BrasilAgro - Brazilian Agricultural Real Estate (LND) Price to FCF (2012 - 2020)
BrasilAgro - Brazilian Agricultural Real Estate's (LND) Price to FCF was 34.02 for FY2026 (year ended Jun 30, 2026).
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Analysis
BrasilAgro - Brazilian Agricultural Real Estate (LND) Price to FCF (2012 - 2020) Analysis & Trends
Dating back to FY2012, BrasilAgro - Brazilian Agricultural Real Estate's Price to FCF record includes 12 fiscal years.
- The FY2026 figure ranks as the lowest annual Price to FCF since FY2023.
- According to Business Quant data, Price to FCF came in at 213.96 in FY2024 (+642.8%), 28.80 in FY2023 (+75.5%) and 16.42 in FY2022 (-51.5%).
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 |
|---|---|
| Sep 30, 2020 | 6.18 |
| Sep 30, 2019 | 9.50 |
| Jun 30, 2019 | 3.30 |
| Sep 30, 2018 | 2.66 |
| Jun 30, 2018 | 2.69 |
| Dec 31, 2017 | 3.07 |
| Sep 30, 2017 | 10.43 |
| Jun 30, 2017 | 32.49 |
| Dec 31, 2016 | 26.06 |
| Jun 30, 2016 | 87.77 |
| Jun 30, 2015 | 16.11 |
| Mar 31, 2015 | 6.18 |
| Dec 31, 2014 | 8.63 |
| Sep 30, 2014 | 8.49 |
| Jun 30, 2014 | 10.67 |
| Dec 31, 2013 | 6.86 |
| Sep 30, 2013 | 5.77 |
| Jun 30, 2013 | 21.85 |
| Dec 31, 2012 | 20.87 |
API Access
BrasilAgro - Brazilian Agricultural Real Estate Price to FCF 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-fcf&ticker=LND&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-fcf", "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-fcf&ticker=LND&period=max&api_key=YOUR_API_KEY");
const data = await res.json();