Greystone Logistics (GLGI) Net Equity Issued and Repurchased (2015 - 2022)
Greystone Logistics (GLGI) recorded Net Equity Issued and Repurchased of $1.67 million in FY2023 (year ended May 31, 2023), compared with -$281,500 in FY2022.
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Analysis
Greystone Logistics (GLGI) Net Equity Issued and Repurchased (2015 - 2022) Analysis & Trends
Starting with FY2014, Greystone Logistics' Net Equity Issued and Repurchased history includes 6 fiscal years.
- The FY2023 figure is the highest annual Net Equity Issued and Repurchased in data going back to FY2014.
- Per Business Quant data, GLGI's Net Equity Issued and Repurchased was -$281,500 in FY2022.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Net Equity Issued (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 372.79 Bn | 344.49 Bn | 7.76 Bn | -24.00 Mn |
| 2 | Amphenol | 207.98 Bn | 202.68 Bn | 3.55 Bn | 104.70 Mn |
| 3 | Deere | 181.02 Bn | 189.78 Bn | 4.66 Bn | - |
| 4 | Eaton | 166.86 Bn | 164.09 Bn | 2.86 Bn | 25.00 Mn |
| 5 | Parker-Hannifin | 120.45 Bn | 118.58 Bn | 2.25 Bn | - |
| 6 | Vertiv Holdings | 92.94 Bn | 83.56 Bn | 1.23 Bn | 20.60 Mn |
| 7 | Emerson Electric | 86.56 Bn | 79.32 Bn | 2.66 Bn | - |
| 8 | 3M | 84.72 Bn | 66.18 Bn | 2.68 Bn | - |
| 9 | Illinois Tool Works | 73.32 Bn | 69.88 Bn | 1.90 Bn | - |
| 10 | Greystone Logistics | 7.09 Mn | 3.10 Mn | -329,147.00 | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Aug 31, 2022 | 1.67 Mn |
| May 31, 2022 | -305,500.00 |
| Aug 31, 2021 | 24,000.00 |
| Aug 31, 2016 | 57,000.00 |
| Feb 28, 2015 | 30,000.00 |
API Access
Greystone Logistics Net Equity Issued and Repurchased 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=net-equity-issued-and-repurchased&ticker=GLGI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "net-equity-issued-and-repurchased", "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=net-equity-issued-and-repurchased&ticker=GLGI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();