Bioceres Crop Solutions (BIOX) Total Liabilities (2017 - 2026)
Bioceres Crop Solutions (BIOX) posted Total Liabilities of $439.7 million for fiscal Q3 2026 (quarter ended Mar 31, 2026), down 3.0% from $453.24 million a year earlier and down 3.1% from the prior quarter.
Bioceres Crop Solutions (BIOX) Total Liabilities (2017 - 2026) Analysis & Trends
At the end of FY2025 (ended Jun 30, 2025), Bioceres Crop Solutions' Total Liabilities came in at $468.4 million, down 6.5% from FY2024.
- Annual Total Liabilities shows a five-year compound annual growth rate of 13.5% (FY2020 to FY2025).
- In prior fiscal years, Bioceres Crop Solutions' Total Liabilities was $501.17 million in FY2024 (+2.8%), $487.56 million in FY2023 (+35.5%), $359.92 million in FY2022 and $354.46 million in FY2021 (+42.7%).
- The fiscal Q3 2026 figure stands as the lowest quarterly Total Liabilities since fiscal Q4 2022.
- On a year-over-year basis, Total Liabilities has declined in each of the last five quarters, with an average decline of 3.6% over the last eight quarters.
- The strongest year-over-year quarter for Total Liabilities in the past five years was fiscal Q4 2021, with growth of 42.7%; the weakest was fiscal Q2 2024, with a decline of 14.5%.
- According to Business Quant data, Total Liabilities for the three prior fiscal quarters was $453.75 million (Q2 2026), $446.55 million (Q1 2026) and $468.4 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Linde | 232.08 Bn | 213.65 Bn | 4.43 Bn | 47.73 Bn |
| 2 | Corning | 113.97 Bn | 106.54 Bn | 1.63 Bn | 19.83 Bn |
| 3 | Sherwin Williams | 81.98 Bn | 81.03 Bn | 3.34 Bn | 23.10 Bn |
| 4 | Air Products & Chemicals | 67.40 Bn | 62.58 Bn | 1.04 Bn | 23.85 Bn |
| 5 | LyondellBasell Industries | 41.35 Bn | 30.86 Bn | 2.04 Bn | 23.80 Bn |
| 6 | Nutrien | 33.62 Bn | 30.45 Bn | 3.25 Bn | 27.62 Bn |
| 7 | Ati | 24.94 Bn | 22.97 Bn | 309.80 Mn | 3.74 Bn |
| 8 | Qnity Electronics | 24.80 Bn | 21.94 Bn | 666.00 Mn | 6.79 Bn |
| 9 | Ppg Industries | 24.22 Bn | 16.88 Bn | 1.81 Bn | 13.94 Bn |
| 10 | Bioceres Crop Solutions | 15.91 Mn | -447.67 Mn | 12.70 Mn | 407.20 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 407.20 Mn |
| Mar 31, 2026 | 439.70 Mn |
| Dec 31, 2025 | 453.75 Mn |
| Sep 30, 2025 | 446.55 Mn |
| Jun 30, 2025 | 468.43 Mn |
| Mar 31, 2025 | 453.24 Mn |
| Dec 31, 2024 | 488.87 Mn |
| Sep 30, 2024 | 481.23 Mn |
| Jun 30, 2024 | 501.17 Mn |
| Mar 31, 2024 | 487.60 Mn |
| Dec 31, 2023 | 484.26 Mn |
| Sep 30, 2023 | 487.07 Mn |
| Jun 30, 2023 | 487.56 Mn |
| Mar 31, 2023 | 512.53 Mn |
| Dec 31, 2022 | 566.23 Mn |
| Sep 30, 2022 | 470.46 Mn |
| Jun 30, 2022 | 359.92 Mn |
| Mar 31, 2022 | 386.52 Mn |
| Dec 31, 2021 | 358.23 Mn |
| Sep 30, 2021 | 354.46 Mn |
Bioceres Crop Solutions Total Liabilities 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=total-liabilities&ticker=BIOX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=BIOX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();