Logistic Properties of the Americas (LPA) Commercial Paper and Short-Term Borrowings (2023)
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Analysis
Logistic Properties of the Americas (LPA) Commercial Paper and Short-Term Borrowings (2023) Analysis & Trends
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 | - |
API Access
Logistic Properties of the Americas Commercial Paper and Short-Term Borrowings 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=commercial-paper-and-short-term-borrowings&ticker=LPA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "commercial-paper-and-short-term-borrowings", "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=commercial-paper-and-short-term-borrowings&ticker=LPA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();