Cresud (CRESY) Exchange Rate Effect (2016 - 2019)
Cresud (CRESY) posted Exchange Rate Effect of $28.46 billion for the year ended Jun 30, 2025, down 44.4% from $51.16 billion a year earlier.
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Analysis
Cresud (CRESY) Exchange Rate Effect (2016 - 2019) Analysis & Trends
Since the year ended Jun 30, 2009, Cresud has reported Exchange Rate Effect for 16 years.
- Annual Exchange Rate Effect shows a five-year compound annual growth rate of 6.0% (years ended Jun 2020 to Jun 2025).
- The figure for the year ended Jun 30, 2025 stands as the lowest annual Exchange Rate Effect since the year ended Jun 30, 2021.
- Business Quant data shows CRESY's Exchange Rate Effect at $51.16 billion in the year ended Jun 30, 2024 (+37.9%), $37.1 billion in the year ended Jun 30, 2023 and -$675 million in the year ended Jun 30, 2021.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | FX Effect (Qtr) |
|---|---|---|---|---|---|
| 1 | Archer-Daniels-Midland | 38.74 Bn | 35.03 Bn | 1.94 Bn | 8.00 Mn |
| 2 | Bunge Global | 20.95 Bn | 18.46 Bn | 1.68 Bn | 1.00 Mn |
| 3 | Tyson Foods | 17.92 Bn | 14.28 Bn | 921.00 Mn | - |
| 4 | Jbs | 12.87 Bn | -20.24 Bn | 2.59 Bn | 9.40 Mn |
| 5 | Darling Ingredients | 9.56 Bn | 9.16 Bn | 503.37 Mn | 10,000.00 |
| 6 | Smithfield Foods | 7.54 Bn | 2.49 Bn | 478.00 Mn | 7.00 Mn |
| 7 | Pilgrims Pride | 6.69 Bn | 4.52 Bn | 339.75 Mn | 615,000.00 |
| 8 | Ingredion | 6.08 Bn | 2.26 Bn | 426.00 Mn | -1.00 Mn |
| 9 | Seaboard | 3.94 Bn | -881.67 Mn | 221.00 Mn | 1.00 Mn |
| 10 | Cresud | 732.59 Mn | -28.36 Bn | 119.29 Bn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2019 | -14.02 Bn |
| Mar 31, 2019 | 2.90 Bn |
| Dec 31, 2018 | -22.73 Bn |
| Sep 30, 2018 | 16.55 Bn |
| Jun 30, 2018 | 44.50 Mn |
| Mar 31, 2018 | -680.00 Mn |
| Dec 31, 2017 | -3.62 Bn |
| Sep 30, 2017 | -109.00 Mn |
| Jun 30, 2017 | -167.03 Mn |
| Mar 31, 2017 | 59.86 Mn |
| Dec 31, 2016 | 34.85 Mn |
API Access
Cresud Exchange Rate Effect 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=exchange-rate-effect&ticker=CRESY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "exchange-rate-effect", "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=exchange-rate-effect&ticker=CRESY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();