Maui Land & Pineapple (MLP) Buildings (2010 - 2023)
Maui Land & Pineapple (MLP) recorded Buildings of $22.87 million in Q4 2023, unchanged from $22.87 million a year earlier.
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Analysis
Maui Land & Pineapple (MLP) Buildings (2010 - 2023) Analysis & Trends
Starting with Q4 2010, Maui Land & Pineapple's Buildings history includes 14 quarters.
- Annual Buildings has a five-year compound annual growth rate of -1.5% (FY2018 to FY2023).
- Across earlier years, Buildings came in at $22.87 million in FY2022 (unchanged), $22.87 million in FY2021 (-2.5%), $23.47 million in FY2020 (+0.1%) and $23.44 million in FY2019 (-4.9%).
- Quarterly Buildings has ranged from $22.87 million in Q4 2021 to $23.47 million in Q4 2020 over the past five years.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Texas Pacific Land | 23.31 Bn | 22.14 Bn | - |
| 2 | Eason Technology | 6.61 Bn | 6.61 Bn | - |
| 3 | LandBridge | 6.20 Bn | 6.54 Bn | 65.71 Mn |
| 4 | Millrose Properties | 4.06 Bn | 4.06 Bn | - |
| 5 | St Joe | 3.76 Bn | 3.26 Bn | 73.42 Mn |
| 6 | Vesta Real Estate Corporation, S.A.B. de C.V | 2.89 Bn | 2.89 Bn | - |
| 7 | Opendoor Technologies | 2.35 Bn | -1.47 Bn | 86.00 Mn |
| 8 | Forestar | 1.34 Bn | -3.23 Mn | 84.10 Mn |
| 9 | Five Point Holdings | 705.60 Mn | 734.37 Mn | -23.72 Mn |
| 10 | Maui Land & Pineapple | 321.21 Mn | 321.21 Mn | 1.14 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2023 | 22.87 Mn |
| Dec 31, 2022 | 22.87 Mn |
| Dec 31, 2021 | 22.87 Mn |
| Dec 31, 2020 | 23.47 Mn |
| Dec 31, 2019 | 23.44 Mn |
| Dec 31, 2018 | 24.66 Mn |
| Dec 31, 2017 | 24.88 Mn |
| Dec 31, 2016 | 24.88 Mn |
| Dec 31, 2015 | 32.59 Mn |
| Dec 31, 2014 | 33.48 Mn |
| Dec 31, 2013 | 33.53 Mn |
| Dec 31, 2012 | 35.65 Mn |
| Dec 31, 2011 | 35.65 Mn |
| Dec 31, 2010 | 40.68 Mn |
API Access
Maui Land & Pineapple 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=MLP&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "buildings", "ticker": "MLP", "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=MLP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();