Bioceres Crop Solutions (BIOX) Return on Sales [ROS] (2017 - 2026)
Bioceres Crop Solutions' Return on Sales [ROS] came in at 64.21% for fiscal Q4 2026 (quarter ended Jun 30, 2026), up 91.20 percentage points from -26.99% a year earlier and up 84.63 percentage points from the prior quarter.
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Analysis
Bioceres Crop Solutions (BIOX) Return on Sales [ROS] (2017 - 2026) Analysis & Trends
For FY2026 (ended Jun 30, 2026), Bioceres Crop Solutions' Return on Sales [ROS] was 69.47%, up 70.25 percentage points from FY2025.
- Return on Sales [ROS] carries a five-year change of +50.90 percentage points (FY2021 to FY2026).
- Going back by fiscal year, Return on Sales [ROS] was -0.78% in FY2025 (-10.64 pp), 9.86% in FY2024 (-3.05 pp), 12.92% in FY2023 (+0.78 pp) and 12.14% in FY2022 (-6.43 pp).
- The fiscal Q4 2026 figure represents the highest quarterly Return on Sales [ROS] in data going back to fiscal Q2 2018.
- Year-over-year, Return on Sales [ROS] increased in three of the last eight quarters, with an average year-over-year change of +2.82 percentage points.
- The fastest year-over-year change in Return on Sales [ROS] over five years came in fiscal Q4 2026 (a gain of 91.20 percentage points), and the weakest in fiscal Q4 2025 (a drop of 35.44 percentage points).
- Business Quant data shows BIOX's Return on Sales [ROS] at -20.42% (Q3 2026), 10.21% (Q2 2026) and 9.31% (Q1 2026) in the three fiscal quarters before Q4 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Linde | 239.54 Bn | 223.24 Bn | 4.44 Bn | 22.86% |
| 2 | Corning | 96.61 Bn | 88.91 Bn | 1.81 Bn | 18.76% |
| 3 | Sherwin Williams | 85.84 Bn | 84.86 Bn | 3.28 Bn | 17.61% |
| 4 | Air Products & Chemicals | 69.53 Bn | 72.40 Bn | - | - |
| 5 | LyondellBasell Industries | 39.13 Bn | 27.31 Bn | 1.50 Bn | 12.55% |
| 6 | Nutrien | 34.78 Bn | 31.35 Bn | 1.86 Bn | 28.07% |
| 7 | Ppg Industries | 27.48 Bn | 20.55 Bn | 1.76 Bn | 14.89% |
| 8 | Qnity Electronics | 25.83 Bn | 22.27 Bn | 743.00 Mn | 28.15% |
| 9 | Ati | 24.82 Bn | 22.90 Bn | 380.20 Mn | 19.10% |
| 10 | Bioceres Crop Solutions | 13.40 Mn | -426.88 Mn | 12.70 Mn | -53.23% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -53.23% |
| Mar 31, 2026 | -20.42% |
| Dec 31, 2025 | 10.21% |
| Sep 30, 2025 | 9.31% |
| Jun 30, 2025 | -16.12% |
| Mar 31, 2025 | 1.57% |
| Dec 31, 2024 | 14.53% |
| Sep 30, 2024 | 2.56% |
| Jun 30, 2024 | 21.02% |
| Mar 31, 2024 | 15.71% |
| Dec 31, 2023 | 12.00% |
| Sep 30, 2023 | 4.56% |
| Jun 30, 2023 | 4.86% |
| Mar 31, 2023 | 32.12% |
| Dec 31, 2022 | 2.35% |
| Sep 30, 2022 | 13.40% |
| Mar 31, 2022 | 3.09% |
| Dec 31, 2021 | 19.10% |
| Sep 30, 2021 | 15.13% |
| Mar 31, 2021 | 13.43% |
API Access
Bioceres Crop Solutions Return on Sales [ROS] 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=return-on-sales-%5Bros%5D&ticker=BIOX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "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=return-on-sales-%5Bros%5D&ticker=BIOX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();