Maui Land & Pineapple (MLP) EBITDA Margin (2010 - 2011)
Maui Land & Pineapple's EBITDA Margin came in at -17.54% for FY2025, up 39.80 percentage points from -57.34% in FY2024.
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Analysis
Maui Land & Pineapple (MLP) EBITDA Margin (2010 - 2011) Analysis & Trends
Going back to FY2010, Maui Land & Pineapple's EBITDA Margin data covers 16 years.
- EBITDA Margin carries a five-year change of -2.28 percentage points (FY2020 to FY2025).
- The FY2025 figure represents the highest annual EBITDA Margin since FY2022.
- Per Business Quant, earlier years put EBITDA Margin at -57.34% in FY2024 (-12.27 pp), -45.06% in FY2023 (-96.22 pp), 51.16% in FY2022 (+27.55 pp) and 23.61% in FY2021 (+38.86 pp).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Texas Pacific Land | 23.31 Bn | 22.14 Bn | - | 84.72% |
| 2 | Eason Technology | 6.61 Bn | 6.61 Bn | - | - |
| 3 | LandBridge | 6.20 Bn | 6.54 Bn | 65.71 Mn | 72.61% |
| 4 | Millrose Properties | 4.06 Bn | 4.06 Bn | - | - |
| 5 | St Joe | 3.76 Bn | 3.26 Bn | 73.42 Mn | 41.66% |
| 6 | Vesta Real Estate Corporation, S.A.B. de C.V | 2.89 Bn | 2.89 Bn | - | 91.85% |
| 7 | Opendoor Technologies | 2.35 Bn | -1.47 Bn | 86.00 Mn | -15.40% |
| 8 | Forestar | 1.34 Bn | -3.23 Mn | 84.10 Mn | 11.43% |
| 9 | Five Point Holdings | 705.60 Mn | 734.37 Mn | -23.72 Mn | -311.27% |
| 10 | Maui Land & Pineapple | 321.21 Mn | 321.21 Mn | 1.14 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2011 | -1.10% |
| Jun 30, 2011 | -23.01% |
| Sep 30, 2010 | -66.52% |
| Jun 30, 2010 | 4.62% |
API Access
Maui Land & Pineapple EBITDA Margin 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=ebitda-margin&ticker=MLP&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda-margin", "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=ebitda-margin&ticker=MLP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();