BrasilAgro - Brazilian Agricultural Real Estate (LND) Revenue (2011 - 2020)
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Analysis
BrasilAgro - Brazilian Agricultural Real Estate (LND) Revenue (2011 - 2020) Analysis & Trends
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Revenue (Qtr) |
|---|---|---|---|---|---|
| 1 | Archer-Daniels-Midland | 33.69 Bn | 30.17 Bn | 1.89 Bn | 22.34 Bn |
| 2 | Tyson Foods | 21.12 Bn | 17.37 Bn | 921.00 Mn | 13.87 Bn |
| 3 | Bunge Global | 18.99 Bn | 15.90 Bn | 1.33 Bn | 23.80 Bn |
| 4 | Jbs | 13.48 Bn | -1.41 Bn | 2.59 Bn | 23.90 Bn |
| 5 | Darling Ingredients | 8.10 Bn | 7.65 Bn | 503.37 Mn | 1.72 Bn |
| 6 | Smithfield Foods | 7.58 Bn | 2.13 Bn | 313.00 Mn | 3.44 Bn |
| 7 | Pilgrims Pride | 6.86 Bn | 4.35 Bn | 333.67 Mn | 4.65 Bn |
| 8 | Ingredion | 5.83 Bn | 2.00 Bn | 426.00 Mn | 1.85 Bn |
| 9 | Scotts Miracle-Gro | 3.75 Bn | 3.67 Bn | 365.90 Mn | 1.17 Bn |
| 10 | BrasilAgro - Brazilian Agricultural Real Estate | 319.27 Mn | 150.53 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2020 | 41.36 Mn |
| Sep 30, 2019 | 41.93 Mn |
| Jun 30, 2019 | 22.88 Mn |
| Mar 31, 2019 | 71.97 Mn |
| Dec 31, 2018 | 104.19 Mn |
| Sep 30, 2018 | 57.12 Mn |
| Jun 30, 2018 | 21.10 Mn |
| Mar 31, 2018 | 30.50 Mn |
| Dec 31, 2017 | 59.67 Mn |
| Sep 30, 2017 | 24,575.12 |
| Jun 30, 2017 | 6.14 Mn |
| Jun 30, 2016 | 3.74 Mn |
| Mar 31, 2016 | 1.76 Mn |
| Dec 31, 2015 | 3.54 Mn |
| Sep 30, 2015 | 32.49 Mn |
| Jun 30, 2015 | 25.98 Mn |
| Mar 31, 2015 | 7.50 Mn |
| Dec 31, 2014 | 15.66 Mn |
| Sep 30, 2014 | 22.40 Mn |
| Jun 30, 2014 | 644,169.30 |
API Access
BrasilAgro - Brazilian Agricultural Real Estate Revenue 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=revenue&ticker=LND&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "revenue", "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=revenue&ticker=LND&period=max&api_key=YOUR_API_KEY");
const data = await res.json();