Forafric Global (AFRI) Accumulated Expenses (2021 - 2025)
Forafric Global (AFRI) recorded Accumulated Expenses of $23.73 million in the quarter ended Dec 31, 2025, up 5.0% from $22.59 million a year earlier.
Forafric Global (AFRI) Accumulated Expenses (2021 - 2025) Analysis & Trends
Starting with the quarter ended Dec 31, 2021, Forafric Global's Accumulated Expenses history includes 9 quarters.
- Annual Accumulated Expenses has a four-year compound annual growth rate of 16.1% (years ended Dec 2021 to Dec 2025).
- Across earlier years, Accumulated Expenses came in at $22.59 million in the year ended Dec 31, 2024 (+28.4%), $17.6 million in the year ended Dec 31, 2023 (-7.2%), $18.97 million in the year ended Dec 31, 2022 (+45.3%) and $13.06 million in the year ended Dec 31, 2021.
- Quarterly Accumulated Expenses has ranged from $13.06 million in the quarter ended Dec 31, 2021 to $26.74 million in the quarter ended Jun 30, 2022 over the past five years.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Unilever | 132.43 Bn | 107.80 Bn | - |
| 2 | Mondelez International | 73.80 Bn | 67.12 Bn | 3.99 Bn |
| 3 | Hershey | 31.86 Bn | 28.11 Bn | 1.26 Bn |
| 4 | Kraft Heinz | 26.96 Bn | 13.49 Bn | 2.03 Bn |
| 5 | General Mills | 17.20 Bn | 14.85 Bn | 1.49 Bn |
| 6 | J M Smucker | 12.70 Bn | 12.49 Bn | 979.60 Mn |
| 7 | Mccormick | 12.49 Bn | 12.36 Bn | 778.20 Mn |
| 8 | Hormel Foods | 10.97 Bn | 7.66 Bn | 471.52 Mn |
| 9 | Chewy | 7.31 Bn | 4.59 Bn | 1.01 Bn |
| 10 | Forafric Global | 295.29 Mn | 258.24 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 23.73 Mn |
| Jun 30, 2025 | 26.67 Mn |
| Dec 31, 2024 | 22.59 Mn |
| Jun 30, 2024 | 18.82 Mn |
| Dec 31, 2023 | 17.60 Mn |
| Jun 30, 2023 | 17.88 Mn |
| Dec 31, 2022 | 18.97 Mn |
| Jun 30, 2022 | 26.74 Mn |
| Dec 31, 2021 | 13.06 Mn |
Forafric Global 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=AFRI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "ticker": "AFRI", "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=AFRI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();