Cresud (CRESY) Price to Earnings (2009 - 2025)
Cresud's (CRESY) Price to Earnings came in at 0.07 for the quarter ended Dec 31, 2025, compared with 0.00 a year earlier.
Powered by 
Analysis
Cresud (CRESY) Price to Earnings (2009 - 2025) Analysis & Trends
For the year ended Jun 30, 2025, Cresud's Price to Earnings stood at 0.01, up 256.7% from the prior year.
- In prior years, Cresud's Price to Earnings was 0.00 in the year ended Jun 30, 2024, 0.01 in the year ended Jun 30, 2022 (-13.4%) and 0.01 in the year ended Jun 30, 2021 (-99.9%).
- The figure for the quarter ended Dec 31, 2025 stands as the highest quarterly Price to Earnings since the quarter ended Jun 30, 2023.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Archer-Daniels-Midland | 38.33 Bn | 34.62 Bn | 1.94 Bn |
| 2 | Bunge Global | 20.48 Bn | 17.99 Bn | 1.68 Bn |
| 3 | Tyson Foods | 17.76 Bn | 14.11 Bn | 921.00 Mn |
| 4 | Jbs | 12.04 Bn | -21.06 Bn | 2.59 Bn |
| 5 | Darling Ingredients | 9.73 Bn | 9.33 Bn | 503.37 Mn |
| 6 | Smithfield Foods | 7.32 Bn | 2.27 Bn | 478.00 Mn |
| 7 | Pilgrims Pride | 6.00 Bn | 3.83 Bn | 339.75 Mn |
| 8 | Ingredion | 5.99 Bn | 2.16 Bn | 426.00 Mn |
| 9 | Seaboard | 3.79 Bn | -1.03 Bn | 221.00 Mn |
| 10 | Cresud | 697.59 Mn | -28.39 Bn | 119.29 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 0.07 |
| Sep 30, 2025 | 0.00 |
| Dec 31, 2024 | 0.00 |
| Sep 30, 2024 | 0.00 |
| Jun 30, 2024 | 0.00 |
| Mar 31, 2024 | 0.01 |
| Jun 30, 2023 | 0.28 |
| Mar 31, 2023 | 0.01 |
| Dec 31, 2022 | 0.01 |
| Sep 30, 2022 | 0.01 |
| Jun 30, 2022 | 0.01 |
| Jun 30, 2020 | 1.26 |
| Mar 31, 2020 | 0.00 |
| Dec 31, 2019 | 0.01 |
| Sep 30, 2019 | 0.01 |
| Jun 30, 2019 | 0.02 |
| Jun 30, 2018 | 4.76 |
| Sep 30, 2017 | 4.13 |
| Jun 30, 2017 | 1.71 |
| Mar 31, 2017 | 1.68 |
API Access
Cresud Price to Earnings 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=price-to-earnings&ticker=CRESY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-earnings", "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=price-to-earnings&ticker=CRESY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();