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Distribution Solutions Group, Inc.: operating income or loss

Distribution Solutions Group operating income or loss: $78.3 million for the year ending 2025-12-31, up 39.9% on the year. 17 values since 2009.

All Distribution Solutions Group, Inc. financial histories

At a glance

Distribution Solutions Group reported operating income or loss of $78.3 million for the year ending 2025-12-31, up 39.9% from $56.0 million a year earlier. Across the last five reported years it ranged from $11.4 million (2021-12-31) to $78.3 million (2025-12-31). That was 4.0% of revenue ($1.98 billion) for the same year.

Computed from the values in the table below, in USD; each links to the filing it came from.

What this measure means

Operating revenue less operating expenses for the reporting period. It excludes items outside the reported operating result and is not free cash flow.

Exact concept: us-gaap:OperatingIncomeLoss. 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 2009-01-01 to 2025-12-31. The SEC response was captured on 2026-09-19.

Selected filing history

Operating income or loss in original reported units, latest-filed observation per period
Period startPeriod endValueUnitFiledSource filing
2025-01-012025-12-3178,263,000USD2026-03-0510-K · 0000703604-26-000008 SEC
2024-01-012024-12-3155,955,000USD2026-03-0510-K · 0000703604-26-000008 SEC
2023-01-012023-12-3142,991,000USD2026-03-0510-K · 0000703604-26-000008 SEC
2022-01-012022-12-3141,786,000USD2025-03-0610-K · 0000703604-25-000012 SEC
2021-01-012021-12-3111,421,000USD2023-03-1410-K · 0000703604-23-000033 SEC
2020-01-012020-12-3120,550,000USD2022-02-2410-K · 0000703604-22-000019 SEC
2019-01-012019-12-319,066,000USD2021-02-2610-K · 0000703604-21-000035 SEC
2018-01-012018-12-319,210,000USD2020-02-2710-K · 0000703604-20-000016 SEC
2017-01-012017-12-319,936,000USD2019-03-0410-K · 0000703604-19-000023 SEC
2016-01-012016-12-31-1,457,000USD2018-02-2210-K · 0000703604-18-000013 SEC
2015-01-012015-12-312,121,000USD2018-02-2210-K · 0000703604-18-000013 SEC
2014-01-012014-12-31-4,963,000USD2017-02-2310-K · 0000703604-17-000018 SEC
2013-01-012013-12-31-5,863,000USD2016-02-1810-K · 0000703604-16-000131 SEC
2012-01-012012-12-31-45,267,000USD2015-02-1910-K · 0000703604-15-000022 SEC
2011-01-012011-12-31-5,776,000USD2014-02-2010-K · 0000703604-14-000011 SEC
2010-01-012010-12-3116,927,000USD2013-02-2610-K · 0001445305-13-000315 SEC
2009-01-012009-12-311,413,000USD2012-03-0110-K · 0001193125-12-090914 SEC

Related Distribution Solutions Group, Inc. histories

All 63 Distribution Solutions Group histories

Inspect the source

Entity
Distribution Solutions Group, Inc. / CIK 0000703604
Captured
SEC response SHA-256
1c0774c0d3fb64cc33a7d5fb5862edaaf357350a64b707bcab80ee25494b678c

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.

The MCP server is free and MIT-licensed: npx -y canli-mcp. If these records help your research, a star on GitHub helps other researchers find them.

Read the published dataset with Python
import json
from urllib.request import urlopen

with urlopen("https://canlicapital.com/company-data/0000703604.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"])))