Skip to content

RBC BEARINGS INCORPORATED: revenue

Revenue for RBC BEARINGS INCORPORATED. Inspect selected reporting periods, original units and SEC filing links; download the financial history.

All RBC BEARINGS INCORPORATED financial histories

What this measure means

Revenue under this specific accounting concept. A missing value is not zero; filers can use other revenue concepts.

Exact concept: us-gaap:Revenues. Each value covers an annual-duration reporting interval, shown with both start and end dates. Different units remain separate; no currency conversion or interpolation is applied.

Coverage of this history

Selected reporting periods run from 2011-04-03 to 2026-03-28. The SEC response was captured on 2026-09-20.

Selected filing history

Revenue in original reported units, latest-filed observation per period
Period startPeriod endValueUnitFiledSource filing
2025-03-302026-03-281,870,900,000USD2026-05-1510-K · 0001213900-26-057626
2024-03-312025-03-291,636,300,000USD2026-05-1510-K · 0001213900-26-057626
2023-04-022024-03-301,560,300,000USD2026-05-1510-K · 0001213900-26-057626
2022-04-032023-04-011,469,300,000USD2025-05-1610-K · 0001213900-25-044893
2021-05-012022-04-30942,937,000USD2022-08-0510-K/A · 0001213900-22-045106
2021-04-042022-04-02942,900,000USD2024-05-1710-K · 0001213900-24-044761
2020-05-012021-04-30608,984,000USD2022-08-0510-K/A · 0001213900-22-045106
2020-04-042021-04-03608,984,000USD2022-05-2610-K · 0001213900-22-029810
2020-03-292021-04-03609,000,000USD2023-05-1910-K · 0001213900-23-041600
2019-03-312020-03-28727,461,000USD2022-08-0510-K/A · 0001213900-22-045106
2018-04-012019-03-30702,516,000USD2021-05-2110-K · 0001213900-21-028445
2017-04-022018-03-31674,949,000USD2019-05-2310-K · 0001615774-19-008334
2017-04-012018-03-31674,949,000USD2020-05-2010-K · 0001213900-20-013096
2016-04-032017-04-01615,388,000USD2019-05-2310-K · 0001615774-19-008334
2015-03-292016-04-02597,472,000USD2018-05-3010-K · 0001615774-18-004515
2014-03-302015-03-28445,278,000USD2017-05-3110-K · 0001144204-17-030325
2013-03-312014-03-29418,886,000USD2016-05-2610-K · 0001144204-16-105151
2012-04-012013-03-30403,051,000USD2015-05-2710-K · 0001144204-15-033694
2011-04-032012-03-31397,511,000USD2014-05-2810-K · 0001144204-14-033924

Related financial histories

Inspect the source

Entity
RBC BEARINGS INCORPORATED / CIK 0001324948
Captured
2026-09-20T07:52:31.927Z
SEC response SHA-256
302dd1fbf997854d2c9fefd482af00b32ddeece47bc6620f39f56d3c1916cf80

Current SEC company facts · Download the original response snapshot (gzip) · Download the selected JSON

Latest-filed annual-report facts per unit and reporting period at capture time. Duration facts cover 300 to 400 days. This selection can include restatements and is not a point-in-time backtest dataset. Missing concepts are omitted, never zero-filled. Values retain original units and are not currency converted. Extended concepts require compatible unit shapes and at least three reporting ends with changing values within one unit. Constant or incompatible added histories are omitted.

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/0001324948.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"])))