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MillerKnoll, Inc.: total liabilities

MillerKnoll total liabilities: $2.59 billion at 2026-05-30, down 0.8% on the year. 17 values since 2010, each linked to its SEC filing. In original units.

All MillerKnoll, Inc. financial histories

At a glance

MillerKnoll reported total liabilities of $2.59 billion at 2026-05-30, down 0.8% from $2.62 billion a year earlier. From 2010 to 2026 it grew at a compound 8.6% a year, from $690.5 million to $2.59 billion. Across the last five reported years it ranged from $2.58 billion (2024-06-01) to $2.98 billion (2022-05-28). That was 64.9% of total assets ($4.00 billion) at the same date.

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

What this measure means

Recognized obligations at the reporting date. The definition and scope differ from interest-bearing debt.

Exact concept: us-gaap:Liabilities. 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 2010-05-29 to 2026-05-30. The SEC response was captured on 2026-09-19.

Selected filing history

Total liabilities in original reported units, latest-filed observation per period
Period startPeriod endValueUnitFiledSource filing
-2026-05-302,594,600,000USD2026-07-2010-K · 0000066382-26-000092 SEC
-2025-05-312,615,100,000USD2026-07-2010-K · 0000066382-26-000092 SEC
-2024-06-012,584,600,000USD2025-07-2110-K · 0000066382-25-000069 SEC
-2023-06-032,734,600,000USD2024-07-3010-K · 0000066382-24-000053 SEC
-2022-05-282,980,000,000USD2023-07-2610-K · 0000066382-23-000058 SEC
-2021-05-291,139,300,000USD2022-07-2610-K · 0000066382-22-000046 SEC
-2020-05-301,360,500,000USD2022-06-1010-K/A · 0000066382-22-000030 SEC
-2019-06-01829,500,000USD2020-07-2810-K · 0000066382-20-000038 SEC
-2018-06-02784,200,000USD2019-07-3010-K · 0000066382-19-000047 SEC
-2017-06-03694,000,000USD2018-07-3110-K · 0000066382-18-000038 SEC
-2016-05-28683,500,000USD2017-08-0110-K · 0000066382-17-000035 SEC
-2015-05-30742,000,000USD2016-07-2610-K · 0000066382-16-000082 SEC
-2014-05-31618,800,000USD2015-07-2810-K · 0000066382-15-000032 SEC
-2013-06-01627,000,000USD2014-07-2910-K · 0000066382-14-000035 SEC
-2012-06-02590,800,000USD2013-07-3010-K · 0000066382-13-000032 SEC
-2011-05-28603,000,000USD2012-07-3110-K · 0000066382-12-000029 SEC
-2010-05-29690,500,000USD2011-07-2610-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.

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/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"])))