Kaanapali Land (KANP) Price to Earnings (2011 - 2026)
Kaanapali Land's (KANP) Price to Earnings was 5.11 for Q2 2026, up 15.6% from the prior quarter.
Analysis
Kaanapali Land (KANP) Price to Earnings (2011 - 2026) Analysis & Trends
For FY2023, Price to Earnings at Kaanapali Land was 11.24, down 18.8% from FY2022.
- By year, Price to Earnings came in at 13.84 in FY2022 (-90.5%) and 146.34 in FY2021.
- The Q2 2026 figure ranks as the highest quarterly Price to Earnings since Q3 2024.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Texas Pacific Land | 23.47 Bn | 22.30 Bn | - |
| 2 | LandBridge | 6.46 Bn | 6.80 Bn | 65.71 Mn |
| 3 | Eason Technology | 6.34 Bn | 6.34 Bn | - |
| 4 | Millrose Properties | 3.80 Bn | 3.80 Bn | - |
| 5 | St Joe | 3.73 Bn | 3.23 Bn | 73.42 Mn |
| 6 | Vesta Real Estate Corporation, S.A.B. de C.V | 2.87 Bn | 2.87 Bn | - |
| 7 | Opendoor Technologies | 2.36 Bn | -1.46 Bn | 86.00 Mn |
| 8 | Forestar | 1.31 Bn | -33.33 Mn | 84.10 Mn |
| 9 | Five Point Holdings | 674.47 Mn | 703.24 Mn | -23.72 Mn |
| 10 | Kaanapali Land | 55.55 Mn | -54.01 Mn | -406,000.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 5.11 |
| Mar 31, 2026 | 4.42 |
| Sep 30, 2024 | 109.46 |
| Jun 30, 2024 | 40.83 |
| Mar 31, 2024 | 15.64 |
| Dec 31, 2023 | 11.24 |
| Sep 30, 2023 | 8.19 |
| Jun 30, 2023 | 8.33 |
| Mar 31, 2023 | 402.08 |
| Dec 31, 2022 | 13.84 |
| Sep 30, 2022 | 7.02 |
| Jun 30, 2022 | 7.20 |
| Mar 31, 2022 | 7.00 |
| Dec 31, 2021 | 146.34 |
| Sep 30, 2018 | 8.99 |
| Jun 30, 2018 | 5.58 |
| Mar 31, 2018 | 5.52 |
| Dec 31, 2017 | 5.69 |
| Sep 30, 2013 | 39.07 |
| Jun 30, 2013 | 28.38 |
API Access
Kaanapali Land 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=KANP&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-earnings", "ticker": "KANP", "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=KANP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();