Greystone Logistics (GLGI) Times Interest Earned (2010 - 2023)
Greystone Logistics' (GLGI) Times Interest Earned came in at 4.24 for FY2025 (year ended May 31, 2025), down 23.4% from 5.53 in FY2024.
Powered by 
Analysis
Greystone Logistics (GLGI) Times Interest Earned (2010 - 2023) Analysis & Trends
Since FY2011, Greystone Logistics has reported Times Interest Earned for 7 fiscal years.
- Business Quant data shows GLGI's Times Interest Earned at 5.53 in FY2024 (+55.4%) and 3.56 in FY2023.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Times Interest Earned (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 372.79 Bn | 344.49 Bn | 7.76 Bn | 8.64 |
| 2 | Amphenol | 207.98 Bn | 202.68 Bn | 3.55 Bn | 12.09 |
| 3 | Deere | 181.02 Bn | 189.78 Bn | 4.66 Bn | 2.81 |
| 4 | Eaton | 166.86 Bn | 164.09 Bn | 2.86 Bn | 6.93 |
| 5 | Parker-Hannifin | 120.45 Bn | 118.58 Bn | 2.25 Bn | 14.45 |
| 6 | Vertiv Holdings | 92.94 Bn | 83.56 Bn | 1.23 Bn | 36.66 |
| 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 | 14.52 |
| 10 | Greystone Logistics | 7.09 Mn | 3.10 Mn | -329,147.00 | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Aug 31, 2023 | 8.28 |
| Aug 31, 2022 | 6.19 |
| Aug 31, 2014 | 3.42 |
| May 31, 2014 | 5.26 |
| Feb 28, 2014 | 0.38 |
| May 31, 2013 | 6.72 |
| Feb 28, 2013 | 1.78 |
| Nov 30, 2012 | 1.62 |
| Aug 31, 2012 | 4.63 |
| May 31, 2012 | 6.18 |
| Feb 29, 2012 | 1.79 |
| Nov 30, 2011 | 2.75 |
| Aug 31, 2011 | 2.80 |
| May 31, 2011 | 1.20 |
| Feb 28, 2011 | 0.61 |
| Nov 30, 2010 | -1.12 |
| Aug 31, 2010 | -1.24 |
API Access
Greystone Logistics Times Interest Earned 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=times-interest-earned&ticker=GLGI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "times-interest-earned", "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=times-interest-earned&ticker=GLGI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();