Amesite (AMST) Operating Expenses (2019 - 2026)
Amesite's Operating Expenses came in at $1.13 million for fiscal Q4 2026 (quarter ended Jun 30, 2026), up 23.8% from $913,437 a year earlier and up 47.3% from the prior quarter.
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Analysis
Amesite (AMST) Operating Expenses (2019 - 2026) Analysis & Trends
For FY2026 (ended Jun 30, 2026), Amesite's Operating Expenses was $3.51 million, down 5.6% from FY2025.
- Operating Expenses has declined in each of the last four fiscal years, with a five-year compound annual growth rate of -16.5% (FY2021 to FY2026).
- Going back by fiscal year, Operating Expenses was $3.71 million in FY2025 (-21.8%), $4.75 million in FY2024 (-6.4%), $5.07 million in FY2023 (-48.0%) and $9.75 million in FY2022 (+12.8%).
- The fiscal Q4 2026 figure represents the highest quarterly Operating Expenses since fiscal Q2 2025.
- Year-over-year, Operating Expenses increased in three of the last eight quarters, with an average decline of 10.6%.
- The fastest year-over-year change in Operating Expenses over five years came in fiscal Q1 2022 (growth of 59.2%), and the weakest in fiscal Q2 2023 (a decline of 62.3%).
- Business Quant data shows AMST's Operating Expenses at $767,404 (Q3 2026), $853,303 (Q2 2026) and $756,420 (Q1 2026) in the three fiscal quarters before Q4 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - | 178,646.00 |
| 2 | Veeva Systems | 45.35 Bn | 17.59 Bn | 695.95 Mn | 420.93 Mn |
| 3 | Samsara | 22.20 Bn | 18.97 Bn | 392.58 Mn | 387.71 Mn |
| 4 | Toast | 17.53 Bn | 10.20 Bn | 516.00 Mn | 364.00 Mn |
| 5 | Ptc | 15.47 Bn | 14.28 Bn | 490.47 Mn | 323.96 Mn |
| 6 | Trimble | 13.41 Bn | 12.48 Bn | 674.90 Mn | 542.90 Mn |
| 7 | Duolingo | 12.56 Bn | 7.73 Bn | 216.74 Mn | 182.80 Mn |
| 8 | Manhattan Associates | 11.77 Bn | 10.77 Bn | 168.33 Mn | 231.56 Mn |
| 9 | Costar | 10.95 Bn | 4.91 Bn | 728.00 Mn | 652.00 Mn |
| 10 | Amesite | 4.99 Mn | 4.99 Mn | - | 1.13 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.13 Mn |
| Mar 31, 2026 | 767,404.00 |
| Dec 31, 2025 | 853,303.00 |
| Sep 30, 2025 | 756,420.00 |
| Jun 30, 2025 | 913,437.00 |
| Mar 31, 2025 | 718,412.00 |
| Dec 31, 2024 | 1.14 Mn |
| Sep 30, 2024 | 938,594.00 |
| Jun 30, 2024 | 1.24 Mn |
| Mar 31, 2024 | 1.50 Mn |
| Dec 31, 2023 | 997,527.00 |
| Sep 30, 2023 | 1.01 Mn |
| Jun 30, 2023 | 1.11 Mn |
| Dec 31, 2022 | 949,131.00 |
| Sep 30, 2022 | 1.86 Mn |
| Jun 30, 2022 | 2.30 Mn |
| Mar 31, 2022 | 2.42 Mn |
| Dec 31, 2021 | 2.52 Mn |
| Sep 30, 2021 | 2.52 Mn |
| Jun 30, 2021 | 2.15 Mn |
API Access
Amesite 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=AMST&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "AMST", "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=AMST&period=max&api_key=YOUR_API_KEY");
const data = await res.json();