Cresud (CRESY) Total Liabilities (2009 - 2025)
Cresud (CRESY) reported Total Liabilities of $3.31 trillion for the quarter ended Sep 30, 2025, up 62.5% from $2.04 trillion a year earlier and up 8.8% from the prior quarter.
Cresud (CRESY) Total Liabilities (2009 - 2025) Analysis & Trends
As of Jun 30, 2025, Cresud posted Total Liabilities of $3.05 trillion, up 14.4% from the prior year.
- Total Liabilities has increased for four consecutive years.
- By year, Total Liabilities came in at $2.66 trillion in the year ended Jun 30, 2024 (+22.3%), $2.18 trillion in the year ended Jun 30, 2023 (+213.4%), $695.11 billion in the year ended Jun 30, 2022 (+81.7%) and $382.54 billion in the year ended Jun 30, 2021.
- The figure for the quarter ended Sep 30, 2025 ranks as the highest quarterly Total Liabilities in data going back to the quarter ended Mar 31, 2009.
- Year over year, Total Liabilities has now increased in each of the last five quarters, with growth averaging 122.3% over the last seven quarters.
- Across the past five years, year-over-year growth in Total Liabilities ran from 14.4% in the quarter ended Jun 30, 2025 to 272.4% in the quarter ended Dec 31, 2023.
- Per Business Quant data, the three quarters before the quarter ended Sep 30, 2025 came in at $3.05 trillion (quarter ended Jun 30, 2025), $2.72 trillion (quarter ended Mar 31, 2025) and $2.3 trillion (quarter ended Dec 31, 2024).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Archer-Daniels-Midland | 38.74 Bn | 35.03 Bn | 1.94 Bn | 29.95 Bn |
| 2 | Bunge Global | 20.95 Bn | 18.46 Bn | 1.68 Bn | 29.44 Bn |
| 3 | Tyson Foods | 17.92 Bn | 14.28 Bn | 921.00 Mn | 17.43 Bn |
| 4 | Jbs | 12.87 Bn | -20.24 Bn | 2.59 Bn | 37.61 Bn |
| 5 | Darling Ingredients | 9.56 Bn | 9.16 Bn | 503.37 Mn | 5.68 Bn |
| 6 | Smithfield Foods | 7.54 Bn | 2.49 Bn | 478.00 Mn | 5.01 Bn |
| 7 | Pilgrims Pride | 6.69 Bn | 4.52 Bn | 339.75 Mn | 6.27 Bn |
| 8 | Ingredion | 6.08 Bn | 2.26 Bn | 426.00 Mn | 3.55 Bn |
| 9 | Seaboard | 3.94 Bn | -881.67 Mn | 221.00 Mn | 3.17 Bn |
| 10 | Cresud | 732.59 Mn | -28.36 Bn | 119.29 Bn | - |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2025 | 3,313.71 Bn |
| Jun 30, 2025 | 3,046.62 Bn |
| Mar 31, 2025 | 2,719.67 Bn |
| Dec 31, 2024 | 2,295.45 Bn |
| Sep 30, 2024 | 2,039.48 Bn |
| Jun 30, 2024 | 2,663.98 Bn |
| Mar 31, 2024 | 1,651.44 Bn |
| Dec 31, 2023 | 1,551.25 Bn |
| Sep 30, 2023 | 835.39 Bn |
| Jun 30, 2023 | -701.45 Bn |
| Mar 31, 2023 | 472.04 Bn |
| Dec 31, 2022 | 416.51 Bn |
| Jun 30, 2022 | 695.11 Bn |
| Dec 31, 2021 | 257.11 Bn |
| Jun 30, 2021 | 382.54 Bn |
| Dec 31, 2020 | 181.88 Bn |
| Sep 30, 2020 | 174.21 Bn |
| Jun 30, 2020 | -183.47 Bn |
| Jun 30, 2019 | 21.93 Bn |
| Mar 31, 2019 | 419.09 Bn |
Cresud Total Liabilities 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=total-liabilities&ticker=CRESY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=CRESY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();