2018-08-09fiscal Q2 2018361010001628280-18-010861
10-Q2018-05-09fiscal Q1 201836740001628280-18-006307
10-K2018-03-20fiscal FY 2017391530001047469-18-001893
10-Q2017-11-08fiscal Q3 201734960001628280-17-011183
10-Q2017-08-08fiscal Q2 201733940001628280-17-008326
10-Q2017-05-11fiscal Q1 201731630001628280-17-005416

Inspect the source

Entity
Laureate Education, Inc. / CIK 0000912766
Captured
2026-09-20T05:06:39.005Z
SEC response SHA-256
b16b40f41a476c7331ea7488f76dc5b1748bcff58c8a9897da4b8892ff93c8ef

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/0000912766.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"])))