Greystone Logistics (GLGI) Dividends Paid - Common and Preferred (2012 - 2025)
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Analysis
Greystone Logistics (GLGI) Dividends Paid - Common and Preferred (2012 - 2025) Analysis & Trends
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Div Paid (Total) (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 274.19 Bn | 245.49 Bn | 7.35 Bn | 749.00 Mn |
| 2 | Amphenol | 198.54 Bn | 193.24 Bn | 4.02 Bn | 308.00 Mn |
| 3 | Deere | 186.04 Bn | 154.13 Bn | 4.66 Bn | 438.00 Mn |
| 4 | Eaton | 139.66 Bn | 136.59 Bn | 3.11 Bn | 427.00 Mn |
| 5 | Parker-Hannifin | 120.67 Bn | 118.56 Bn | 2.26 Bn | 252.00 Mn |
| 6 | 3M | 97.83 Bn | 79.27 Bn | 2.78 Bn | 403.00 Mn |
| 7 | Emerson Electric | 94.87 Bn | 87.61 Bn | 2.66 Bn | 311.00 Mn |
| 8 | Illinois Tool Works | 81.52 Bn | 78.19 Bn | 1.91 Bn | 458.00 Mn |
| 9 | Vertiv Holdings | 76.99 Bn | 65.83 Bn | 1.64 Bn | 24.00 Mn |
| 10 | Greystone Logistics | 3.68 Mn | 1.68 Mn | -778,804.00 | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Aug 31, 2025 | 1,610.00 |
| May 31, 2025 | 48,165.00 |
| Feb 28, 2025 | 137,294.00 |
| Nov 30, 2024 | 145,069.00 |
| Aug 31, 2024 | 96,575.00 |
| May 31, 2024 | 294,555.00 |
| Feb 29, 2024 | 146,473.00 |
| Nov 30, 2023 | 146,198.00 |
| Aug 31, 2023 | 134,414.00 |
| May 31, 2023 | 132,500.00 |
| Feb 28, 2023 | 119,349.00 |
| Nov 30, 2022 | 109,418.00 |
| Aug 31, 2022 | 85,377.00 |
| May 31, 2022 | 80,137.00 |
| May 31, 2021 | 159,383.00 |
| Feb 28, 2021 | 81,918.00 |
| Nov 30, 2020 | 81,918.00 |
| Aug 31, 2020 | 84,110.00 |
| May 31, 2020 | 99,726.00 |
| Feb 29, 2020 | 102,637.00 |
API Access
Greystone Logistics Dividends Paid - Common and Preferred 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=dividends-paid-common-and-prefferd&ticker=GLGI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "dividends-paid-common-and-prefferd", "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=dividends-paid-common-and-prefferd&ticker=GLGI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();