Adecoagro (AGRO) Operating Leases (2019 - 2026)
Adecoagro's Operating Leases came in at $260.67 million for the quarter ended Jun 30, 2026, down 17.6% from $316.24 million a year earlier and down 10.1% from the prior quarter.
Adecoagro (AGRO) Operating Leases (2019 - 2026) Analysis & Trends
As of Dec 31, 2025, Adecoagro's Operating Leases was $296.64 million, up 3.1% from the prior year.
- Operating Leases carries a five-year compound annual growth rate of 13.2% (years ended Dec 2020 to Dec 2025).
- Going back by year, Operating Leases was $287.68 million in the year ended Dec 31, 2024 (-11.6%), $325.57 million in the year ended Dec 31, 2023 (+14.8%), $283.55 million in the year ended Dec 31, 2022 (+40.6%) and $201.72 million in the year ended Dec 31, 2021 (+26.5%).
- The figure for the quarter ended Jun 30, 2026 represents the lowest quarterly Operating Leases since the quarter ended Sep 30, 2022.
- Year-over-year, Operating Leases increased in four of the last eight quarters, with an average decline of 4.0%.
- The fastest year-over-year change in Operating Leases over five years came in the quarter ended Mar 31, 2022 (growth of 80.9%), and the weakest in the quarter ended Mar 31, 2025 (a decline of 21.4%).
- Business Quant data shows AGRO's Operating Leases at $289.82 million (quarter ended Mar 31, 2026), $296.64 million (quarter ended Dec 31, 2025) and $317.87 million (quarter ended Sep 30, 2025) in the three quarters before the quarter ended Jun 30, 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Archer-Daniels-Midland | 39.05 Bn | 35.05 Bn | 1.94 Bn |
| 2 | Bunge Global | 19.96 Bn | 16.07 Bn | 1.68 Bn |
| 3 | Tyson Foods | 19.47 Bn | 15.73 Bn | 921.00 Mn |
| 4 | Jbs | 13.59 Bn | -19.68 Bn | 2.59 Bn |
| 5 | Darling Ingredients | 9.39 Bn | 8.94 Bn | 503.37 Mn |
| 6 | Smithfield Foods | 7.35 Bn | 2.30 Bn | 478.00 Mn |
| 7 | Pilgrims Pride | 6.72 Bn | 4.54 Bn | 339.75 Mn |
| 8 | Ingredion | 6.12 Bn | 2.30 Bn | 426.00 Mn |
| 9 | Seaboard | 3.66 Bn | -1.18 Bn | 221.00 Mn |
| 10 | Adecoagro | 971.42 Mn | -427.11 Mn | 167.30 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 260.67 Mn |
| Mar 31, 2026 | 289.82 Mn |
| Dec 31, 2025 | 296.64 Mn |
| Sep 30, 2025 | 317.87 Mn |
| Jun 30, 2025 | 316.24 Mn |
| Mar 31, 2025 | 279.13 Mn |
| Dec 31, 2024 | 287.68 Mn |
| Sep 30, 2024 | 301.47 Mn |
| Jun 30, 2024 | 289.82 Mn |
| Mar 31, 2024 | 355.14 Mn |
| Dec 31, 2023 | 325.57 Mn |
| Sep 30, 2023 | 310.73 Mn |
| Jun 30, 2023 | 304.53 Mn |
| Mar 31, 2023 | 291.84 Mn |
| Dec 31, 2022 | 283.55 Mn |
| Sep 30, 2022 | 260.02 Mn |
| Jun 30, 2022 | 270.67 Mn |
| Mar 31, 2022 | 306.34 Mn |
| Dec 31, 2021 | 201.72 Mn |
| Sep 30, 2021 | 194.64 Mn |
Adecoagro 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=AGRO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-leases", "ticker": "AGRO", "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=AGRO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();