Greif, Inc (GEF) Accumulated Expenses (2009 - 2025)
Greif's Accumulated Expenses was $11.7 million in fiscal Q2 2025 (quarter ended Apr 30, 2025), up 88.7% from $6.2 million a year earlier and up 138.8% from the prior quarter.
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Analysis
Greif, Inc (GEF) Accumulated Expenses (2009 - 2025) Analysis & Trends
At the end of FY2024 (ended Oct 31, 2024), Accumulated Expenses at Greif came in at $4.9 million, down 70.8% from FY2023.
- Accumulated Expenses shows a five-year compound annual growth rate of -15.4% (FY2019 to FY2024).
- In earlier fiscal years, Accumulated Expenses was $16.8 million in FY2023 (+36.6%), $12.3 million in FY2022 (-39.4%), $20.3 million in FY2021 (-6.0%) and $21.6 million in FY2020 (+91.2%).
- The fiscal Q2 2025 figure marks the highest quarterly Accumulated Expenses since fiscal Q1 2024.
- Compared with a year earlier, Accumulated Expenses was higher in four of the last eight quarters, with an average decline of 9.1%.
- The best year-over-year quarter for Accumulated Expenses over five years was fiscal Q2 2021 (growth of 217.6%); the worst was fiscal Q1 2025 (a decline of 71.3%).
- Per Business Quant data, GEF's Accumulated Expenses in the three fiscal quarters before Q2 2025 was $4.9 million (Q1 2025), $4.9 million (Q4 2024) and $5.5 million (Q3 2024).
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Historic Data
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Historic Data
| Date | Value |
|---|---|
| Apr 30, 2025 | 11.70 Mn |
| Jan 31, 2025 | 4.90 Mn |
| Oct 31, 2024 | 4.90 Mn |
| Jul 31, 2024 | 5.50 Mn |
| Apr 30, 2024 | 6.20 Mn |
| Jan 31, 2024 | 17.10 Mn |
| Oct 31, 2023 | 16.80 Mn |
| Jul 31, 2023 | 16.30 Mn |
| Apr 30, 2023 | 12.20 Mn |
| Jan 31, 2023 | 13.00 Mn |
| Oct 31, 2022 | 12.30 Mn |
| Jul 31, 2022 | 12.70 Mn |
| Apr 30, 2022 | 14.10 Mn |
| Jan 31, 2022 | 17.00 Mn |
| Oct 31, 2021 | 20.30 Mn |
| Jul 31, 2021 | 20.50 Mn |
| Apr 30, 2021 | 21.60 Mn |
| Jan 31, 2021 | 19.40 Mn |
| Oct 31, 2020 | 21.60 Mn |
| Jul 31, 2020 | 20.00 Mn |
API Access
Greif, Inc 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=GEF&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "ticker": "GEF", "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=GEF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();