Bioceres Crop Solutions (BIOX) Inventory (2016 - 2026)
Bioceres Crop Solutions (BIOX) recorded Inventory of $46.1 million in fiscal Q4 2026 (quarter ended Jun 30, 2026), down 47.4% from $87.6 million a year earlier and down 4.8% from the prior quarter.
Bioceres Crop Solutions (BIOX) Inventory (2016 - 2026) Analysis & Trends
Starting with fiscal Q4 2017, Bioceres Crop Solutions' Inventory history includes 30 quarters.
- Annual Inventory has declined for three straight fiscal years, with a five-year compound annual growth rate of -8.7% (FY2021 to FY2026).
- Across earlier fiscal years, Inventory came in at $87.6 million in FY2025 (-21.0%), $110.91 million in FY2024 (-1.0%), $111.99 million in FY2023 (+42.2%) and $78.76 million in FY2022.
- Quarterly Inventory has ranged from $6.34 million in fiscal Q2 2026 to $118.97 million in fiscal Q1 2024 over the past five years.
- On a year-over-year basis, Inventory rose in 1 of the last eight quarters, with growth averaging 42.8%.
- Peak year-over-year performance for Inventory in the last five years was growth of 644.8% in fiscal Q3 2026, against a decline of 94.4% in fiscal Q3 2025 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $48.4 million (Q3 2026), $6.34 million (Q2 2026) and $85.02 million (Q1 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Inventory (Qtr) |
|---|---|---|---|---|---|
| 1 | Linde | 238.84 Bn | 220.98 Bn | 4.44 Bn | 2.13 Bn |
| 2 | Corning | 98.69 Bn | 90.37 Bn | 1.81 Bn | 3.65 Bn |
| 3 | Sherwin Williams | 85.12 Bn | 84.13 Bn | 3.28 Bn | 2.55 Bn |
| 4 | Air Products & Chemicals | 69.02 Bn | 64.21 Bn | 1.04 Bn | 751.60 Mn |
| 5 | LyondellBasell Industries | 38.36 Bn | 26.43 Bn | 1.50 Bn | 4.07 Bn |
| 6 | Nutrien | 34.35 Bn | 30.38 Bn | - | 6.98 Bn |
| 7 | Ppg Industries | 27.44 Bn | 20.36 Bn | 1.76 Bn | 2.24 Bn |
| 8 | Qnity Electronics | 26.06 Bn | 22.20 Bn | 743.00 Mn | 775.00 Mn |
| 9 | Ati | 25.56 Bn | 23.51 Bn | 380.20 Mn | 1.66 Bn |
| 10 | Bioceres Crop Solutions | 14.92 Mn | -61.25 Mn | - | 46.41 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 46.41 Mn |
| Mar 31, 2026 | 48.40 Mn |
| Dec 31, 2025 | 64.79 Mn |
| Sep 30, 2025 | 85.02 Mn |
| Jun 30, 2025 | 87.61 Mn |
| Mar 31, 2025 | 92.02 Mn |
| Dec 31, 2024 | 92.23 Mn |
| Sep 30, 2024 | 109.45 Mn |
| Jun 30, 2024 | 110.91 Mn |
| Mar 31, 2024 | 115.68 Mn |
| Dec 31, 2023 | 109.62 Mn |
| Sep 30, 2023 | 118.97 Mn |
| Jun 30, 2023 | 111.99 Mn |
| Mar 31, 2023 | 113.50 Mn |
| Dec 31, 2022 | 107.54 Mn |
| Sep 30, 2022 | 101.68 Mn |
| Jun 30, 2022 | 78.76 Mn |
| Mar 31, 2022 | 62.94 Mn |
| Dec 31, 2021 | 56.28 Mn |
| Sep 30, 2021 | 72.55 Mn |
Bioceres Crop Solutions Inventory 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=inventory&ticker=BIOX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "inventory", "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=inventory&ticker=BIOX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();