BrasilAgro - Brazilian Agricultural Real Estate (LND) EPS (Diluted) (2016 - 2020)
BrasilAgro - Brazilian Agricultural Real Estate (LND) reported EPS (Diluted) of -$0.17 for FY2026 (year ended Jun 30, 2026).
Analysis
BrasilAgro - Brazilian Agricultural Real Estate (LND) EPS (Diluted) (2016 - 2020) Analysis & Trends
Dating back to FY2011, BrasilAgro - Brazilian Agricultural Real Estate's EPS (Diluted) record includes 16 fiscal years.
- The FY2026 figure ranks as the lowest annual EPS (Diluted) in data going back to FY2011.
- According to Business Quant data, EPS (Diluted) came in at $0.25 in FY2025 (-41.6%), $0.42 in FY2024 (-21.9%), $0.54 in FY2023 (-46.7%) and $1.02 in FY2022 (+23.0%).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EPS (Diluted) (Qtr) |
|---|---|---|---|---|---|
| 1 | Archer-Daniels-Midland | 32.98 Bn | 29.75 Bn | 1.89 Bn | 1.70 |
| 2 | Tyson Foods | 21.20 Bn | 17.56 Bn | 921.00 Mn | 0.51 |
| 3 | Bunge Global | 19.10 Bn | 17.51 Bn | 1.33 Bn | 1.64 |
| 4 | Jbs | 13.72 Bn | -1.87 Bn | 2.41 Bn | 87,000.53 |
| 5 | Darling Ingredients | 7.99 Bn | 7.57 Bn | 477.54 Mn | 1.67 |
| 6 | Smithfield Foods | 7.58 Bn | 2.40 Bn | 313.00 Mn | 0.23 |
| 7 | Pilgrims Pride | 6.72 Bn | 4.22 Bn | 333.67 Mn | 0.49 |
| 8 | Ingredion | 5.73 Bn | 1.83 Bn | 399.00 Mn | 2.23 |
| 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 | 0.25 |
| Mar 31, 2020 | 0.10 |
| Dec 31, 2019 | 0.09 |
| Sep 30, 2019 | 0.19 |
| Jun 30, 2019 | 0.17 |
| Mar 31, 2019 | 0.02 |
| Dec 31, 2018 | 0.00 |
| Sep 30, 2018 | 0.64 |
| Jun 30, 2018 | 0.21 |
| Mar 31, 2018 | 0.29 |
| Dec 31, 2017 | 0.06 |
| Sep 30, 2017 | 0.11 |
| Jun 30, 2017 | 0.11 |
| Mar 31, 2017 | 0.00 |
| Dec 31, 2016 | -0.01 |
| Jun 30, 2016 | -0.17 |
API Access
BrasilAgro - Brazilian Agricultural Real Estate EPS (Diluted) 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=eps-diluted&ticker=LND&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "eps-diluted", "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=eps-diluted&ticker=LND&period=max&api_key=YOUR_API_KEY");
const data = await res.json();