Millerknoll (MLKN) Total Non-Current Liabilities (2010 - 2026)
Millerknoll's Total Non-Current Liabilities was $2.54 billion in fiscal Q4 2026 (quarter ended May 30, 2026), down 0.3% from $2.55 billion a year earlier but up 2.1% from the prior quarter.
Millerknoll (MLKN) Total Non-Current Liabilities (2010 - 2026) Analysis & Trends
From fiscal Q4 2010 onward, Millerknoll has reported Total Non-Current Liabilities for 65 quarters.
- Total Non-Current Liabilities shows a five-year compound annual growth rate of 18.6% (FY2021 to FY2026).
- In earlier fiscal years, Total Non-Current Liabilities was $2.55 billion in FY2025 (+4.7%), $2.43 billion in FY2024 (-5.5%), $2.58 billion in FY2023 (-7.5%) and $2.79 billion in FY2022 (+157.1%).
- Quarterly Total Non-Current Liabilities has moved between $2.43 billion (fiscal Q3 2025) and $2.79 billion (fiscal Q4 2022) over five years.
- Compared with a year earlier, Total Non-Current Liabilities was higher in three of the last eight quarters, with growth averaging 0.6%.
- The best year-over-year quarter for Total Non-Current Liabilities over five years was fiscal Q4 2022 (growth of 157.1%); the worst was fiscal Q1 2024 (a decline of 10.0%).
- Per Business Quant data, MLKN's Total Non-Current Liabilities in the three fiscal quarters before Q4 2026 was $2.49 billion (Q3 2026), $2.46 billion (Q2 2026) and $2.46 billion (Q1 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | SharkNinja | 25.37 Bn | 23.04 Bn | 860.34 Mn | 2.70 Bn |
| 2 | Somnigroup International | 13.07 Bn | 12.62 Bn | 817.20 Mn | 8.25 Bn |
| 3 | Hni | 3.27 Bn | 2.84 Bn | 647.20 Mn | 2.82 Bn |
| 4 | Newell Brands | 2.25 Bn | 1.41 Bn | 812.00 Mn | 7.88 Bn |
| 5 | Sonos | 2.12 Bn | 1.02 Bn | 189.31 Mn | 475.62 Mn |
| 6 | Whirlpool | 1.99 Bn | -1.49 Bn | 442.00 Mn | 8.39 Bn |
| 7 | Corsair Gaming | 1.46 Bn | 1.00 Bn | 104.29 Mn | 500.41 Mn |
| 8 | Millerknoll | 1.35 Bn | 714.71 Mn | 385.30 Mn | 2.53 Bn |
| 9 | Arhaus | 1.34 Bn | 420.59 Mn | 172.07 Mn | 1.03 Bn |
| 10 | Cricut | 1.34 Bn | 311.09 Mn | 116.41 Mn | 210.71 Mn |
Historic Data
| Date | Value |
|---|---|
| Aug 29, 2026 | 2.53 Bn |
| May 30, 2026 | 2.54 Bn |
| Feb 28, 2026 | 2.49 Bn |
| Nov 29, 2025 | 2.46 Bn |
| Aug 30, 2025 | 2.46 Bn |
| May 31, 2025 | 2.55 Bn |
| Mar 1, 2025 | 2.43 Bn |
| Nov 30, 2024 | 2.50 Bn |
| Aug 31, 2024 | 2.46 Bn |
| Jun 1, 2024 | 2.43 Bn |
| Mar 2, 2024 | 2.44 Bn |
| Dec 2, 2023 | 2.47 Bn |
| Sep 2, 2023 | 2.50 Bn |
| Jun 3, 2023 | 2.58 Bn |
| Mar 4, 2023 | 2.64 Bn |
| Dec 3, 2022 | 2.71 Bn |
| Sep 3, 2022 | 2.77 Bn |
| May 28, 2022 | 2.79 Bn |
| Feb 26, 2022 | 2.70 Bn |
| Nov 27, 2021 | 2.66 Bn |
Millerknoll Total Non-Current 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-non-current-liabilities&ticker=MLKN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-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-non-current-liabilities&ticker=MLKN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();