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MONGODB, INC.: filings

Every MONGODB, INC. annual and quarterly report in the SEC record with the published financial measures it tagged, 36 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-Q2026-09-01fiscal Q2 2027521460001628280-26-059830
10-Q2026-05-29fiscal Q1 2027521090001628280-26-039150
10-K2026-03-11fiscal FY 2026541430001628280-26-016799
10-Q2025-12-02fiscal Q3 2026501430001628280-25-054768
10-Q2025-08-27fiscal Q2 2026501390001441816-25-000181
10-Q2025-06-04fiscal Q1 2026491030001441816-25-000118
10-K2025-03-21fiscal FY 2025561460001441816-25-000057
10-Q2024-12-10fiscal Q3 2025491410001441816-24-000260
10-Q2024-08-30fiscal Q2 2025491370001441816-24-000188
10-Q2024-05-31fiscal Q1 2025491030001441816-24-000111
10-K2024-03-15fiscal FY 2024571490001441816-24-000049
10-Q2023-12-07fiscal Q3 2024501430001441816-23-000248
10-Q2023-09-01fiscal Q2 2024501380001441816-23-000168
10-Q2023-06-02fiscal Q1 2024501040001441816-23-000087
10-K2023-03-17fiscal FY 2023581520001441816-23-000027
10-Q2022-12-08fiscal Q3 2023511440001441816-22-000193
10-Q2022-09-02fiscal Q2 2023511400001441816-22-000164
10-Q2022-06-03fiscal Q1 2023501040001441816-22-000109
10-K2022-03-18fiscal FY 2022541400001441816-22-000059
10-Q2021-12-08fiscal Q3 2022511390001441816-21-000242
10-Q2021-09-03fiscal Q2 2022511350001441816-21-000192
10-Q2021-06-04fiscal Q1 2022501020001441816-21-000095
10-K2021-03-22fiscal FY 2021541400001441816-21-000051
10-Q2020-12-09fiscal Q3 2021501360001441816-20-000233
10-Q2020-09-03fiscal Q2 2021501320001441816-20-000176
10-Q2020-06-05fiscal Q1 2021491010001441816-20-000110
10-K2020-03-27fiscal FY 2020551410001441816-20-000067
10-Q2019-12-10fiscal Q3 2020481310001441816-19-000242
10-Q2019-09-05fiscal Q2 2020481270001441816-19-000187
10-Q2019-06-07fiscal Q1 202046950001441816-19-000109
10-K2019-04-01fiscal FY 2019521360001441816-19-000067
10-Q2018-12-06fiscal Q3 2019431130001441816-18-000140
10-Q2018-09-07fiscal Q2 2019421090001441816-18-000087
10-Q2018-06-07fiscal Q1 201940830001441816-18-000053
10-K2018-03-30fiscal FY 2018471230001441816-18-000028
10-Q2017-12-15fiscal Q3 2018401040001441816-17-000010

Inspect the source

Entity
MONGODB, INC. / CIK 0001441816
Captured
2026-09-20T09:04:07.504Z
SEC response SHA-256
8947052d6912d9ac6b35470f5e331ef6fe1f4b4cf782fab20822c9cb66738997

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/0001441816.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"])))