GridAI Technologies (GRDX) Long-Term Debt Issuances (2015 - 2025)
GridAI Technologies' Long-Term Debt Issuances came in at $2.3 million for FY2025.
Powered by 
Analysis
GridAI Technologies (GRDX) Long-Term Debt Issuances (2015 - 2025) Analysis & Trends
Going back to FY2015, GridAI Technologies' Long-Term Debt Issuances data covers 7 years.
- Long-Term Debt Issuances carries a five-year compound annual growth rate of -6.5% (FY2020 to FY2025).
- The FY2025 figure represents the highest annual Long-Term Debt Issuances since FY2020.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | LT Debt Issuance (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,175.39 Bn | 1,143.98 Bn | 19.71 Bn | 8.94 Bn |
| 2 | Johnson & Johnson | 639.10 Bn | 557.63 Bn | 17.26 Bn | - |
| 3 | AbbVie | 502.70 Bn | 475.81 Bn | 12.70 Bn | - |
| 4 | Merck | 376.68 Bn | 331.05 Bn | 12.21 Bn | - |
| 5 | Novartis Ag | 304.33 Bn | 268.32 Bn | 11.24 Bn | 1.98 Bn |
| 6 | Astrazeneca | 267.75 Bn | 241.43 Bn | 12.86 Bn | - |
| 7 | Amgen | 242.34 Bn | 197.73 Bn | 7.24 Bn | - |
| 8 | Gilead Sciences | 193.67 Bn | 167.87 Bn | 6.22 Bn | - |
| 9 | Pfizer | 172.62 Bn | 119.27 Bn | 10.94 Bn | - |
| 10 | GridAI Technologies | 32.48 Mn | 27.68 Mn | -36,514.00 | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2025 | 700,000.00 |
| Dec 31, 2020 | 620,364.00 |
| Sep 30, 2020 | -10.00 |
| Jun 30, 2020 | 179,418.00 |
| Mar 31, 2020 | 3.23 Mn |
| Dec 31, 2019 | 3.47 Mn |
| Mar 31, 2019 | 2.00 Mn |
| Dec 31, 2018 | 286,203.00 |
| Dec 31, 2017 | 296,338.00 |
| Jun 30, 2017 | 1.00 Mn |
| Dec 31, 2016 | 232,000.00 |
| Jun 30, 2016 | 1.87 Mn |
| Mar 31, 2016 | 225,000.00 |
| Dec 31, 2015 | 50,000.00 |
API Access
GridAI Technologies Long-Term Debt Issuances 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=long-term-debt-issuances&ticker=GRDX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-debt-issuances", "ticker": "GRDX", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=long-term-debt-issuances&ticker=GRDX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();