Logistic Properties of the Americas (LPA) Price to Earnings (2025 - 2026)
Logistic Properties of the Americas' (LPA) Price to Earnings came in at 6.15 for Q2 2026, down 80.4% from 31.36 a year earlier and down 80.4% from the prior quarter.
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Analysis
Logistic Properties of the Americas (LPA) Price to Earnings (2025 - 2026) Analysis & Trends
For FY2025, Logistic Properties of the Americas' Price to Earnings stood at 8.22.
- The Q2 2026 figure stands as the lowest quarterly Price to Earnings in data going back to Q2 2024.
- On a year-over-year basis, Price to Earnings increased in 1 of the last five quarters, with an average decline of 24.2%.
- According to Business Quant data, Price to Earnings for the three prior quarters was 31.43 (Q1 2026), 8.22 (Q4 2025) and 22.06 (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Texas Pacific Land | 23.35 Bn | 22.18 Bn | - |
| 2 | LandBridge | 6.08 Bn | 6.42 Bn | - |
| 3 | St Joe | 3.85 Bn | 3.35 Bn | 73.42 Mn |
| 4 | ETF Managers Trust | 3.80 Bn | -3.56 Bn | - |
| 5 | Millrose Properties | 3.68 Bn | 3.32 Bn | - |
| 6 | Vesta Real Estate Corporation, S.A.B. de C.V | 3.22 Bn | 2.03 Bn | - |
| 7 | Opendoor Technologies | 1.92 Bn | -1.90 Bn | 86.00 Mn |
| 8 | Logistic Properties of the Americas | 83.79 Mn | 125.26 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 6.15 |
| Mar 31, 2026 | 31.43 |
| Dec 31, 2025 | 8.22 |
| Sep 30, 2025 | 22.06 |
| Jun 30, 2025 | 31.36 |
| Mar 31, 2025 | 15.68 |
API Access
Logistic Properties of the Americas 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=LPA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-earnings", "ticker": "LPA", "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=LPA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();