Amesite (AMST) EBITDA (2021 - 2026)
Amesite's EBITDA was -$973,804 in fiscal Q4 2026 (quarter ended Jun 30, 2026), compared with -$755,594 a year earlier.
Analysis
Amesite (AMST) EBITDA (2021 - 2026) Analysis & Trends
For FY2026 (ended Jun 30, 2026), EBITDA at Amesite came in at -$2.87 million.
- In earlier fiscal years, EBITDA was -$3.17 million in FY2025, -$4.05 million in FY2024, -$3.54 million in FY2023 and -$8.18 million in FY2022.
- The fiscal Q4 2026 figure marks the lowest quarterly EBITDA since fiscal Q2 2025.
- Per Business Quant data, AMST's EBITDA in the three fiscal quarters before Q4 2026 was -$612,699 (Q3 2026), -$677,513 (Q2 2026) and -$601,684 (Q1 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - | - |
| 2 | Veeva Systems | 45.35 Bn | 17.59 Bn | 695.95 Mn | 290.79 Mn |
| 3 | Samsara | 22.20 Bn | 18.97 Bn | 392.58 Mn | 13.29 Mn |
| 4 | Toast | 17.53 Bn | 10.20 Bn | 516.00 Mn | 188.00 Mn |
| 5 | Ptc | 15.47 Bn | 14.28 Bn | 490.47 Mn | 190.70 Mn |
| 6 | Trimble | 13.41 Bn | 12.48 Bn | 674.90 Mn | 183.10 Mn |
| 7 | Duolingo | 12.56 Bn | 7.73 Bn | 216.74 Mn | 38.19 Mn |
| 8 | Manhattan Associates | 11.77 Bn | 10.77 Bn | 168.33 Mn | 67.86 Mn |
| 9 | Costar | 10.95 Bn | 4.91 Bn | 728.00 Mn | 191.00 Mn |
| 10 | Amesite | 4.99 Mn | 4.99 Mn | - | -973,804.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -973,804.00 |
| Mar 31, 2026 | -612,699.00 |
| Dec 31, 2025 | -677,513.00 |
| Sep 30, 2025 | -601,684.00 |
| Jun 30, 2025 | -755,594.00 |
| Mar 31, 2025 | -587,213.00 |
| Dec 31, 2024 | -1.02 Mn |
| Sep 30, 2024 | -809,069.00 |
| Jun 30, 2024 | -1.09 Mn |
| Mar 31, 2024 | -1.34 Mn |
| Dec 31, 2023 | -816,417.00 |
| Sep 30, 2023 | -797,632.00 |
| Jun 30, 2023 | -827,928.00 |
| Dec 31, 2022 | -536,688.00 |
| Sep 30, 2022 | -1.40 Mn |
| Jun 30, 2022 | -1.94 Mn |
| Mar 31, 2022 | -1.97 Mn |
| Dec 31, 2021 | -2.11 Mn |
API Access
Amesite EBITDA 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=ebitda&ticker=AMST&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=AMST&period=max&api_key=YOUR_API_KEY");
const data = await res.json();