Adecoagro (AGRO) Inventory (2009 - 2026)
Adecoagro (AGRO) recorded Inventory of $426.4 million in the quarter ended Jun 30, 2026, up 19.8% from $355.86 million a year earlier and up 12.4% from the prior quarter.
Adecoagro (AGRO) Inventory (2009 - 2026) Analysis & Trends
As of Dec 31, 2025, Adecoagro reported Inventory of $306.27 million, up 5.7% from the prior year.
- Annual Inventory has a five-year compound annual growth rate of 18.1% (years ended Dec 2020 to Dec 2025).
- Across earlier years, Inventory came in at $289.66 million in the year ended Dec 31, 2024 (+781.3%), $32.87 million in the year ended Dec 31, 2023 (-88.0%), $274.02 million in the year ended Dec 31, 2022 (+14.4%) and $239.52 million in the year ended Dec 31, 2021 (+79.5%).
- The figure for the quarter ended Jun 30, 2026 is the highest quarterly Inventory since the quarter ended Jun 30, 2024.
- On a year-over-year basis, Inventory has increased for three consecutive quarters, with growth averaging 90.7% over the last eight quarters.
- Peak year-over-year performance for Inventory in the last five years was growth of 781.3% in the quarter ended Dec 31, 2024, against a decline of 88.0% in the quarter ended Dec 31, 2023 at the low end.
- Per Business Quant, the preceding three quarters came in at $379.23 million (quarter ended Mar 31, 2026), $306.27 million (quarter ended Dec 31, 2025) and $98.76 million (quarter ended Sep 30, 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Inventory (Qtr) |
|---|---|---|---|---|---|
| 1 | Archer-Daniels-Midland | 38.74 Bn | 35.03 Bn | 1.94 Bn | 10.59 Bn |
| 2 | Bunge Global | 20.95 Bn | 18.46 Bn | 1.68 Bn | 15.46 Bn |
| 3 | Tyson Foods | 17.92 Bn | 14.28 Bn | 921.00 Mn | 5.84 Bn |
| 4 | Jbs | 12.87 Bn | -20.24 Bn | 2.59 Bn | 7.00 Bn |
| 5 | Darling Ingredients | 9.56 Bn | 9.16 Bn | 503.37 Mn | 605.36 Mn |
| 6 | Smithfield Foods | 7.54 Bn | 2.49 Bn | 478.00 Mn | 2.38 Bn |
| 7 | Pilgrims Pride | 6.69 Bn | 4.52 Bn | 339.75 Mn | 2.03 Bn |
| 8 | Ingredion | 6.08 Bn | 2.26 Bn | 426.00 Mn | 1.11 Bn |
| 9 | Seaboard | 3.94 Bn | -881.67 Mn | 221.00 Mn | 1.81 Bn |
| 10 | Adecoagro | 1.03 Bn | -47.27 Mn | 167.30 Mn | 426.40 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 426.40 Mn |
| Mar 31, 2026 | 379.23 Mn |
| Dec 31, 2025 | 306.27 Mn |
| Sep 30, 2025 | 98.76 Mn |
| Jun 30, 2025 | 355.86 Mn |
| Mar 31, 2025 | 318.53 Mn |
| Dec 31, 2024 | 289.66 Mn |
| Sep 30, 2024 | 400.63 Mn |
| Jun 30, 2024 | 455.39 Mn |
| Mar 31, 2024 | 353.98 Mn |
| Dec 31, 2023 | 32.87 Mn |
| Sep 30, 2023 | 375.38 Mn |
| Jun 30, 2023 | 368.44 Mn |
| Mar 31, 2023 | 291.38 Mn |
| Dec 31, 2022 | 274.02 Mn |
| Sep 30, 2022 | 372.84 Mn |
| Jun 30, 2022 | 393.02 Mn |
| Mar 31, 2022 | 282.58 Mn |
| Dec 31, 2021 | 239.52 Mn |
| Sep 30, 2021 | 330.26 Mn |
Adecoagro Inventory 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=inventory&ticker=AGRO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "inventory", "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=inventory&ticker=AGRO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();