Agentix (AGTX) Total Debt (2016 - 2023)
Agentix (AGTX) posted Total Debt of $50,000 for FY2023 (year ended Mar 31, 2023).
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Analysis
Agentix (AGTX) Total Debt (2016 - 2023) Analysis & Trends
Since FY2017, Agentix has reported Total Debt for 4 fiscal years.
- Annual Total Debt shows a five-year compound annual growth rate of 14.9% (FY2018 to FY2023).
- The FY2023 figure stands as the highest annual Total Debt since FY2019.
- Business Quant data shows AGTX's Total Debt at $109,671 in FY2019 (+338.7%).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Debt (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 638.12 Bn | 556.64 Bn | 17.26 Bn | 49.04 Bn |
| 2 | AbbVie | 462.60 Bn | 435.75 Bn | 12.70 Bn | 70.82 Bn |
| 3 | Merck | 358.70 Bn | 313.13 Bn | 12.21 Bn | 53.91 Bn |
| 4 | Novartis Ag | 272.16 Bn | 228.03 Bn | 11.24 Bn | 37.49 Bn |
| 5 | Astrazeneca | 250.36 Bn | 223.92 Bn | 12.86 Bn | -111.00 Mn |
| 6 | Amgen | 227.87 Bn | 183.27 Bn | 7.24 Bn | 57.30 Bn |
| 7 | Gilead Sciences | 184.97 Bn | 159.08 Bn | 6.22 Bn | 26.25 Bn |
| 8 | Pfizer | 162.61 Bn | 109.56 Bn | 10.94 Bn | 63.19 Bn |
| 9 | Vertex Pharmaceuticals | 132.45 Bn | 104.46 Bn | 2.84 Bn | - |
| 10 | Agentix | 801,339.00 | 788,533.00 | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2023 | 50,000.00 |
| Aug 31, 2019 | 109,671.00 |
| May 31, 2019 | 110,000.00 |
| Feb 28, 2019 | 100,000.00 |
| Nov 30, 2018 | 70,000.00 |
| Aug 31, 2018 | 25,000.00 |
| Feb 28, 2018 | 84,075.00 |
| Nov 30, 2017 | 66,747.00 |
| Aug 31, 2017 | 54,419.00 |
| May 31, 2017 | 38,091.00 |
| Feb 28, 2017 | 8,078.00 |
| Nov 30, 2016 | 6,933.00 |
API Access
Agentix Total Debt 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=total-debt&ticker=AGTX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-debt", "ticker": "AGTX", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=total-debt&ticker=AGTX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();