Millerknoll (MLKN) Accumulated Expenses (2011 - 2018)
Millerknoll's Accumulated Expenses came in at $74.2 million for fiscal Q4 2018 (quarter ended Jun 2, 2018), down 3.3% from $76.7 million a year earlier.
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Analysis
Millerknoll (MLKN) Accumulated Expenses (2011 - 2018) Analysis & Trends
Going back to fiscal Q4 2011, Millerknoll's Accumulated Expenses data covers 8 quarters.
- Accumulated Expenses carries a five-year compound annual growth rate of 1.4% (FY2013 to FY2018).
- Going back by fiscal year, Accumulated Expenses was $76.7 million in FY2017 (+28.0%), $59.9 million in FY2016 (-1.5%), $60.8 million in FY2015 (-1.5%) and $61.7 million in FY2014 (-10.8%).
- The fiscal Q4 2018 figure represents the lowest quarterly Accumulated Expenses since fiscal Q4 2016.
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 |
|---|---|
| Jun 2, 2018 | 74.20 Mn |
| Jun 3, 2017 | 76.70 Mn |
| May 28, 2016 | 59.90 Mn |
| May 30, 2015 | 60.80 Mn |
| May 31, 2014 | 61.70 Mn |
| Jun 1, 2013 | 69.20 Mn |
| Jun 2, 2012 | 137.90 Mn |
| May 28, 2011 | 153.10 Mn |
API Access
Millerknoll Accumulated 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=accumulated-expenses&ticker=MLKN&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-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=accumulated-expenses&ticker=MLKN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();