Cresud (CRESY) Operating Leases (2009 - 2025)
Cresud's Operating Leases came in at $8.21 billion for the quarter ended Dec 31, 2025, up 19.9% from $6.85 billion a year earlier and up 9.8% from the prior quarter.
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Analysis
Cresud (CRESY) Operating Leases (2009 - 2025) Analysis & Trends
As of Jun 30, 2025, Cresud's Operating Leases was $88.11 billion, up 3.2% from the prior year.
- Operating Leases has increased in each of the last five years, with a five-year compound annual growth rate of 76.7% (years ended Jun 2020 to Jun 2025).
- Going back by year, Operating Leases was $85.38 billion in the year ended Jun 30, 2024 (+28.9%), $66.26 billion in the year ended Jun 30, 2023 (+335.4%), $15.22 billion in the year ended Jun 30, 2022 (+103.2%) and $7.49 billion in the year ended Jun 30, 2021 (+46.4%).
- The five-year range for quarterly Operating Leases is $4.85 billion (the quarter ended Dec 31, 2021) to $88.11 billion (the quarter ended Jun 30, 2025).
- Year-over-year, Operating Leases has increased for three consecutive quarters, with an average decline of 20.0% over the last seven quarters.
- The fastest year-over-year change in Operating Leases over five years came in the quarter ended Jun 30, 2021 (growth of 858.5%), and the weakest in the quarter ended Dec 31, 2024 (a decline of 88.0%).
- Business Quant data shows CRESY's Operating Leases at $7.48 billion (quarter ended Sep 30, 2025), $88.11 billion (quarter ended Jun 30, 2025) and $6.74 billion (quarter ended Mar 31, 2025) in the three quarters before the quarter ended Dec 31, 2025.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Archer-Daniels-Midland | 38.74 Bn | 35.03 Bn | 1.94 Bn |
| 2 | Bunge Global | 20.95 Bn | 18.46 Bn | 1.68 Bn |
| 3 | Tyson Foods | 17.92 Bn | 14.28 Bn | 921.00 Mn |
| 4 | Jbs | 12.87 Bn | -20.24 Bn | 2.59 Bn |
| 5 | Darling Ingredients | 9.56 Bn | 9.16 Bn | 503.37 Mn |
| 6 | Smithfield Foods | 7.54 Bn | 2.49 Bn | 478.00 Mn |
| 7 | Pilgrims Pride | 6.69 Bn | 4.52 Bn | 339.75 Mn |
| 8 | Ingredion | 6.08 Bn | 2.26 Bn | 426.00 Mn |
| 9 | Seaboard | 3.94 Bn | -881.67 Mn | 221.00 Mn |
| 10 | Cresud | 732.59 Mn | -28.36 Bn | 119.29 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 8.21 Bn |
| Sep 30, 2025 | 7.48 Bn |
| Jun 30, 2025 | 88.11 Bn |
| Mar 31, 2025 | 6.74 Bn |
| Dec 31, 2024 | 6.85 Bn |
| Sep 30, 2024 | 6.77 Bn |
| Jun 30, 2024 | 85.38 Bn |
| Mar 31, 2024 | 11.51 Bn |
| Dec 31, 2023 | 57.25 Bn |
| Sep 30, 2023 | 24.76 Bn |
| Jun 30, 2023 | 66.26 Bn |
| Dec 31, 2022 | 11.97 Bn |
| Jun 30, 2022 | 15.22 Bn |
| Dec 31, 2021 | 4.85 Bn |
| Jun 30, 2021 | 7.49 Bn |
| Sep 30, 2020 | 38.00 Mn |
| Jun 30, 2020 | 781.36 Mn |
| Jun 30, 2019 | 82.85 Mn |
| Jun 30, 2018 | 6.93 Mn |
| Jun 30, 2012 | 274.44 Mn |
API Access
Cresud Operating Leases 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=operating-leases&ticker=CRESY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-leases", "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=operating-leases&ticker=CRESY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();