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 | 232.17 Bn | 213.75 Bn | 4.43 Bn | 2.12 Bn |
| 2 | Corning | 116.39 Bn | 108.95 Bn | 1.63 Bn | 3.43 Bn |
| 3 | Sherwin Williams | 82.26 Bn | 81.30 Bn | 3.34 Bn | 2.53 Bn |
| 4 | Air Products & Chemicals | 67.62 Bn | 62.80 Bn | 1.04 Bn | 751.60 Mn |
| 5 | LyondellBasell Industries | 40.73 Bn | 30.24 Bn | 2.04 Bn | 4.08 Bn |
| 6 | Nutrien | 32.93 Bn | 29.76 Bn | 3.25 Bn | 6.16 Bn |
| 7 | Qnity Electronics | 25.32 Bn | 22.45 Bn | 666.00 Mn | 730.00 Mn |
| 8 | Ati | 24.94 Bn | 22.97 Bn | 309.80 Mn | 1.67 Bn |
| 9 | Ppg Industries | 24.49 Bn | 17.15 Bn | 1.81 Bn | 2.23 Bn |
| 10 | Bioceres Crop Solutions | 15.91 Mn | -447.67 Mn | 12.70 Mn | 46.10 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 46.10 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();