BrasilAgro - Brazilian Agricultural Real Estate Co (LND) Cash & Equivalents (2010 - 2025)
BrasilAgro - Brazilian Agricultural Real Estate (LND) recorded Cash & Equivalents of $27.05 million in the quarter ended Jun 30, 2025, down 17.7% from $32.88 million a year earlier.
BrasilAgro - Brazilian Agricultural Real Estate Co (LND) Cash & Equivalents (2010 - 2025) Analysis & Trends
Starting with the quarter ended Jun 30, 2010, BrasilAgro - Brazilian Agricultural Real Estate's Cash & Equivalents history includes 19 quarters.
- Annual Cash & Equivalents has declined for four straight years, with a five-year compound annual growth rate of -7.0% (years ended Jun 2020 to Jun 2025).
- Across earlier years, Cash & Equivalents came in at $32.88 million in the year ended Jun 30, 2024 (-57.6%), $77.51 million in the year ended Jun 30, 2023 (-12.8%), $88.88 million in the year ended Jun 30, 2022 (-55.5%) and $199.54 million in the year ended Jun 30, 2021 (+413.1%).
- The figure for the quarter ended Jun 30, 2025 is the lowest quarterly Cash & Equivalents since the quarter ended Jun 30, 2017.
Peer Comparison
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2025 | 26.09 Mn |
| Jun 30, 2024 | 31.08 Mn |
| Jun 30, 2023 | 79.05 Mn |
| Jun 30, 2022 | 84.06 Mn |
| Jun 30, 2021 | 213.74 Mn |
| Sep 30, 2020 | 39.81 Mn |
| Jun 30, 2020 | 31.66 Mn |
| Mar 31, 2020 | 14.00 Mn |
| Dec 31, 2019 | 22.31 Mn |
| Sep 30, 2019 | 27.05 Mn |
| Jun 30, 2019 | 27.94 Mn |
| Mar 31, 2019 | 14.11 Mn |
| Dec 31, 2018 | 17.10 Mn |
| Sep 30, 2018 | 16.91 Mn |
| Jun 30, 2018 | 27.03 Mn |
| Mar 31, 2018 | 5,079.46 |
| Dec 31, 2017 | 6.47 Mn |
| Jun 30, 2017 | 13.26 Mn |
| Jun 30, 2016 | 16.74 Mn |
| Mar 31, 2016 | 25.28 Mn |
BrasilAgro - Brazilian Agricultural Real Estate Co Cash & Equivalents 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=cash-and-equivalents&ticker=LND&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=LND&period=max&api_key=YOUR_API_KEY");
const data = await res.json();