Bioceres Crop Solutions (BIOX) Land & Improvements (2017 - 2025)
Bioceres Crop Solutions' Land & Improvements came in at $39.08 million for fiscal Q2 2026 (quarter ended Dec 31, 2025), down 1.5% from $39.68 million a year earlier and unchanged from the prior quarter.
Bioceres Crop Solutions (BIOX) Land & Improvements (2017 - 2025) Analysis & Trends
At the end of FY2025 (ended Jun 30, 2025), Bioceres Crop Solutions' Land & Improvements was $13,410, down 100.0% from FY2024.
- Land & Improvements carries a five-year compound annual growth rate of -98.6% (FY2020 to FY2025).
- Going back by fiscal year, Land & Improvements was $39.68 million in FY2024, $1.84 million in FY2023 (-94.6%), $34.24 million in FY2022 (-100.0%) and $35.67 trillion in FY2021 (+19.9%).
- The five-year range for quarterly Land & Improvements is $13,410 (fiscal Q4 2025) to $46.28 trillion (fiscal Q3 2024).
- Year-over-year, Land & Improvements has declined for six consecutive quarters, with an average decline of 44.7% over the last seven quarters.
- The fastest year-over-year change in Land & Improvements over five years came in fiscal Q4 2021 (growth of 19.9%), and the weakest in fiscal Q3 2025 (a decline of 100.0%).
- Business Quant data shows BIOX's Land & Improvements at $39.08 million (Q1 2026), $13,410 (Q4 2025) and $39.68 million (Q3 2025) in the three fiscal quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Land & Improvements (Qtr) |
|---|---|---|---|---|---|
| 1 | Linde | 231.45 Bn | 213.03 Bn | 4.43 Bn | - |
| 2 | Corning | 116.59 Bn | 109.15 Bn | 1.63 Bn | - |
| 3 | Sherwin Williams | 82.19 Bn | 81.23 Bn | 3.34 Bn | - |
| 4 | Air Products & Chemicals | 67.40 Bn | 62.58 Bn | 1.04 Bn | - |
| 5 | LyondellBasell Industries | 40.93 Bn | 30.44 Bn | 2.04 Bn | - |
| 6 | Nutrien | 33.12 Bn | 29.95 Bn | 3.25 Bn | - |
| 7 | Qnity Electronics | 25.20 Bn | 22.33 Bn | 666.00 Mn | - |
| 8 | Ppg Industries | 24.54 Bn | 17.20 Bn | 1.81 Bn | - |
| 9 | Ati | 24.54 Bn | 22.56 Bn | 309.80 Mn | 31.20 Mn |
| 10 | Bioceres Crop Solutions | 15.21 Mn | -448.37 Mn | 12.70 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 39.08 Mn |
| Sep 30, 2025 | 39.08 Mn |
| Jun 30, 2025 | 13,410.00 |
| Mar 31, 2025 | 39.68 Mn |
| Dec 31, 2024 | 39.68 Mn |
| Sep 30, 2024 | 39.68 Mn |
| Jun 30, 2024 | 39.68 Mn |
| Mar 31, 2024 | 46,280.85 Bn |
| Dec 31, 2023 | 45,381.00 Bn |
| Sep 30, 2023 | 45.10 Mn |
| Jun 30, 2023 | 1.84 Mn |
| Mar 31, 2023 | 45,433.20 Bn |
| Dec 31, 2022 | 45,381.00 Bn |
| Jun 30, 2022 | 34.24 Mn |
| Dec 31, 2021 | 41,486.22 Bn |
| Jun 30, 2021 | 35,674.51 Bn |
| Dec 31, 2020 | 34,698.62 Bn |
| Jun 30, 2020 | 29,746.08 Bn |
| Jun 30, 2019 | 29,969.24 Bn |
| Jun 30, 2018 | 30,513.27 Bn |
Bioceres Crop Solutions Land & Improvements 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=land-and-improvements&ticker=BIOX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "land-and-improvements", "ticker": "BIOX", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=land-and-improvements&ticker=BIOX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();