Millerknoll (MLKN) Total Liabilities (2010 - 2026)
Millerknoll's Total Liabilities came in at $2.65 billion for fiscal Q1 2027 (quarter ended Aug 29, 2026), up 0.2% from $2.64 billion a year earlier but down 0.4% from the prior quarter.
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Analysis
Millerknoll (MLKN) Total Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2026 (ended May 30, 2026), Millerknoll's Total Liabilities was $2.66 billion, down 0.6% from FY2025.
- Total Liabilities carries a five-year compound annual growth rate of 16.9% (FY2021 to FY2026).
- Going back by fiscal year, Total Liabilities was $2.67 billion in FY2025 (+0.6%), $2.66 billion in FY2024 (-6.5%), $2.84 billion in FY2023 (-7.9%) and $3.09 billion in FY2022 (+153.8%).
- The five-year range for quarterly Total Liabilities is $2.62 billion (fiscal Q3 2026) to $3.09 billion (fiscal Q4 2022).
- Year-over-year, Total Liabilities increased in two of the last eight quarters, with an average decline of 1.0%.
- The fastest year-over-year change in Total Liabilities over five years came in fiscal Q4 2022 (growth of 153.8%), and the weakest in fiscal Q1 2024 (a decline of 10.1%).
- Business Quant data shows MLKN's Total Liabilities at $2.66 billion (Q4 2026), $2.62 billion (Q3 2026) and $2.65 billion (Q2 2026) in the three fiscal quarters before Q1 2027.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | SharkNinja | 28.26 Bn | 25.93 Bn | 860.34 Mn | 2.75 Bn |
| 2 | Somnigroup International | 13.33 Bn | 12.87 Bn | 817.20 Mn | 8.38 Bn |
| 3 | Hni | 3.33 Bn | 2.90 Bn | 647.20 Mn | 3.01 Bn |
| 4 | Newell Brands | 2.39 Bn | 1.55 Bn | 812.00 Mn | 8.61 Bn |
| 5 | Sonos | 2.07 Bn | 971.23 Mn | 189.31 Mn | 478.59 Mn |
| 6 | Whirlpool | 1.75 Bn | -1.72 Bn | 442.00 Mn | 13.39 Bn |
| 7 | Arhaus | 1.57 Bn | 653.30 Mn | 172.07 Mn | 1.04 Bn |
| 8 | Corsair Gaming | 1.45 Bn | 981.55 Mn | 104.29 Mn | 551.41 Mn |
| 9 | Millerknoll | 1.44 Bn | 736.44 Mn | 385.30 Mn | 2.65 Bn |
| 10 | Cricut | 1.32 Bn | 297.70 Mn | 116.41 Mn | 217.49 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Aug 29, 2026 | 2.65 Bn |
| May 30, 2026 | 2.66 Bn |
| Feb 28, 2026 | 2.62 Bn |
| Nov 29, 2025 | 2.65 Bn |
| Aug 30, 2025 | 2.64 Bn |
| May 31, 2025 | 2.67 Bn |
| Mar 1, 2025 | 2.64 Bn |
| Nov 30, 2024 | 2.73 Bn |
| Aug 31, 2024 | 2.69 Bn |
| Jun 1, 2024 | 2.66 Bn |
| Mar 2, 2024 | 2.70 Bn |
| Dec 2, 2023 | 2.73 Bn |
| Sep 2, 2023 | 2.76 Bn |
| Jun 3, 2023 | 2.84 Bn |
| Mar 4, 2023 | 2.95 Bn |
| Dec 3, 2022 | 3.01 Bn |
| Sep 3, 2022 | 3.07 Bn |
| May 28, 2022 | 3.09 Bn |
| Feb 26, 2022 | 3.05 Bn |
| Nov 27, 2021 | 3.02 Bn |
API Access
Millerknoll Total Liabilities API
Pull this series into your own models, spreadsheets and apps with the Business Quant
Historical Metrics API. The request below matches the chart above — change the
frequency, period or values and it follows. Swap YOUR_API_KEY for your own key.
https://data.businessquant.com/historic?slug=total-liabilities&ticker=MLKN&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "ticker": "MLKN", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=total-liabilities&ticker=MLKN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();