Millerknoll (MLKN) Land & Improvements (2010 - 2019)
Millerknoll (MLKN) posted Land & Improvements of $24.2 million for fiscal Q4 2019 (quarter ended Jun 1, 2019), down 0.8% from $24.4 million a year earlier.
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Analysis
Millerknoll (MLKN) Land & Improvements (2010 - 2019) Analysis & Trends
Since fiscal Q4 2010, Millerknoll has reported Land & Improvements for 10 quarters.
- Annual Land & Improvements shows a five-year compound annual growth rate of 2.4% (FY2014 to FY2019).
- In prior fiscal years, Millerknoll's Land & Improvements was $24.4 million in FY2018 (+1.7%), $24 million in FY2017 (-0.4%), $24.1 million in FY2016 (+12.6%) and $21.4 million in FY2015 (-0.5%).
- The fiscal Q4 2019 figure stands as the lowest quarterly Land & Improvements since fiscal Q4 2017.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Land & Improvements (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 | 84.10 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 1, 2019 | 24.20 Mn |
| Jun 2, 2018 | 24.40 Mn |
| Jun 3, 2017 | 24.00 Mn |
| May 28, 2016 | 24.10 Mn |
| May 30, 2015 | 21.40 Mn |
| May 31, 2014 | 21.50 Mn |
| Jun 1, 2013 | 26.70 Mn |
| Jun 2, 2012 | 19.20 Mn |
| May 28, 2011 | 19.90 Mn |
| May 29, 2010 | 19.40 Mn |
API Access
Millerknoll Land & Improvements 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=land-and-improvements&ticker=MLKN&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "land-and-improvements", "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=land-and-improvements&ticker=MLKN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();