ConnectM Technology Solutions (CNTM) EBITDA Margin (2023 - 2025)
ConnectM Technology Solutions' EBITDA Margin was -31.17% in Q4 2025, up 63.95 percentage points from -95.12% a year earlier but down 3.94 percentage points from the prior quarter.
ConnectM Technology Solutions (CNTM) EBITDA Margin (2023 - 2025) Analysis & Trends
For FY2025, EBITDA Margin at ConnectM Technology Solutions came in at -32.85%, up 15.08 percentage points from FY2024.
- In earlier years, EBITDA Margin was -47.93% in FY2024 (-14.44 pp) and -33.49% in FY2023.
- Quarterly EBITDA Margin has moved between -95.12% (Q4 2024) and -23.03% (Q1 2024) over five years.
- Compared with a year earlier, EBITDA Margin was higher in three of the last six quarters, with an average year-over-year change of +4.96 percentage points.
- Per Business Quant data, CNTM's EBITDA Margin in the three quarters before Q4 2025 was -27.23% (Q3 2025), -43.47% (Q2 2025) and -35.51% (Q1 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 255.42 Bn | 240.49 Bn | 2.30 Bn | 20.32% |
| 2 | CrowdStrike Holdings | 230.60 Bn | 211.00 Bn | 1.10 Bn | 11.58% |
| 3 | Fortinet | 125.12 Bn | 111.05 Bn | 1.64 Bn | 40.40% |
| 4 | Snowflake | 112.25 Bn | 99.57 Bn | 1.04 Bn | -8.70% |
| 5 | Datadog | 91.25 Bn | 72.89 Bn | 881.34 Mn | 4.19% |
| 6 | Zscaler | 34.38 Bn | 20.50 Bn | - | - |
| 7 | Okta | 33.57 Bn | 23.66 Bn | 641.00 Mn | 20.62% |
| 8 | Axon Enterprise | 32.01 Bn | 26.54 Bn | 546.45 Mn | 8.76% |
| 9 | MongoDB | 28.98 Bn | 19.45 Bn | 569.77 Mn | 4.58% |
| 10 | ConnectM Technology Solutions | 27.51 Mn | 17.51 Mn | 2.80 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | -27.95% |
| Sep 30, 2025 | -26.90% |
| Jun 30, 2025 | -43.12% |
| Mar 31, 2025 | -34.65% |
| Dec 31, 2024 | -94.29% |
| Sep 30, 2024 | -37.20% |
| Jun 30, 2024 | -25.28% |
| Mar 31, 2024 | -22.47% |
| Sep 30, 2023 | -46.30% |
ConnectM Technology Solutions 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=CNTM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda-margin", "ticker": "CNTM", "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=CNTM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();