Maui Land & Pineapple (MLP) Price to Earnings (2011 - 2023)
Maui Land & Pineapple's (MLP) Price to Earnings stood at 224.91 in Q1 2023, up 119.1% from the prior quarter.
Analysis
Maui Land & Pineapple (MLP) Price to Earnings (2011 - 2023) Analysis & Trends
For FY2022, Maui Land & Pineapple's Price to Earnings came in at 102.67.
- Across earlier years, Price to Earnings came in at 380.97 in FY2018.
- The Q1 2023 figure is the highest quarterly Price to Earnings since Q3 2021.
- Per Business Quant, the preceding three quarters came in at 102.67 (Q4 2022), 32.13 (Q3 2022) and 33.22 (Q2 2022).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Texas Pacific Land | 23.22 Bn | 22.04 Bn | - |
| 2 | Eason Technology | 6.48 Bn | 6.48 Bn | - |
| 3 | LandBridge | 6.20 Bn | 6.55 Bn | 65.71 Mn |
| 4 | Millrose Properties | 3.89 Bn | 3.89 Bn | - |
| 5 | St Joe | 3.72 Bn | 3.22 Bn | 73.42 Mn |
| 6 | Vesta Real Estate Corporation, S.A.B. de C.V | 2.82 Bn | 2.82 Bn | - |
| 7 | Opendoor Technologies | 2.32 Bn | -1.49 Bn | 86.00 Mn |
| 8 | Forestar | 1.33 Bn | -21.59 Mn | 84.10 Mn |
| 9 | Five Point Holdings | 677.43 Mn | 706.20 Mn | -23.72 Mn |
| 10 | Maui Land & Pineapple | 314.05 Mn | 314.05 Mn | 1.14 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2023 | 224.91 |
| Dec 31, 2022 | 102.67 |
| Sep 30, 2022 | 32.13 |
| Jun 30, 2022 | 33.22 |
| Sep 30, 2021 | 3,040.94 |
| Sep 30, 2019 | 87.97 |
| Jun 30, 2019 | 260.88 |
| Mar 31, 2019 | 595.74 |
| Dec 31, 2018 | 380.97 |
| Mar 31, 2018 | 54.19 |
| Dec 31, 2017 | 30.22 |
| Sep 30, 2017 | 13.79 |
| Jun 30, 2017 | 17.39 |
| Mar 31, 2017 | 7.65 |
| Dec 31, 2016 | 6.22 |
| Sep 30, 2016 | 9.25 |
| Jun 30, 2016 | 6.58 |
| Mar 31, 2016 | 16.91 |
| Dec 31, 2015 | 15.12 |
| Sep 30, 2015 | 3.74 |
API Access
Maui Land & Pineapple Price to Earnings 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=price-to-earnings&ticker=MLP&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-earnings", "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=price-to-earnings&ticker=MLP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();