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C. H. ROBINSON WORLDWIDE, INC.: retained earnings or deficit

Retained earnings or deficit for C. H. ROBINSON WORLDWIDE, INC. Inspect selected reporting periods, original units and SEC filing links; download the financial history.

All C. H. ROBINSON WORLDWIDE, INC. financial histories

What this measure means

Accumulated undistributed earnings or deficit at the reporting date. This balance is not cash available for distribution.

Exact concept: us-gaap:RetainedEarningsAccumulatedDeficit. Each value is a balance at the reporting date, not a flow earned over a year. Different units remain separate; no currency conversion or interpolation is applied.

Coverage of this history

Selected reporting periods run from 2008-12-31 to 2025-12-31. The SEC response was captured on 2026-09-20.

Selected filing history

Retained earnings or deficit in original reported units, latest-filed observation per period
Period startPeriod endValueUnitFiledSource filing
At date2025-12-316,071,118,000USD2026-02-1310-K · 0001043277-26-000009
At date2024-12-315,786,337,000USD2026-02-1310-K · 0001043277-26-000009
At date2023-12-315,620,790,000USD2025-02-1410-K · 0001043277-25-000012
At date2022-12-315,590,440,000USD2024-02-1610-K · 0001043277-24-000011
At date2021-12-314,936,861,000USD2023-02-1710-K · 0001043277-23-000005
At date2020-12-314,372,833,000USD2022-02-2310-K · 0001043277-22-000006
At date2019-12-314,144,834,000USD2021-02-1910-K · 0001043277-21-000009
At date2018-12-313,845,593,000USD2020-02-1910-K · 0001043277-20-000016
At date2018-01-013,446,332,000USD2019-02-2510-K · 0001043277-19-000006
At date2017-12-313,437,093,000USD2019-02-2510-K · 0001043277-19-000006
At date2016-12-313,190,578,000USD2018-02-2810-K · 0001043277-18-000007
At date2015-12-312,922,620,000USD2017-03-0110-K · 0001043277-17-000004
At date2014-12-312,648,539,000USD2016-02-2910-K · 0001043277-16-000020
At date2013-12-312,413,833,000USD2015-03-0210-K · 0001628280-15-001350
At date2012-12-312,218,229,000USD2014-03-0310-K · 0001043277-14-000004
At date2011-12-311,845,032,000USD2013-03-0110-K · 0001043277-13-000004
At date2010-12-311,613,912,000USD2012-02-2910-K · 0001193125-12-088389
At date2009-12-311,402,306,000USD2011-03-0110-K · 0001193125-11-051458
At date2008-12-311,207,428,000USD2010-03-0110-K · 0001193125-10-044679

Related financial histories

Inspect the source

Entity
C. H. ROBINSON WORLDWIDE, INC. / CIK 0001043277
Captured
2026-09-20T05:16:19.190Z
SEC response SHA-256
d4ed896e4ad7d80e907eb6aa1f11255b20fc0d744069677e6fa6546f880a215d

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/0001043277.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"])))