Dole (DOLE) Change in Accured Expenses (2020 - 2026)
Dole (DOLE) reported Change in Accured Expenses of -$7.85 million for the quarter ended Jun 30, 2026, compared with -$19.59 million a year earlier.
Dole (DOLE) Change in Accured Expenses (2020 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Dole's Change in Accured Expenses came in at $28.45 million, down 70.0% year-over-year; for the year ended Dec 31, 2025, it came in at $60.23 million, down 53.9% from the prior year.
- Change in Accured Expenses has a five-year compound annual growth rate of 7.0% (years ended Dec 2020 to Dec 2025).
- By year, Change in Accured Expenses came in at $130.59 million in the year ended Dec 31, 2024 (+902.8%), $13.02 million in the year ended Dec 31, 2023 (+18.7%), $10.98 million in the year ended Dec 31, 2022 and -$8.52 million in the year ended Dec 31, 2021.
- Five-year quarterly Change in Accured Expenses spans a low of -$72.8 million in the quarter ended Dec 31, 2021 and a high of $97.33 million in the quarter ended Dec 31, 2024.
- Year over year, Change in Accured Expenses gained in two of the last four quarters, with growth averaging 11.3%.
- Per Business Quant data, the three quarters before the quarter ended Jun 30, 2026 came in at -$41.73 million (quarter ended Mar 31, 2026), $36 million (quarter ended Dec 31, 2025) and $42.02 million (quarter ended Sep 30, 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accured Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Archer-Daniels-Midland | 38.78 Bn | 35.07 Bn | 1.94 Bn | -88.00 Mn |
| 2 | Bunge Global | 20.50 Bn | 18.00 Bn | 1.68 Bn | -659.00 Mn |
| 3 | Tyson Foods | 18.25 Bn | 14.61 Bn | 921.00 Mn | - |
| 4 | Jbs | 12.94 Bn | -20.17 Bn | 2.59 Bn | - |
| 5 | Darling Ingredients | 9.93 Bn | 9.53 Bn | 503.37 Mn | 87.81 Mn |
| 6 | Smithfield Foods | 7.43 Bn | 2.38 Bn | 478.00 Mn | - |
| 7 | Pilgrims Pride | 6.55 Bn | 4.38 Bn | 339.75 Mn | 29.41 Mn |
| 8 | Ingredion | 6.02 Bn | 2.19 Bn | 426.00 Mn | 66.00 Mn |
| 9 | Seaboard | 3.87 Bn | -946.73 Mn | 221.00 Mn | - |
| 10 | Dole | 1.21 Bn | 144.18 Mn | 195.30 Mn | -7.85 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -7.85 Mn |
| Mar 31, 2026 | -41.73 Mn |
| Dec 31, 2025 | 36.00 Mn |
| Sep 30, 2025 | 42.02 Mn |
| Jun 30, 2025 | -19.59 Mn |
| Mar 31, 2025 | 1.80 Mn |
| Dec 31, 2024 | 97.33 Mn |
| Sep 30, 2024 | 15.25 Mn |
| Jun 30, 2024 | -68.35 Mn |
| Mar 31, 2024 | 86.36 Mn |
| Dec 31, 2023 | 74.46 Mn |
| Sep 30, 2023 | -145,000.00 |
| Jun 30, 2023 | -30.66 Mn |
| Mar 31, 2023 | -30.64 Mn |
| Dec 31, 2022 | 22.91 Mn |
| Sep 30, 2022 | -32,000.00 |
| Jun 30, 2022 | 19.22 Mn |
| Mar 31, 2022 | -31.12 Mn |
| Dec 31, 2021 | -72.80 Mn |
| Sep 30, 2021 | 20.93 Mn |
Dole Change in Accured 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=change-in-accured-expenses&ticker=DOLE&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-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=change-in-accured-expenses&ticker=DOLE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();