Greystone Logistics (GLGI) Other Accumulated Expenses (2012 - 2013)
Greystone Logistics (GLGI) posted Other Accumulated Expenses of $1.55 million for fiscal Q4 2013 (quarter ended May 31, 2013), up 20.6% from $1.29 million a year earlier and up 4.6% from the prior quarter.
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Analysis
Greystone Logistics (GLGI) Other Accumulated Expenses (2012 - 2013) Analysis & Trends
Since fiscal Q4 2012, Greystone Logistics has reported Other Accumulated Expenses for 5 quarters.
- In prior fiscal years, Greystone Logistics' Other Accumulated Expenses was $1.29 million in FY2012.
- According to Business Quant data, Other Accumulated Expenses for the three prior fiscal quarters was $1.48 million (Q3 2013), $1.42 million (Q2 2013) and $1.35 million (Q1 2013).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Caterpillar | 274.19 Bn | 245.49 Bn | 7.35 Bn |
| 2 | Amphenol | 198.54 Bn | 193.24 Bn | 4.02 Bn |
| 3 | Deere | 186.04 Bn | 154.13 Bn | 4.66 Bn |
| 4 | Eaton | 139.66 Bn | 136.59 Bn | 3.11 Bn |
| 5 | Parker-Hannifin | 120.67 Bn | 118.56 Bn | 2.26 Bn |
| 6 | 3M | 97.83 Bn | 79.27 Bn | 2.78 Bn |
| 7 | Emerson Electric | 94.87 Bn | 87.61 Bn | 2.66 Bn |
| 8 | Illinois Tool Works | 81.52 Bn | 78.19 Bn | 1.91 Bn |
| 9 | Vertiv Holdings | 76.99 Bn | 65.83 Bn | 1.64 Bn |
| 10 | Greystone Logistics | 3.68 Mn | 1.68 Mn | -778,804.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| May 31, 2013 | 1.55 Mn |
| Feb 28, 2013 | 1.48 Mn |
| Nov 30, 2012 | 1.42 Mn |
| Aug 31, 2012 | 1.35 Mn |
| May 31, 2012 | 1.29 Mn |
API Access
Greystone Logistics Other 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=other-accumulated-expenses&ticker=GLGI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-accumulated-expenses", "ticker": "GLGI", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=other-accumulated-expenses&ticker=GLGI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();