Agentix (AGTX) Accumulated Expenses (2015 - 2026)
Agentix (AGTX) posted Accumulated Expenses of $165,511 for fiscal Q1 2027 (quarter ended Jun 30, 2026), up 96.2% from $84,366 a year earlier and up 15.0% from the prior quarter.
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Analysis
Agentix (AGTX) Accumulated Expenses (2015 - 2026) Analysis & Trends
At the end of FY2026 (ended Mar 31, 2026), Agentix's Accumulated Expenses came in at $143,889, up 139.0% from FY2025.
- Annual Accumulated Expenses has increased for three consecutive fiscal years, with a five-year compound annual growth rate of 328.2% (FY2021 to FY2026).
- In prior fiscal years, Agentix's Accumulated Expenses was $60,197 in FY2025 (+152.8%), $23,815 in FY2024 (+161.4%), $9,110 in FY2023 and $100.00 in FY2022.
- The fiscal Q1 2027 figure stands as the highest quarterly Accumulated Expenses in data going back to fiscal Q1 2023.
- On a year-over-year basis, Accumulated Expenses has increased in each of the last ten quarters, with growth averaging 163.1% over the last eight quarters.
- The year-over-year growth in Accumulated Expenses has ranged between 96.2% (fiscal Q1 2027) and 316.9% (fiscal Q2 2025) over the last five years.
- According to Business Quant data, Accumulated Expenses for the three prior fiscal quarters was $143,889 (Q4 2026), $123,510 (Q3 2026) and $109,703 (Q2 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Johnson & Johnson | 638.12 Bn | 556.64 Bn | 17.26 Bn |
| 2 | AbbVie | 462.60 Bn | 435.75 Bn | 12.70 Bn |
| 3 | Merck | 358.70 Bn | 313.13 Bn | 12.21 Bn |
| 4 | Novartis Ag | 272.16 Bn | 228.03 Bn | 11.24 Bn |
| 5 | Astrazeneca | 250.36 Bn | 223.92 Bn | 12.86 Bn |
| 6 | Amgen | 227.87 Bn | 183.27 Bn | 7.24 Bn |
| 7 | Gilead Sciences | 184.97 Bn | 159.08 Bn | 6.22 Bn |
| 8 | Pfizer | 162.61 Bn | 109.56 Bn | 10.94 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 |
|---|---|
| Jun 30, 2026 | 165,511.00 |
| Mar 31, 2026 | 143,889.00 |
| Dec 31, 2025 | 123,510.00 |
| Sep 30, 2025 | 109,703.00 |
| Jun 30, 2025 | 84,366.00 |
| Mar 31, 2025 | 60,197.00 |
| Dec 31, 2024 | 48,495.00 |
| Sep 30, 2024 | 38,168.00 |
| Jun 30, 2024 | 35,252.00 |
| Mar 31, 2024 | 23,815.00 |
| Dec 31, 2023 | 22,221.00 |
| Sep 30, 2023 | 9,156.00 |
| Jun 30, 2023 | 13,992.00 |
| Mar 31, 2023 | 9,110.00 |
| Dec 31, 2022 | 100.00 |
| Sep 30, 2022 | 100.00 |
| Jun 30, 2022 | 100.00 |
| Feb 28, 2022 | 100.00 |
| Nov 30, 2021 | 100.00 |
| Aug 31, 2021 | 100.00 |
API Access
Agentix Accumulated Expenses 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=accumulated-expenses&ticker=AGTX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "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=accumulated-expenses&ticker=AGTX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();