BrasilAgro - Brazilian Agricultural Real Estate (LND) Selling, General & Administrative (2011 - 2020)
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Analysis
BrasilAgro - Brazilian Agricultural Real Estate (LND) Selling, General & Administrative (2011 - 2020) Analysis & Trends
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Archer-Daniels-Midland | 32.98 Bn | 29.75 Bn | 1.89 Bn | 946.00 Mn |
| 2 | Tyson Foods | 21.20 Bn | 17.56 Bn | 921.00 Mn | 559.00 Mn |
| 3 | Bunge Global | 19.10 Bn | 17.51 Bn | 1.33 Bn | 605.00 Mn |
| 4 | Jbs | 13.72 Bn | -1.87 Bn | 2.41 Bn | 455.66 Mn |
| 5 | Darling Ingredients | 7.99 Bn | 7.57 Bn | 477.54 Mn | 166.89 Mn |
| 6 | Smithfield Foods | 7.58 Bn | 2.40 Bn | 313.00 Mn | 193.00 Mn |
| 7 | Pilgrims Pride | 6.72 Bn | 4.22 Bn | 333.67 Mn | 142.17 Mn |
| 8 | Ingredion | 5.73 Bn | 1.83 Bn | 399.00 Mn | - |
| 9 | Scotts Miracle-Gro | 3.79 Bn | 3.79 Bn | - | - |
| 10 | BrasilAgro - Brazilian Agricultural Real Estate | 331.67 Mn | 113.18 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2020 | 1.47 Mn |
| Mar 31, 2020 | 2.04 Mn |
| Dec 31, 2019 | 2.39 Mn |
| Sep 30, 2019 | 2.32 Mn |
| Jun 30, 2019 | 3.64 Mn |
| Mar 31, 2019 | 1.98 Mn |
| Dec 31, 2018 | 1.78 Mn |
| Sep 30, 2018 | 2.62 Mn |
| Jun 30, 2018 | 3.72 Mn |
| Mar 31, 2018 | 2.11 Mn |
| Dec 31, 2017 | 1.25 Mn |
| Sep 30, 2017 | 2.41 Mn |
| Jun 30, 2017 | 3.53 Mn |
| Mar 31, 2017 | 1,898.72 |
| Dec 31, 2016 | 1.89 Mn |
| Jun 30, 2016 | 2.51 Mn |
| Mar 31, 2016 | 1.60 Mn |
| Dec 31, 2015 | 338,229.51 |
| Sep 30, 2015 | 5.45 Mn |
| Jun 30, 2015 | 4.37 Mn |
API Access
BrasilAgro - Brazilian Agricultural Real Estate Selling, General & Administrative 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=selling-general-and-administrative&ticker=LND&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "ticker": "LND", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=selling-general-and-administrative&ticker=LND&period=max&api_key=YOUR_API_KEY");
const data = await res.json();