Millerknoll (MLKN) Buildings (2010 - 2019)
Millerknoll (MLKN) posted Buildings of $267.6 million for fiscal Q4 2019 (quarter ended Jun 1, 2019), up 12.2% from $238.6 million a year earlier.
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Analysis
Millerknoll (MLKN) Buildings (2010 - 2019) Analysis & Trends
Since fiscal Q4 2010, Millerknoll has reported Buildings for 10 quarters.
- Annual Buildings has increased for seven consecutive fiscal years, with a five-year compound annual growth rate of 10.7% (FY2014 to FY2019).
- In prior fiscal years, Millerknoll's Buildings was $238.6 million in FY2018 (+4.2%), $229 million in FY2017 (+11.3%), $205.7 million in FY2016 (+8.9%) and $188.9 million in FY2015 (+17.3%).
- The fiscal Q4 2019 figure stands as the highest quarterly Buildings in data going back to fiscal Q4 2010.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | SharkNinja | 25.70 Bn | 23.37 Bn | 860.34 Mn |
| 2 | Somnigroup International | 13.10 Bn | 12.64 Bn | 817.20 Mn |
| 3 | Hni | 3.37 Bn | 2.94 Bn | 647.20 Mn |
| 4 | Newell Brands | 2.27 Bn | 1.42 Bn | 812.00 Mn |
| 5 | Sonos | 2.11 Bn | 1.01 Bn | 189.31 Mn |
| 6 | Whirlpool | 1.99 Bn | -1.49 Bn | 442.00 Mn |
| 7 | Corsair Gaming | 1.46 Bn | 999.46 Mn | 104.29 Mn |
| 8 | Millerknoll | 1.37 Bn | 735.34 Mn | 385.30 Mn |
| 9 | Cricut | 1.34 Bn | 317.37 Mn | 116.41 Mn |
| 10 | Arhaus | 1.34 Bn | 419.18 Mn | 172.07 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 1, 2019 | 267.60 Mn |
| Jun 2, 2018 | 238.60 Mn |
| Jun 3, 2017 | 229.00 Mn |
| May 28, 2016 | 205.70 Mn |
| May 30, 2015 | 188.90 Mn |
| May 31, 2014 | 161.10 Mn |
| Jun 1, 2013 | 160.00 Mn |
| Jun 2, 2012 | 146.00 Mn |
| May 28, 2011 | 149.50 Mn |
| May 29, 2010 | 147.60 Mn |
API Access
Millerknoll Buildings 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=buildings&ticker=MLKN&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "buildings", "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=buildings&ticker=MLKN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();