Bioceres Crop Solutions (BIOX) Total Current Liabilities (2017 - 2026)
Bioceres Crop Solutions (BIOX) recorded Total Current Liabilities of $267 million in fiscal Q4 2026 (quarter ended Jun 30, 2026), down 21.0% from $338 million a year earlier and down 13.5% from the prior quarter.
Bioceres Crop Solutions (BIOX) Total Current Liabilities (2017 - 2026) Analysis & Trends
Starting with fiscal Q4 2017, Bioceres Crop Solutions' Total Current Liabilities history includes 31 quarters.
- Annual Total Current Liabilities has a five-year compound annual growth rate of 5.7% (FY2021 to FY2026).
- Across earlier fiscal years, Total Current Liabilities came in at $338 million in FY2025 (+2.6%), $329.31 million in FY2024 (+10.2%), $298.71 million in FY2023 (+34.2%) and $222.67 million in FY2022.
- The fiscal Q4 2026 figure is the lowest quarterly Total Current Liabilities since fiscal Q1 2023.
- On a year-over-year basis, Total Current Liabilities rose in three of the last eight quarters, with an average decline of 3.1%.
- Peak year-over-year performance for Total Current Liabilities in the last five years was growth of 62.4% in fiscal Q2 2022, against a decline of 21.0% in fiscal Q4 2026 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $308.8 million (Q3 2026), $328.64 million (Q2 2026) and $299.72 million (Q1 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Linde | 231.45 Bn | 213.03 Bn | 4.43 Bn | 16.13 Bn |
| 2 | Corning | 116.59 Bn | 109.15 Bn | 1.63 Bn | 6.02 Bn |
| 3 | Sherwin Williams | 82.19 Bn | 81.23 Bn | 3.34 Bn | 9.63 Bn |
| 4 | Air Products & Chemicals | 67.40 Bn | 62.58 Bn | 1.04 Bn | 4.58 Bn |
| 5 | LyondellBasell Industries | 40.93 Bn | 30.44 Bn | 2.04 Bn | 7.11 Bn |
| 6 | Nutrien | 33.12 Bn | 29.95 Bn | 3.25 Bn | - |
| 7 | Qnity Electronics | 25.20 Bn | 22.33 Bn | 666.00 Mn | 1.44 Bn |
| 8 | Ppg Industries | 24.54 Bn | 17.20 Bn | 1.81 Bn | 5.23 Bn |
| 9 | Ati | 24.54 Bn | 22.56 Bn | 309.80 Mn | 1.41 Bn |
| 10 | Bioceres Crop Solutions | 15.21 Mn | -448.37 Mn | 12.70 Mn | 267.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 267.00 Mn |
| Mar 31, 2026 | 308.80 Mn |
| Dec 31, 2025 | 328.64 Mn |
| Sep 30, 2025 | 299.72 Mn |
| Jun 30, 2025 | 337.99 Mn |
| Mar 31, 2025 | 332.31 Mn |
| Dec 31, 2024 | 288.78 Mn |
| Sep 30, 2024 | 295.86 Mn |
| Jun 30, 2024 | 329.31 Mn |
| Mar 31, 2024 | 332.97 Mn |
| Dec 31, 2023 | 316.81 Mn |
| Sep 30, 2023 | 311.70 Mn |
| Jun 30, 2023 | 298.71 Mn |
| Mar 31, 2023 | 302.82 Mn |
| Dec 31, 2022 | 330.59 Mn |
| Sep 30, 2022 | 243.32 Mn |
| Jun 30, 2022 | 222.67 Mn |
| Mar 31, 2022 | 255.15 Mn |
| Dec 31, 2021 | 180.15 Mn |
| Sep 30, 2021 | 202.38 Mn |
Bioceres Crop Solutions Total Current 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-current-liabilities&ticker=BIOX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-current-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-current-liabilities&ticker=BIOX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();