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Ingersoll Rand Inc.: filings

Every Ingersoll Rand 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-Q2026-07-31fiscal Q2 2026471360001628280-26-051415
10-Q2026-04-29fiscal Q1 202647980001628280-26-028401
10-K2026-02-17fiscal FY 2025531390001628280-26-008617
10-Q2025-10-31fiscal Q3 2025471360001628280-25-047838
10-Q2025-07-31fiscal Q2 2025471360001628280-25-037049
10-Q2025-05-02fiscal Q1 202547990001628280-25-021883
10-K2025-02-19fiscal FY 2024511330001628280-25-006391
10-Q2024-11-01fiscal Q3 2024461320001628280-24-044749
10-Q2024-08-02fiscal Q2 2024461320001628280-24-034400
10-Q2024-05-03fiscal Q1 202446960001628280-24-020267
10-K2024-02-23fiscal FY 2023511330001628280-24-006642
10-Q2023-11-03fiscal Q3 2023461320001628280-23-036698
10-Q2023-08-04fiscal Q2 2023471340001628280-23-027540
10-Q2023-05-05fiscal Q1 202347980001628280-23-016124
10-K2023-02-21fiscal FY 2022511330001628280-23-004287
10-Q2022-11-04fiscal Q3 2022461320001628280-22-028451
10-Q2022-08-05fiscal Q2 2022461320001628280-22-021363
10-Q2022-05-06fiscal Q1 202246960001628280-22-013032
10-K2022-02-25fiscal FY 2021521350001628280-22-003991
10-Q2021-11-05fiscal Q3 2021461320001628280-21-021900
10-Q2021-07-30fiscal Q2 2021471340001628280-21-015044
10-Q2021-04-30fiscal Q1 202147980001628280-21-008453
10-K2021-02-26fiscal FY 2020551450001628280-21-003454
10-Q2020-11-03fiscal Q3 2020481330001628280-20-015382
10-Q2020-08-04fiscal Q2 2020491350001140361-20-017479
10-Q2020-05-15fiscal Q1 2020491010001140361-20-011736
10-K2020-02-26fiscal FY 2019551430001140361-20-004146
10-Q2019-10-30fiscal Q3 2019471240001140361-19-019437
10-Q2019-08-02fiscal Q2 2019471240001140361-19-014130
10-Q2019-04-30fiscal Q1 201946920001140361-19-008046
10-K2019-02-27fiscal FY 2018501360001140361-19-004014
10-Q2018-10-29fiscal Q3 2018451260001140361-18-041472
10-Q2018-08-03fiscal Q2 2018451260001140361-18-035393
10-Q2018-04-27fiscal Q1 201845920001140361-18-020162
10-K2018-02-16fiscal FY 2017501350001140361-18-008833
10-Q2017-10-27fiscal Q3 2017461300001140361-17-039786
10-Q2017-08-04fiscal Q2 2017461310001140361-17-030148

Inspect the source

Entity
Ingersoll Rand Inc. / CIK 0001699150
Captured
2026-09-21T17:25:43.253Z
SEC response SHA-256
f7b73452870313d34b6a520556c5df5316828b47d4106b258b77ed73ca8b0932

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/0001699150.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"])))