Agentix (AGTX) Total Liabilities (2014 - 2026)
Agentix (AGTX) recorded Total Liabilities of $3.71 million in fiscal Q1 2027 (quarter ended Jun 30, 2026), up 13.4% from $3.28 million a year earlier and up 3.3% from the prior quarter.
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Analysis
Agentix (AGTX) Total Liabilities (2014 - 2026) Analysis & Trends
At the end of FY2026 (ended Mar 31, 2026), Agentix reported Total Liabilities of $3.6 million, up 12.2% from FY2025.
- Annual Total Liabilities has increased for four straight fiscal years, with a five-year compound annual growth rate of 42.7% (FY2021 to FY2026).
- Across earlier fiscal years, Total Liabilities came in at $3.2 million in FY2025 (+20.2%), $2.67 million in FY2024 (+6.2%), $2.51 million in FY2023 (+129.7%) and $1.09 million in FY2022.
- The fiscal Q1 2027 figure is the highest quarterly Total Liabilities in data going back to fiscal Q1 2023.
- On a year-over-year basis, Total Liabilities has increased for seven consecutive quarters, with growth averaging 10.8% over the last eight quarters.
- Peak year-over-year performance for Total Liabilities in the last five years was growth of 138.1% in fiscal Q1 2024, against a decline of 4.5% in fiscal Q2 2025 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $3.6 million (Q4 2026), $3.5 million (Q3 2026) and $3.42 million (Q2 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,138.33 Bn | 1,106.91 Bn | 19.71 Bn | 108.40 Bn |
| 2 | Johnson & Johnson | 618.82 Bn | 537.35 Bn | 17.26 Bn | 116.09 Bn |
| 3 | AbbVie | 503.36 Bn | 476.47 Bn | 12.70 Bn | 141.05 Bn |
| 4 | Merck | 369.59 Bn | 323.96 Bn | 12.21 Bn | 87.82 Bn |
| 5 | Novartis Ag | 298.57 Bn | 262.56 Bn | 11.24 Bn | 80.09 Bn |
| 6 | Astrazeneca | 261.25 Bn | 234.94 Bn | 12.86 Bn | 65.46 Bn |
| 7 | Amgen | 237.35 Bn | 192.75 Bn | 7.24 Bn | 83.95 Bn |
| 8 | Gilead Sciences | 191.27 Bn | 165.47 Bn | 6.22 Bn | 37.53 Bn |
| 9 | Pfizer | 170.03 Bn | 116.68 Bn | 10.94 Bn | 115.64 Bn |
| 10 | Agentix | 801,339.00 | 788,533.00 | - | 3.71 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 3.71 Mn |
| Mar 31, 2026 | 3.60 Mn |
| Dec 31, 2025 | 3.50 Mn |
| Sep 30, 2025 | 3.42 Mn |
| Jun 30, 2025 | 3.28 Mn |
| Mar 31, 2025 | 3.20 Mn |
| Dec 31, 2024 | 3.07 Mn |
| Sep 30, 2024 | 3.01 Mn |
| Jun 30, 2024 | 2.89 Mn |
| Mar 31, 2024 | 2.67 Mn |
| Dec 31, 2023 | 2.96 Mn |
| Sep 30, 2023 | 3.15 Mn |
| Jun 30, 2023 | 2.98 Mn |
| Mar 31, 2023 | 2.51 Mn |
| Dec 31, 2022 | 1.97 Mn |
| Sep 30, 2022 | 1.62 Mn |
| Jun 30, 2022 | 1.25 Mn |
| Feb 28, 2022 | 1.04 Mn |
| Nov 30, 2021 | 773,161.00 |
| Aug 31, 2021 | 606,942.00 |
API Access
Agentix Total Liabilities 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-liabilities&ticker=AGTX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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-liabilities&ticker=AGTX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();