Dole (DOLE) Accumulated Expenses (2020 - 2026)
Dole's Accumulated Expenses came in at $477.71 million for the quarter ended Mar 31, 2026, up 11.0% from $430.39 million a year earlier but down 7.8% from the prior quarter.
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Analysis
Dole (DOLE) Accumulated Expenses (2020 - 2026) Analysis & Trends
As of Dec 31, 2025, Dole's Accumulated Expenses was $517.99 million, up 16.9% from the prior year.
- Accumulated Expenses carries a five-year compound annual growth rate of 33.2% (years ended Dec 2020 to Dec 2025).
- Going back by year, Accumulated Expenses was $443.15 million in the year ended Dec 31, 2024 (+24.0%), $357.43 million in the year ended Dec 31, 2023 (-6.4%), $381.69 million in the year ended Dec 31, 2022 (-17.9%) and $464.93 million in the year ended Dec 31, 2021 (+276.6%).
- The five-year range for quarterly Accumulated Expenses is $108,139 (the quarter ended Jun 30, 2021) to $517.99 million (the quarter ended Dec 31, 2025).
- Year-over-year, Accumulated Expenses has increased for nine consecutive quarters, with growth averaging 14.0% over the last eight quarters.
- The fastest year-over-year change in Accumulated Expenses over five years came in the quarter ended Dec 31, 2021 (growth of 276.6%), and the weakest in the quarter ended Sep 30, 2023 (a decline of 19.9%).
- Business Quant data shows DOLE's Accumulated Expenses at $517.99 million (quarter ended Dec 31, 2025), $489.3 million (quarter ended Sep 30, 2025) and $429.84 million (quarter ended Jun 30, 2025) in the three quarters before the quarter ended Mar 31, 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Archer-Daniels-Midland | 38.27 Bn | 34.56 Bn | 1.94 Bn |
| 2 | Bunge Global | 20.55 Bn | 18.06 Bn | 1.68 Bn |
| 3 | Tyson Foods | 17.78 Bn | 14.14 Bn | 921.00 Mn |
| 4 | Jbs | 12.53 Bn | -20.58 Bn | 2.59 Bn |
| 5 | Darling Ingredients | 9.59 Bn | 9.18 Bn | 503.37 Mn |
| 6 | Smithfield Foods | 7.37 Bn | 2.32 Bn | 478.00 Mn |
| 7 | Pilgrims Pride | 6.43 Bn | 4.26 Bn | 339.75 Mn |
| 8 | Ingredion | 6.05 Bn | 2.22 Bn | 426.00 Mn |
| 9 | Seaboard | 3.78 Bn | -1.04 Bn | 221.00 Mn |
| 10 | Dole | 1.20 Bn | 141.35 Mn | 195.30 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 477.71 Mn |
| Dec 31, 2025 | 517.99 Mn |
| Sep 30, 2025 | 489.30 Mn |
| Jun 30, 2025 | 429.84 Mn |
| Mar 31, 2025 | 430.39 Mn |
| Dec 31, 2024 | 443.15 Mn |
| Sep 30, 2024 | 388.16 Mn |
| Jun 30, 2024 | 360.27 Mn |
| Mar 31, 2024 | 417.77 Mn |
| Dec 31, 2023 | 357.43 Mn |
| Sep 30, 2023 | 380.20 Mn |
| Jun 30, 2023 | 329.61 Mn |
| Mar 31, 2023 | 387.38 Mn |
| Dec 31, 2022 | 381.69 Mn |
| Sep 30, 2022 | 474.87 Mn |
| Jun 30, 2022 | 390.26 Mn |
| Mar 31, 2022 | 429.30 Mn |
| Dec 31, 2021 | 464.93 Mn |
| Sep 30, 2021 | 431.34 Mn |
| Jun 30, 2021 | 108,139.00 |
API Access
Dole Accumulated Expenses 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=accumulated-expenses&ticker=DOLE&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "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=accumulated-expenses&ticker=DOLE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();