Dole (DOLE) Inventory (2020 - 2026)
Dole (DOLE) recorded Inventory of $423.98 million in the quarter ended Jun 30, 2026, up 2.0% from $415.77 million a year earlier but down 13.6% from the prior quarter.
Dole (DOLE) Inventory (2020 - 2026) Analysis & Trends
As of Dec 31, 2025, Dole reported Inventory of $509.26 million, up 18.4% from the prior year.
- Annual Inventory has a five-year compound annual growth rate of 29.3% (years ended Dec 2020 to Dec 2025).
- Across earlier years, Inventory came in at $430.17 million in the year ended Dec 31, 2024 (+13.6%), $378.59 million in the year ended Dec 31, 2023 (-3.9%), $394.15 million in the year ended Dec 31, 2022 (-4.0%) and $410.74 million in the year ended Dec 31, 2021 (+190.9%).
- Quarterly Inventory has ranged from $352.05 million in the quarter ended Jun 30, 2023 to $509.26 million in the quarter ended Dec 31, 2025 over the past five years.
- On a year-over-year basis, Inventory has increased for ten consecutive quarters, with growth averaging 11.0% over the last eight quarters.
- Peak year-over-year performance for Inventory in the last five years was growth of 207.6% in the quarter ended Jun 30, 2022, against a decline of 18.9% in the quarter ended Sep 30, 2023 at the low end.
- Per Business Quant, the preceding three quarters came in at $490.83 million (quarter ended Mar 31, 2026), $509.26 million (quarter ended Dec 31, 2025) and $448.86 million (quarter ended Sep 30, 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Inventory (Qtr) |
|---|---|---|---|---|---|
| 1 | Archer-Daniels-Midland | 38.27 Bn | 34.56 Bn | 1.94 Bn | 10.59 Bn |
| 2 | Bunge Global | 20.55 Bn | 18.06 Bn | 1.68 Bn | 15.46 Bn |
| 3 | Tyson Foods | 17.78 Bn | 14.14 Bn | 921.00 Mn | 5.84 Bn |
| 4 | Jbs | 12.53 Bn | -20.58 Bn | 2.59 Bn | 7.00 Bn |
| 5 | Darling Ingredients | 9.59 Bn | 9.18 Bn | 503.37 Mn | 605.36 Mn |
| 6 | Smithfield Foods | 7.37 Bn | 2.32 Bn | 478.00 Mn | 2.38 Bn |
| 7 | Pilgrims Pride | 6.43 Bn | 4.26 Bn | 339.75 Mn | 2.03 Bn |
| 8 | Ingredion | 6.05 Bn | 2.22 Bn | 426.00 Mn | 1.11 Bn |
| 9 | Seaboard | 3.78 Bn | -1.04 Bn | 221.00 Mn | 1.81 Bn |
| 10 | Dole | 1.20 Bn | 141.35 Mn | 195.30 Mn | 423.98 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 423.98 Mn |
| Mar 31, 2026 | 490.83 Mn |
| Dec 31, 2025 | 509.26 Mn |
| Sep 30, 2025 | 448.86 Mn |
| Jun 30, 2025 | 415.77 Mn |
| Mar 31, 2025 | 432.99 Mn |
| Dec 31, 2024 | 430.17 Mn |
| Sep 30, 2024 | 377.99 Mn |
| Jun 30, 2024 | 368.31 Mn |
| Mar 31, 2024 | 409.48 Mn |
| Dec 31, 2023 | 378.59 Mn |
| Sep 30, 2023 | 366.72 Mn |
| Jun 30, 2023 | 352.05 Mn |
| Mar 31, 2023 | 405.55 Mn |
| Dec 31, 2022 | 394.15 Mn |
| Sep 30, 2022 | 451.93 Mn |
| Jun 30, 2022 | 410.23 Mn |
| Mar 31, 2022 | 457.66 Mn |
| Dec 31, 2021 | 410.74 Mn |
| Sep 30, 2021 | 421.76 Mn |
Dole 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=DOLE&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "inventory", "ticker": "DOLE", "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=DOLE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();