BrasilAgro - Brazilian Agricultural Real Estate Co (LND) Receivables (2010 - 2025)
BrasilAgro - Brazilian Agricultural Real Estate's Receivables came in at $162.33 million for the quarter ended Jun 30, 2025, up 101.9% from $80.4 million a year earlier.
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Analysis
BrasilAgro - Brazilian Agricultural Real Estate Co (LND) Receivables (2010 - 2025) Analysis & Trends
Going back to the quarter ended Jun 30, 2010, BrasilAgro - Brazilian Agricultural Real Estate's Receivables data covers 19 quarters.
- Receivables carries a five-year compound annual growth rate of 19.5% (years ended Jun 2020 to Jun 2025).
- Going back by year, Receivables was $170.1 million in the year ended Jun 30, 2024 (-3.1%), $175.52 million in the year ended Jun 30, 2023 (+25.2%), $140.2 million in the year ended Jun 30, 2022 (+42.9%) and $98.12 million in the year ended Jun 30, 2021 (+47.5%).
- The figure for the quarter ended Jun 30, 2025 represents the highest quarterly Receivables in data going back to the quarter ended Jun 30, 2010.
Peer Set
Peer Comparison
Historic Data
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Historic Data
| Date | Value |
|---|---|
| Jun 30, 2025 | 80.03 Mn |
| Jun 30, 2024 | 76.00 Mn |
| Jun 30, 2023 | 88.90 Mn |
| Jun 30, 2022 | 85.78 Mn |
| Jun 30, 2021 | 38.15 Mn |
| Jun 30, 2020 | 58.08 Mn |
| Mar 31, 2020 | 49.37 Mn |
| Dec 31, 2019 | 51.18 Mn |
| Sep 30, 2019 | 48.74 Mn |
| Jun 30, 2019 | 32.84 Mn |
| Mar 31, 2019 | 20.87 Mn |
| Dec 31, 2018 | 45.47 Mn |
| Sep 30, 2018 | 47.22 Mn |
| Jun 30, 2018 | 14.82 Mn |
| Mar 31, 2018 | 19,720.30 |
| Dec 31, 2017 | 22.43 Mn |
| Jun 30, 2017 | 27.15 Mn |
| Jun 30, 2016 | 26.83 Mn |
| Mar 31, 2016 | 9.54 Mn |
| Dec 31, 2015 | 11.03 Mn |
API Access
BrasilAgro - Brazilian Agricultural Real Estate Co Receivables 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=receivables&ticker=LND&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables", "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=receivables&ticker=LND&period=max&api_key=YOUR_API_KEY");
const data = await res.json();