BrasilAgro - Brazilian Agricultural Real Estate (LND) Price to Book (2012 - 2026)
BrasilAgro - Brazilian Agricultural Real Estate's Price to Book came in at 0.94 for fiscal Q4 2026 (quarter ended Jun 30, 2026), down 5.2% from 0.99 a year earlier.
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Analysis
BrasilAgro - Brazilian Agricultural Real Estate (LND) Price to Book (2012 - 2026) Analysis & Trends
Going back to fiscal Q4 2012, BrasilAgro - Brazilian Agricultural Real Estate's Price to Book data covers 21 quarters.
- Going back by fiscal year, Price to Book was 0.99 in FY2025 (-17.0%), 1.19 in FY2024 (+1.7%), 1.17 in FY2023 (+3.3%) and 1.13 in FY2022 (-19.6%).
- The fiscal Q4 2026 figure represents the lowest quarterly Price to Book since fiscal Q3 2016.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Archer-Daniels-Midland | 32.98 Bn | 29.75 Bn | 1.89 Bn |
| 2 | Tyson Foods | 21.20 Bn | 17.56 Bn | 921.00 Mn |
| 3 | Bunge Global | 19.10 Bn | 17.51 Bn | 1.33 Bn |
| 4 | Jbs | 13.72 Bn | -1.87 Bn | 2.41 Bn |
| 5 | Darling Ingredients | 7.99 Bn | 7.57 Bn | 477.54 Mn |
| 6 | Smithfield Foods | 7.58 Bn | 2.40 Bn | 313.00 Mn |
| 7 | Pilgrims Pride | 6.72 Bn | 4.22 Bn | 333.67 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 |
|---|---|
| Jun 30, 2026 | 0.94 |
| Jun 30, 2025 | 0.99 |
| Jun 30, 2024 | 1.19 |
| Jun 30, 2023 | 1.17 |
| Jun 30, 2022 | 1.13 |
| Jun 30, 2021 | 1.41 |
| Sep 30, 2020 | 1.16 |
| Jun 30, 2020 | 1.11 |
| Mar 31, 2020 | 0.78 |
| Dec 31, 2019 | 1.09 |
| Sep 30, 2019 | 0.98 |
| Jun 30, 2019 | 0.97 |
| Mar 31, 2019 | 0.95 |
| Dec 31, 2018 | 1.00 |
| Sep 30, 2018 | 0.84 |
| Jun 30, 2018 | 1.01 |
| Mar 31, 2018 | 1,002.21 |
| Dec 31, 2017 | 0.96 |
| Jun 30, 2017 | 1.07 |
| Jun 30, 2016 | 0.99 |
API Access
BrasilAgro - Brazilian Agricultural Real Estate Price to Book 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-book&ticker=LND&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-book", "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=price-to-book&ticker=LND&period=max&api_key=YOUR_API_KEY");
const data = await res.json();