Greystone Logistics (GLGI) Net Long-Term Debt Issued (Repaid) (2010 - 2026)
Analysis
Greystone Logistics (GLGI) Net Long-Term Debt Issued (Repaid) (2010 - 2026) Analysis & Trends
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Net LT Debt (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 274.19 Bn | 245.49 Bn | 7.35 Bn | 395.00 Mn |
| 2 | Amphenol | 198.54 Bn | 193.24 Bn | 4.02 Bn | -937.90 Mn |
| 3 | Deere | 186.04 Bn | 154.13 Bn | 4.66 Bn | -481.00 Mn |
| 4 | Eaton | 139.66 Bn | 136.59 Bn | 3.11 Bn | -2.00 Mn |
| 5 | Parker-Hannifin | 120.67 Bn | 118.56 Bn | 2.26 Bn | 7.22 Bn |
| 6 | 3M | 97.83 Bn | 79.27 Bn | 2.78 Bn | 2.53 Bn |
| 7 | Emerson Electric | 94.87 Bn | 87.61 Bn | 2.66 Bn | -1.42 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 | -15.30 Mn |
| 10 | Greystone Logistics | 3.68 Mn | 1.68 Mn | -778,804.00 | -12,565.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Aug 31, 2026 | -12,565.00 |
| May 31, 2026 | -12,577.00 |
| Feb 28, 2026 | -201,278.00 |
| Nov 30, 2025 | -561,336.00 |
| Aug 31, 2025 | -547,535.00 |
| May 31, 2025 | -573,443.00 |
| Feb 28, 2025 | -622,770.00 |
| Nov 30, 2024 | -605,796.00 |
| Aug 31, 2024 | -581,777.00 |
| May 31, 2024 | -588,056.00 |
| Feb 29, 2024 | -564,683.00 |
| Nov 30, 2023 | -555,274.00 |
| Aug 31, 2023 | -548,166.00 |
| May 31, 2023 | 3.91 Mn |
| Feb 28, 2023 | -596,193.00 |
| Nov 30, 2022 | -1.12 Mn |
| Aug 31, 2022 | 1.66 Mn |
| May 31, 2022 | -956,615.00 |
| Feb 28, 2022 | -1.32 Mn |
| Nov 30, 2021 | -1.35 Mn |
API Access
Greystone Logistics Net Long-Term Debt Issued (Repaid) 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=non-current-debt&ticker=GLGI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-debt", "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=non-current-debt&ticker=GLGI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();