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MillerKnoll, Inc.: selling, general and administrative expense

MillerKnoll selling, general and administrative expense: $1.18 billion for the year ending 2026-05-30, up 4.0% on the year. 18 values since 2009.

All MillerKnoll, Inc. financial histories

At a glance

MillerKnoll reported selling, general and administrative expense of $1.18 billion for the year ending 2026-05-30, up 4.0% from $1.13 billion a year earlier. From 2009 to 2026 it grew at a compound 7.8% a year, from $330.8 million to $1.18 billion. Across the last five reported years it ranged from $1.11 billion (2024-06-01) to $1.20 billion (2022-05-28). That was 30.7% of revenue ($3.84 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

Selling and general administrative costs reported under this concept. It is an expense category, not a substitute for total operating expenses.

Exact concept: us-gaap:SellingGeneralAndAdministrativeExpense. 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 2008-06-01 to 2026-05-30. The SEC response was captured on 2026-09-19.

Selected filing history

Selling, general and administrative expense in original reported units, latest-filed observation per period
Period startPeriod endValueUnitFiledSource filing
2025-06-012026-05-301,178,300,000USD2026-07-2010-K · 0000066382-26-000092 SEC
2024-06-022025-05-311,133,500,000USD2026-07-2010-K · 0000066382-26-000092 SEC
2023-06-042024-06-011,112,100,000USD2026-07-2010-K · 0000066382-26-000092 SEC
2022-05-292023-06-031,126,400,000USD2025-07-2110-K · 0000066382-25-000069 SEC
2021-05-302022-05-281,204,200,000USD2024-07-3010-K · 0000066382-24-000053 SEC
2020-05-312021-05-29643,800,000USD2023-07-2610-K · 0000066382-23-000058 SEC
2019-06-022020-05-30643,300,000USD2022-07-2610-K · 0000066382-22-000046 SEC
2018-06-032019-06-01639,300,000USD2022-06-1010-K/A · 0000066382-22-000030 SEC
2017-06-042018-06-02615,300,000USD2020-07-2810-K · 0000066382-20-000038 SEC
2016-05-292017-06-03587,500,000USD2019-07-3010-K · 0000066382-19-000047 SEC
2015-05-312016-05-28585,600,000USD2018-07-3110-K · 0000066382-18-000038 SEC
2014-06-012015-05-30543,900,000USD2017-08-0110-K · 0000066382-17-000035 SEC
2013-06-022014-05-31564,300,000USD2016-07-2610-K · 0000066382-16-000082 SEC
2012-06-032013-06-01429,200,000USD2015-07-2810-K · 0000066382-15-000032 SEC
2011-05-292012-06-02394,900,000USD2014-07-2910-K · 0000066382-14-000035 SEC
2010-05-302011-05-28366,000,000USD2013-07-3010-K · 0000066382-13-000032 SEC
2009-05-312010-05-29317,700,000USD2012-07-3110-K · 0000066382-12-000029 SEC
2008-06-012009-05-30330,800,000USD2011-07-2610-K · 0000066382-11-000023 SEC

Related MillerKnoll, Inc. histories

All 67 MillerKnoll histories

Inspect the source

Entity
MillerKnoll, Inc. / CIK 0000066382
Captured
SEC response SHA-256
13e851931432f89449b483c89f08223c94d61d9f5481f29b64657ad0b9db3d6d

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.

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

with urlopen("https://canlicapital.com/company-data/0000066382.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"])))