BrasilAgro - Brazilian Agricultural Real Estate (LND) Intangibles (2010 - 2026)
Powered by 
Analysis
BrasilAgro - Brazilian Agricultural Real Estate (LND) Intangibles (2010 - 2026) Analysis & Trends
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Intangibles (Qtr) |
|---|---|---|---|---|---|
| 1 | Archer-Daniels-Midland | 33.69 Bn | 30.17 Bn | 1.89 Bn | 1.78 Bn |
| 2 | Tyson Foods | 21.12 Bn | 17.37 Bn | 921.00 Mn | 5.48 Bn |
| 3 | Bunge Global | 18.99 Bn | 15.90 Bn | 1.33 Bn | 278.00 Mn |
| 4 | Jbs | 13.48 Bn | -1.41 Bn | 2.59 Bn | 1.78 Bn |
| 5 | Darling Ingredients | 8.10 Bn | 7.65 Bn | 503.37 Mn | 822.03 Mn |
| 6 | Smithfield Foods | 7.58 Bn | 2.13 Bn | 313.00 Mn | 1.26 Bn |
| 7 | Pilgrims Pride | 6.86 Bn | 4.35 Bn | 333.67 Mn | 793.19 Mn |
| 8 | Ingredion | 5.83 Bn | 2.00 Bn | 426.00 Mn | 337.00 Mn |
| 9 | Scotts Miracle-Gro | 3.75 Bn | 3.67 Bn | 365.90 Mn | 350.10 Mn |
| 10 | BrasilAgro - Brazilian Agricultural Real Estate | 319.27 Mn | 150.53 Mn | - | 968,970.72 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 968,970.72 |
| Jun 30, 2025 | 930,016.02 |
| Jun 30, 2024 | 814,289.58 |
| Jun 30, 2023 | 394,801.88 |
| Jun 30, 2022 | 156,729.52 |
| Jun 30, 2021 | 222,800.74 |
| Sep 30, 2020 | 258,236.40 |
| Jun 30, 2020 | 271,931.28 |
| Mar 31, 2020 | 1.09 Mn |
| Dec 31, 2019 | 386,731.04 |
| Sep 30, 2019 | 387,529.74 |
| Jun 30, 2019 | 408,018.86 |
| Mar 31, 2019 | 375,349.54 |
| Dec 31, 2018 | 312,064.41 |
| Sep 30, 2018 | 328,514.46 |
| Jun 30, 2018 | 363,518.58 |
| Mar 31, 2018 | 412.90 |
| Dec 31, 2017 | 450,001.52 |
| Jun 30, 2017 | 506,252.45 |
| Dec 31, 2016 | 442,763.57 |
API Access
BrasilAgro - Brazilian Agricultural Real Estate Intangibles 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=intangibles&ticker=LND&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "intangibles", "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=intangibles&ticker=LND&period=max&api_key=YOUR_API_KEY");
const data = await res.json();