Agentix (AGTX) Operating Expenses (2013 - 2026)
Agentix (AGTX) recorded Operating Expenses of $95,504 in fiscal Q1 2027 (quarter ended Jun 30, 2026), down 52.3% from $200,342 a year earlier but up 75.9% from the prior quarter.
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Analysis
Agentix (AGTX) Operating Expenses (2013 - 2026) Analysis & Trends
On a TTM basis, Agentix's Operating Expenses came in at $340,349 as of Jun 30, 2026, down 39.5% year-over-year; for FY2026 (ended Mar 31, 2026), it came in at $445,187, down 13.3% from FY2025.
- Annual Operating Expenses has declined for four straight fiscal years, with a five-year compound annual growth rate of -19.8% (FY2021 to FY2026).
- Across earlier fiscal years, Operating Expenses came in at $513,251 in FY2025 (-31.1%), $744,810 in FY2024 (-45.7%), $1.37 million in FY2023 (-47.8%) and $2.63 million in FY2022.
- Quarterly Operating Expenses has ranged from -$25,326 in fiscal Q4 2024 to $429,134 in fiscal Q4 2023 over the past five years.
- On a year-over-year basis, Operating Expenses has declined for three consecutive quarters, with growth averaging 50.1% over the last seven quarters.
- Peak year-over-year performance for Operating Expenses in the last five years was growth of 511.0% in fiscal Q3 2025, against a decline of 95.5% in fiscal Q3 2024 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $54,285 (Q4 2026), $67,463 (Q3 2026) and $123,097 (Q2 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,136.97 Bn | 1,105.55 Bn | 19.71 Bn | 7.95 Bn |
| 2 | Johnson & Johnson | 619.72 Bn | 538.25 Bn | 17.26 Bn | 10.12 Bn |
| 3 | AbbVie | 503.40 Bn | 476.52 Bn | 12.70 Bn | 10.56 Bn |
| 4 | Merck | 370.15 Bn | 324.53 Bn | 12.21 Bn | 12.80 Bn |
| 5 | Novartis Ag | 298.64 Bn | 262.63 Bn | 11.24 Bn | 6.09 Bn |
| 6 | Astrazeneca | 261.07 Bn | 234.76 Bn | 12.86 Bn | 9.70 Bn |
| 7 | Amgen | 237.00 Bn | 192.40 Bn | 7.24 Bn | 6.54 Bn |
| 8 | Gilead Sciences | 191.24 Bn | 165.43 Bn | 6.22 Bn | 18.20 Bn |
| 9 | Pfizer | 170.31 Bn | 116.96 Bn | 10.94 Bn | 6.68 Bn |
| 10 | Agentix | 1.60 Mn | 1.59 Mn | - | 95,504.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 95,504.00 |
| Mar 31, 2026 | 54,285.00 |
| Dec 31, 2025 | 67,463.00 |
| Sep 30, 2025 | 123,097.00 |
| Jun 30, 2025 | 200,342.00 |
| Mar 31, 2025 | 172,121.00 |
| Dec 31, 2024 | 96,815.00 |
| Sep 30, 2024 | 93,010.00 |
| Jun 30, 2024 | 151,305.00 |
| Mar 31, 2024 | -25,326.00 |
| Dec 31, 2023 | 15,846.00 |
| Sep 30, 2023 | 353,155.00 |
| Jun 30, 2023 | 401,135.00 |
| Mar 31, 2023 | 429,134.00 |
| Dec 31, 2022 | 353,638.00 |
| Sep 30, 2022 | 424,330.00 |
| Jun 30, 2022 | 164,654.00 |
| Feb 28, 2022 | 2.02 Mn |
| Nov 30, 2021 | 166,750.00 |
| Aug 31, 2021 | 244,105.00 |
API Access
Agentix Operating 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=operating-expenses&ticker=AGTX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-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=operating-expenses&ticker=AGTX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();