Millerknoll (MLKN) Restructuring Costs (2009 - 2026)
Millerknoll's Restructuring Costs came in at $8.1 million for fiscal Q4 2026 (quarter ended May 30, 2026), down 23.6% from $10.6 million a year earlier but up 326.3% from the prior quarter.
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Analysis
Millerknoll (MLKN) Restructuring Costs (2009 - 2026) Analysis & Trends
For FY2026 (ended May 30, 2026), Millerknoll's Restructuring Costs was $11.9 million, down 19.6% from FY2025.
- Restructuring Costs has declined in each of the last three fiscal years, though with a five-year compound annual growth rate of 34.5% (FY2021 to FY2026).
- Going back by fiscal year, Restructuring Costs was $14.8 million in FY2025 (-51.9%), $30.8 million in FY2024 (-10.5%) and $34.4 million in FY2023.
- The five-year range for quarterly Restructuring Costs is $500,000 (fiscal Q1 2023) to $22.1 million (fiscal Q4 2024).
- Year-over-year, Restructuring Costs increased in 1 of the last four quarters, with growth averaging 4.2%.
- The fastest year-over-year change in Restructuring Costs over five years came in fiscal Q1 2024 (growth of 940.0%), and the weakest in fiscal Q2 2024 (a decline of 87.8%).
- Business Quant data shows MLKN's Restructuring Costs at $1.9 million (Q3 2026), $1.4 million (Q2 2026) and $500,000 (Q1 2026) in the three fiscal quarters before Q4 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | SharkNinja | 25.65 Bn | 23.31 Bn | 860.34 Mn |
| 2 | Somnigroup International | 13.10 Bn | 12.65 Bn | 817.20 Mn |
| 3 | Hni | 3.38 Bn | 2.95 Bn | 647.20 Mn |
| 4 | Newell Brands | 2.32 Bn | 1.47 Bn | 812.00 Mn |
| 5 | Sonos | 2.13 Bn | 1.02 Bn | 189.31 Mn |
| 6 | Whirlpool | 2.04 Bn | -1.44 Bn | 442.00 Mn |
| 7 | Corsair Gaming | 1.46 Bn | 1.00 Bn | 104.29 Mn |
| 8 | Millerknoll | 1.38 Bn | 756.09 Mn | 395.60 Mn |
| 9 | Arhaus | 1.36 Bn | 443.23 Mn | 172.07 Mn |
| 10 | Cricut | 1.33 Bn | 300.62 Mn | 116.41 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| May 30, 2026 | 8.10 Mn |
| Feb 28, 2026 | 1.90 Mn |
| Nov 29, 2025 | 1.40 Mn |
| Aug 30, 2025 | 500,000.00 |
| May 31, 2025 | 10.60 Mn |
| Mar 1, 2025 | 4.20 Mn |
| Jun 1, 2024 | 22.10 Mn |
| Mar 2, 2024 | 1.70 Mn |
| Dec 2, 2023 | 1.80 Mn |
| Sep 2, 2023 | 5.20 Mn |
| Jun 3, 2023 | 14.60 Mn |
| Mar 4, 2023 | 4.60 Mn |
| Dec 3, 2022 | 14.70 Mn |
| Sep 3, 2022 | 500,000.00 |
| May 29, 2021 | 1.20 Mn |
| Feb 27, 2021 | 300,000.00 |
| Nov 28, 2020 | 2.40 Mn |
| Aug 29, 2020 | -1.20 Mn |
| May 30, 2020 | 16.80 Mn |
| Feb 29, 2020 | 3.50 Mn |
API Access
Millerknoll Restructuring Costs 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=restructuring-costs&ticker=MLKN&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "restructuring-costs", "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=restructuring-costs&ticker=MLKN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();