Adecoagro (AGRO) Property, Plant & Equipment (Net) (2009 - 2026)
Adecoagro's Property, Plant & Equipment (Net) came in at $3.09 billion for Q2 2026, up 85.7% from $1.66 billion a year earlier but down 0.7% from the prior quarter.
Adecoagro (AGRO) Property, Plant & Equipment (Net) (2009 - 2026) Analysis & Trends
At the end of FY2025, Adecoagro's Property, Plant & Equipment (Net) was $3.01 billion, up 94.4% from FY2024.
- Property, Plant & Equipment (Net) carries a five-year compound annual growth rate of 17.3% (FY2020 to FY2025).
- Going back by year, Property, Plant & Equipment (Net) was $1.55 billion in FY2024 (-0.1%), $1.55 billion in FY2023 (-1.0%), $1.57 billion in FY2022 (+10.0%) and $1.42 billion in FY2021 (+4.7%).
- The five-year range for quarterly Property, Plant & Equipment (Net) is $1.41 billion (Q3 2021) to $3.11 billion (Q1 2026).
- Year-over-year, Property, Plant & Equipment (Net) has increased for five consecutive quarters, with growth averaging 35.0% over the last eight quarters.
- The fastest year-over-year change in Property, Plant & Equipment (Net) over five years came in Q4 2025 (growth of 94.4%), and the weakest in Q2 2024 (a decline of 5.4%).
- Business Quant data shows AGRO's Property, Plant & Equipment (Net) at $3.11 billion (Q1 2026), $3.01 billion (Q4 2025) and $1.68 billion (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | PP&E (Net) (Qtr) |
|---|---|---|---|---|---|
| 1 | Archer-Daniels-Midland | 33.94 Bn | 30.42 Bn | 1.89 Bn | 11.03 Bn |
| 2 | Tyson Foods | 21.10 Bn | 17.35 Bn | 921.00 Mn | 8.79 Bn |
| 3 | Bunge Global | 19.46 Bn | 16.37 Bn | 1.33 Bn | 11.94 Bn |
| 4 | Jbs | 14.01 Bn | -19.25 Bn | 2.59 Bn | 14.42 Bn |
| 5 | Darling Ingredients | 8.33 Bn | 7.88 Bn | 503.37 Mn | 2.83 Bn |
| 6 | Smithfield Foods | 7.67 Bn | 2.22 Bn | 313.00 Mn | 3.23 Bn |
| 7 | Pilgrims Pride | 7.05 Bn | 4.54 Bn | 333.67 Mn | 3.85 Bn |
| 8 | Ingredion | 5.86 Bn | 2.04 Bn | 426.00 Mn | 2.52 Bn |
| 9 | Scotts Miracle-Gro | 3.85 Bn | 3.77 Bn | 365.90 Mn | 635.10 Mn |
| 10 | Adecoagro | 928.03 Mn | -470.50 Mn | 167.30 Mn | 3.09 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 3.09 Bn |
| Mar 31, 2026 | 3.11 Bn |
| Dec 31, 2025 | 3.01 Bn |
| Sep 30, 2025 | 1.68 Bn |
| Jun 30, 2025 | 1.66 Bn |
| Mar 31, 2025 | 1.64 Bn |
| Dec 31, 2024 | 1.55 Bn |
| Sep 30, 2024 | 1.60 Bn |
| Jun 30, 2024 | 1.58 Bn |
| Mar 31, 2024 | 1.64 Bn |
| Dec 31, 2023 | 1.55 Bn |
| Sep 30, 2023 | 1.60 Bn |
| Jun 30, 2023 | 1.67 Bn |
| Mar 31, 2023 | 1.64 Bn |
| Dec 31, 2022 | 1.57 Bn |
| Sep 30, 2022 | 1.55 Bn |
| Jun 30, 2022 | 1.55 Bn |
| Mar 31, 2022 | 1.58 Bn |
| Dec 31, 2021 | 1.42 Bn |
| Sep 30, 2021 | 1.41 Bn |
Adecoagro Property, Plant & Equipment (Net) 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=property-plant-and-equipment-net&ticker=AGRO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "property-plant-and-equipment-net", "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=property-plant-and-equipment-net&ticker=AGRO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();