Greif (GEF) Land & Improvements (2009 - 2026)
Greif (GEF) posted Land & Improvements of $105.4 million for fiscal Q2 2016 (quarter ended Apr 30, 2016), down 9.4% from $116.3 million a year earlier but up 4.2% from the prior quarter.
Greif (GEF) Land & Improvements (2009 - 2026) Analysis & Trends
At the end of FY2015 (ended Oct 31, 2015), Greif's Land & Improvements came in at $106.3 million, down 17.8% from FY2014.
- Annual Land & Improvements shows a four-year compound annual growth rate of -3.6% (FY2011 to FY2015).
- In prior fiscal years, Greif's Land & Improvements was $129.3 million in FY2014 (-8.6%), $141.5 million in FY2013 (+1.6%), $139.3 million in FY2012 (+13.2%) and $123.1 million in FY2011.
- Quarterly Land & Improvements has run from a low of $101.2 million in fiscal Q1 2016 to a high of $144.5 million in fiscal Q1 2014 over five years.
- On a year-over-year basis, Land & Improvements has declined in each of the last eight quarters, with an average decline of 13.1% over the last eight quarters.
- The strongest year-over-year quarter for Land & Improvements in the past five years was fiscal Q4 2012, with growth of 13.2%; the weakest was fiscal Q2 2015, with a decline of 19.3%.
- According to Business Quant data, Land & Improvements for the three prior fiscal quarters was $101.2 million (Q1 2016), $106.3 million (Q4 2015) and $116.7 million (Q3 2015).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Land & Improvements (Qtr) |
|---|---|---|---|---|---|
| 1 | Smurfit Westrock | 23.27 Bn | 20.32 Bn | 1.44 Bn | - |
| 2 | Packaging Corp Of America | 22.65 Bn | 20.22 Bn | 603.90 Mn | - |
| 3 | International Paper | 22.01 Bn | 18.09 Bn | 1.93 Bn | - |
| 4 | Amcor | 20.90 Bn | 16.32 Bn | 1.16 Bn | - |
| 5 | Ball | 17.38 Bn | 14.50 Bn | 709.00 Mn | - |
| 6 | Crown Holdings | 13.31 Bn | 11.21 Bn | 724.00 Mn | - |
| 7 | Sonoco Products | 4.93 Bn | 3.99 Bn | 405.32 Mn | - |
| 8 | Silgan Holdings | 4.42 Bn | 2.23 Bn | 328.59 Mn | - |
| 9 | Greif | 3.37 Bn | 3.37 Bn | 254.60 Mn | - |
| 10 | Graphic Packaging Holding | 3.30 Bn | 2.31 Bn | 307.00 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 121.00 Mn |
| Mar 31, 2026 | 122.60 Mn |
| Dec 31, 2025 | 124.40 Mn |
| Sep 30, 2025 | 124.70 Mn |
| Apr 30, 2025 | 156.60 Mn |
| Jan 31, 2025 | 155.50 Mn |
| Oct 31, 2024 | 141.30 Mn |
| Jul 31, 2024 | 157.80 Mn |
| Apr 30, 2024 | 157.60 Mn |
| Jan 31, 2024 | 154.90 Mn |
| Oct 31, 2023 | 153.70 Mn |
| Jul 31, 2023 | 157.40 Mn |
| Apr 30, 2023 | 158.20 Mn |
| Jan 31, 2023 | 158.00 Mn |
| Oct 31, 2022 | 154.80 Mn |
| Jul 31, 2022 | 155.80 Mn |
| Apr 30, 2022 | 157.30 Mn |
| Jan 31, 2022 | 159.90 Mn |
| Oct 31, 2021 | 161.90 Mn |
| Jul 31, 2021 | 163.10 Mn |
Greif Land & Improvements 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=land-and-improvements&ticker=GEF&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "land-and-improvements", "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=land-and-improvements&ticker=GEF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();