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REV Group, Inc.: filings

Every REV Group, 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-K2025-12-10fiscal FY 2025561450001193125-25-313470
10-Q2025-09-03fiscal Q3 2025471390001687221-25-000006
10-Q2025-06-04fiscal Q2 2025471350000950170-25-081393
10-Q2025-03-05fiscal Q1 2025481010000950170-25-033072
10-K2024-12-11fiscal FY 2024571480000950170-24-135208
10-Q2024-09-04fiscal Q3 2024491440000950170-24-103102
10-Q2024-06-05fiscal Q2 2024491400000950170-24-069069
10-Q2024-03-06fiscal Q1 202448990000950170-24-026869
10-K2023-12-13fiscal FY 2023571460000950170-23-069876
10-Q2023-09-13fiscal Q3 2023521510000950170-23-047814
10-Q2023-06-08fiscal Q2 2023521470000950170-23-026905
10-Q2023-03-08fiscal Q1 2023521050000950170-23-006585
10-K2022-12-14fiscal FY 2022571470000950170-22-026493
10-Q2022-09-07fiscal Q3 2022531510000950170-22-018152
10-Q2022-06-07fiscal Q2 2022531470000950170-22-011245
10-Q2022-03-09fiscal Q1 202253990001564590-22-009177
10-K2021-12-15fiscal FY 2021581490001564590-21-060365
10-Q2021-09-08fiscal Q3 2021531520001564590-21-047255
10-Q2021-06-07fiscal Q2 2021531500001564590-21-031952
10-Q2021-03-10fiscal Q1 2021531030001564590-21-011894
10-K2021-01-07fiscal FY 2020591490001564590-21-000486
10-Q2020-09-09fiscal Q3 2020551570001564590-20-042862
10-Q2020-06-08fiscal Q2 2020551530001564590-20-028552
10-Q2020-03-04fiscal Q1 2020531070001564590-20-008716
10-K2019-12-18fiscal FY 2019531390001564590-19-046328
10-Q2019-09-04fiscal Q3 2019501510001564590-19-034087
10-Q2019-06-05fiscal Q2 2019501470001564590-19-021790
10-Q2019-03-06fiscal Q1 2019501060001564590-19-006529
10-K2018-12-19fiscal FY 2018541430001564590-18-031125
10-Q2018-09-05fiscal Q3 2018511440001564590-18-022674
10-Q2018-06-06fiscal Q2 2018501420001564590-18-015167
10-Q2018-03-07fiscal Q1 201847990001564590-18-004737
10-K2017-12-21fiscal FY 2017492180001564590-17-025241
10-Q2017-09-07fiscal Q3 2017471350001564590-17-018423
10-Q2017-06-07fiscal Q2 2017471350001564590-17-012207
10-Q2017-03-07fiscal Q1 201746970001193125-17-073447

Inspect the source

Entity
REV Group, Inc. / CIK 0001687221
Captured
2026-09-21T17:25:10.916Z
SEC response SHA-256
1d79dce6217878842dd21aece522352b445bd5d1e7b5336b3e789f658bd55195

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/0001687221.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"])))