Cresud (CRESY) Return on Sales [ROS] (2009 - 2025)
Cresud's Return on Sales [ROS] was 49.55% in the quarter ended Dec 31, 2025, down 5.98 percentage points from 55.53% a year earlier but up 4.96 percentage points from the prior quarter.
Cresud (CRESY) Return on Sales [ROS] (2009 - 2025) Analysis & Trends
On a trailing twelve-month basis, Cresud's Return on Sales [ROS] was 22.90% through Dec 31, 2025, up 63.76 percentage points year-over-year; for the year ended Jun 30, 2025, it was 52.40%, up 66.60 percentage points from the prior year.
- Return on Sales [ROS] shows a five-year change of -78.85 percentage points (years ended Jun 2020 to Jun 2025).
- In earlier years, Return on Sales [ROS] was -14.20% in the year ended Jun 30, 2024 (-6.52 pp), -7.68% in the year ended Jun 30, 2023 (-52.78 pp), 45.10% in the year ended Jun 30, 2022 (+21.70 pp) and 23.40% in the year ended Jun 30, 2021 (-107.86 pp).
- Quarterly Return on Sales [ROS] has moved between -389.06% (the quarter ended Mar 31, 2024) and 172.43% (the quarter ended Sep 30, 2023) over five years.
- Compared with a year earlier, Return on Sales [ROS] was higher in three of the last six quarters, with an average year-over-year change of -80.65 percentage points.
- The best year-over-year quarter for Return on Sales [ROS] over five years was the quarter ended Mar 31, 2023 (a gain of 199.55 percentage points); the worst was the quarter ended Mar 31, 2024 (a drop of 398.11 percentage points).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Archer-Daniels-Midland | 38.33 Bn | 34.62 Bn | 1.94 Bn | 3.95% |
| 2 | Bunge Global | 20.48 Bn | 17.99 Bn | 1.68 Bn | 4.47% |
| 3 | Tyson Foods | 17.76 Bn | 14.11 Bn | 921.00 Mn | 2.61% |
| 4 | Jbs | 12.04 Bn | -21.06 Bn | 2.59 Bn | 2.50% |
| 5 | Darling Ingredients | 9.73 Bn | 9.33 Bn | 503.37 Mn | 32.20% |
| 6 | Smithfield Foods | 7.32 Bn | 2.27 Bn | 478.00 Mn | 7.84% |
| 7 | Pilgrims Pride | 6.00 Bn | 3.83 Bn | 339.75 Mn | 1.43% |
| 8 | Ingredion | 5.99 Bn | 2.16 Bn | 426.00 Mn | 10.16% |
| 9 | Seaboard | 3.79 Bn | -1.03 Bn | 221.00 Mn | 3.42% |
| 10 | Cresud | 697.59 Mn | -28.39 Bn | 119.29 Bn | 49.55% |
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 49.55% |
| Sep 30, 2025 | 44.59% |
| Dec 31, 2024 | 55.53% |
| Sep 30, 2024 | -64.01% |
| Jun 30, 2024 | 19.07% |
| Mar 31, 2024 | -389.06% |
| Dec 31, 2023 | 27.57% |
| Sep 30, 2023 | 172.43% |
| Jun 30, 2023 | -1.01% |
| Mar 31, 2023 | 9.05% |
| Dec 31, 2022 | -49.79% |
| Sep 30, 2022 | -2.27% |
| Jun 30, 2022 | 49.99% |
| Mar 31, 2022 | -190.50% |
| Sep 30, 2021 | -16.07% |
| Dec 31, 2020 | -1.01% |
| Sep 30, 2020 | 304.63% |
| Jun 30, 2020 | 88,271,520.46% |
| Mar 31, 2020 | 102.66% |
| Dec 31, 2019 | 37.36% |
Cresud 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=CRESY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "CRESY", "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=CRESY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();