Amesite (AMST) EBIT (2021 - 2026)
Amesite's EBIT came in at -$1.05 million for fiscal Q4 2026 (quarter ended Jun 30, 2026), compared with -$857,678 a year earlier.
Analysis
Amesite (AMST) EBIT (2021 - 2026) Analysis & Trends
For FY2026 (ended Jun 30, 2026), Amesite's EBIT was -$3.14 million.
- Going back by fiscal year, EBIT was -$3.6 million in FY2025, -$4.58 million in FY2024, -$4.22 million in FY2023 and -$9.06 million in FY2022.
- The fiscal Q4 2026 figure represents the lowest quarterly EBIT since fiscal Q2 2025.
- Business Quant data shows AMST's EBIT at -$684,072 (Q3 2026), -$745,253 (Q2 2026) and -$662,124 (Q1 2026) in the three fiscal quarters before Q4 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBIT (Qtr) |
|---|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - | -178,646.00 |
| 2 | Veeva Systems | 45.35 Bn | 17.59 Bn | 695.95 Mn | 275.02 Mn |
| 3 | Samsara | 22.20 Bn | 18.97 Bn | 392.58 Mn | 4.88 Mn |
| 4 | Toast | 17.53 Bn | 10.20 Bn | 516.00 Mn | 152.00 Mn |
| 5 | Ptc | 15.47 Bn | 14.28 Bn | 490.47 Mn | 166.51 Mn |
| 6 | Trimble | 13.41 Bn | 12.48 Bn | 674.90 Mn | 132.00 Mn |
| 7 | Duolingo | 12.56 Bn | 7.73 Bn | 216.74 Mn | 33.95 Mn |
| 8 | Manhattan Associates | 11.77 Bn | 10.77 Bn | 168.33 Mn | 66.23 Mn |
| 9 | Costar | 10.95 Bn | 4.91 Bn | 728.00 Mn | 76.00 Mn |
| 10 | Amesite | 4.99 Mn | 4.99 Mn | - | -1.05 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -1.05 Mn |
| Mar 31, 2026 | -684,072.00 |
| Dec 31, 2025 | -745,253.00 |
| Sep 30, 2025 | -662,124.00 |
| Jun 30, 2025 | -857,678.00 |
| Mar 31, 2025 | -687,722.00 |
| Dec 31, 2024 | -1.13 Mn |
| Sep 30, 2024 | -927,344.00 |
| Jun 30, 2024 | -1.21 Mn |
| Mar 31, 2024 | -1.46 Mn |
| Dec 31, 2023 | -956,084.00 |
| Sep 30, 2023 | -949,990.00 |
| Jun 30, 2023 | -984,780.00 |
| Dec 31, 2022 | -711,992.00 |
| Sep 30, 2022 | -1.58 Mn |
| Jun 30, 2022 | -2.14 Mn |
| Mar 31, 2022 | -2.21 Mn |
| Dec 31, 2021 | -2.33 Mn |
API Access
Amesite EBIT 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=ebit&ticker=AMST&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebit", "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=ebit&ticker=AMST&period=max&api_key=YOUR_API_KEY");
const data = await res.json();