Femto Technologies (FMTOF) EBITDA Margin (2022 - 2026)
Femto Technologies (FMTOF) reported EBITDA Margin of -441.02% for Q2 2026, up 1657.65 percentage points from -2098.68% a year earlier and up 7.92 percentage points from the prior quarter.
Femto Technologies (FMTOF) EBITDA Margin (2022 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Femto Technologies' EBITDA Margin came in at -1213.53%, up 1684.09 percentage points year-over-year; for FY2025, it came in at -1955.17%, down 28.02 percentage points from FY2024.
- EBITDA Margin has declined for four consecutive years, with a four-year change of -1909.52 percentage points (FY2021 to FY2025).
- By year, EBITDA Margin came in at -1927.15% in FY2024 (-227.43 pp), -1699.72% in FY2023 (-1547.36 pp), -152.37% in FY2022 (-106.71 pp) and -45.65% in FY2021.
- The Q2 2026 figure ranks as the highest quarterly EBITDA Margin since Q2 2023.
- Year over year, EBITDA Margin has now increased in each of the last four quarters, with an average year-over-year change of +622.48 percentage points over the last eight quarters.
- The high point for year-over-year EBITDA Margin in five years was Q4 2025 (a gain of 2803.30 percentage points); the low point was Q4 2023 (a drop of 7255.34 percentage points).
- Per Business Quant data, the three quarters before Q2 2026 came in at -448.94% (Q1 2026), -3100.49% (Q4 2025) and -983.06% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 484.14 Bn | 453.09 Bn | 1.64 Bn | 47.55% |
| 2 | Oracle | 382.29 Bn | 254.42 Bn | - | 52.36% |
| 3 | Sap Se | 271.18 Bn | 198.96 Bn | 8.40 Bn | 29.96% |
| 4 | Salesforce | 198.30 Bn | 154.17 Bn | 8.70 Bn | 34.25% |
| 5 | ServiceNow | 157.86 Bn | 136.32 Bn | 2.82 Bn | 18.59% |
| 6 | Automatic Data Processing | 118.67 Bn | 100.80 Bn | 2.51 Bn | -25.13% |
| 7 | Intuit | 92.65 Bn | 72.00 Bn | 3.44 Bn | 15.92% |
| 8 | Relx | 71.64 Bn | 70.74 Bn | - | - |
| 9 | Strategy | 54.13 Bn | 47.12 Bn | 81.55 Mn | -6,793.01% |
| 10 | Femto Technologies | 244,724.00 | 244,724.00 | 20,639.52 | -441.02% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -441.02% |
| Mar 31, 2026 | -448.94% |
| Dec 31, 2025 | -3,100.49% |
| Sep 30, 2025 | -983.06% |
| Jun 30, 2025 | -2,098.68% |
| Mar 31, 2025 | -1,536.48% |
| Dec 31, 2024 | -5,903.79% |
| Sep 30, 2024 | -1,800.76% |
| Jun 30, 2024 | -1,233.73% |
| Mar 31, 2024 | -533.39% |
| Dec 31, 2023 | -7,487.31% |
| Sep 30, 2023 | -698.92% |
| Jun 30, 2023 | -413.54% |
| Mar 31, 2023 | -153.33% |
| Dec 31, 2022 | -231.97% |
| Sep 30, 2022 | -298.71% |
| Jun 30, 2022 | -212.61% |
| Mar 31, 2022 | -11.02% |
Femto Technologies EBITDA Margin 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-margin&ticker=FMTOF&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda-margin", "ticker": "FMTOF", "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-margin&ticker=FMTOF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();