Millerknoll (MLKN) Other Operating Expenses (2009 - 2025)
Millerknoll (MLKN) reported Other Operating Expenses of $130 million for FY2025 (year ended May 31, 2025), up 673.8% from $16.8 million in FY2024.
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Analysis
Millerknoll (MLKN) Other Operating Expenses (2009 - 2025) Analysis & Trends
Dating back to FY2020, Millerknoll's Other Operating Expenses record includes 4 fiscal years.
- Other Operating Expenses has a five-year compound annual growth rate of -8.7% (FY2020 to FY2025).
- The FY2025 figure ranks as the highest annual Other Operating Expenses since FY2020.
- According to Business Quant data, Other Operating Expenses came in at $16.8 million in FY2024 (-59.2%) and $41.2 million in FY2023.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | SharkNinja | 25.37 Bn | 23.04 Bn | 860.34 Mn |
| 2 | Somnigroup International | 13.07 Bn | 12.62 Bn | 817.20 Mn |
| 3 | Hni | 3.27 Bn | 2.84 Bn | 647.20 Mn |
| 4 | Newell Brands | 2.25 Bn | 1.41 Bn | 812.00 Mn |
| 5 | Sonos | 2.12 Bn | 1.02 Bn | 189.31 Mn |
| 6 | Whirlpool | 1.99 Bn | -1.49 Bn | 442.00 Mn |
| 7 | Corsair Gaming | 1.46 Bn | 1.00 Bn | 104.29 Mn |
| 8 | Millerknoll | 1.35 Bn | 714.71 Mn | 385.30 Mn |
| 9 | Arhaus | 1.34 Bn | 420.59 Mn | 172.07 Mn |
| 10 | Cricut | 1.34 Bn | 311.09 Mn | 116.41 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 1, 2025 | 130.00 Mn |
| Jun 1, 2024 | 16.80 Mn |
| Jun 3, 2023 | 19.70 Mn |
| Mar 4, 2023 | 21.50 Mn |
| May 30, 2020 | 205.40 Mn |
| Jun 2, 2012 | 114.80 Mn |
| Mar 3, 2012 | 108.90 Mn |
| Dec 3, 2011 | 111.40 Mn |
| Sep 3, 2011 | 112.50 Mn |
| May 28, 2011 | 117.20 Mn |
| Feb 26, 2011 | 101.90 Mn |
| Nov 27, 2010 | 100.10 Mn |
| Aug 28, 2010 | 92.60 Mn |
| May 29, 2010 | 98.80 Mn |
| Feb 27, 2010 | 83.40 Mn |
| Nov 28, 2009 | 87.70 Mn |
| Aug 29, 2009 | 88.20 Mn |
API Access
Millerknoll Other Operating Expenses 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=other-operating-expenses&ticker=MLKN&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-operating-expenses", "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=other-operating-expenses&ticker=MLKN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();