ConnectM Technology Solutions (CNTM) Gross Margin (2023 - 2026)
ConnectM Technology Solutions' Gross Margin was 28.63% in Q2 2026, down 7.90 percentage points from 36.53% a year earlier.
ConnectM Technology Solutions (CNTM) Gross Margin (2023 - 2026) Analysis & Trends
On a trailing twelve-month basis, ConnectM Technology Solutions' Gross Margin was 31.00% through Jun 30, 2026, up 2.63 percentage points year-over-year; for FY2025, it came in at 31.99%, up 5.74 percentage points from FY2024.
- In earlier years, Gross Margin was 26.25% in FY2024 (+1.03 pp) and 25.22% in FY2023.
- Quarterly Gross Margin has moved between 9.18% (Q4 2024) and 39.33% (Q2 2024) over five years.
- Compared with a year earlier, Gross Margin was higher in four of the last seven quarters, with an average year-over-year change of +3.58 percentage points.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Gross Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 255.42 Bn | 240.49 Bn | 2.30 Bn | 67.57% |
| 2 | CrowdStrike Holdings | 232.07 Bn | 212.47 Bn | 1.10 Bn | 74.57% |
| 3 | Fortinet | 125.35 Bn | 111.28 Bn | 1.64 Bn | 80.24% |
| 4 | Snowflake | 111.63 Bn | 98.94 Bn | 1.04 Bn | 67.02% |
| 5 | Datadog | 91.35 Bn | 72.99 Bn | 881.34 Mn | 78.59% |
| 6 | Zscaler | 34.43 Bn | 20.55 Bn | - | - |
| 7 | Okta | 33.87 Bn | 23.97 Bn | 641.00 Mn | 79.63% |
| 8 | Axon Enterprise | 31.65 Bn | 26.18 Bn | 546.45 Mn | 60.42% |
| 9 | MongoDB | 29.46 Bn | 19.93 Bn | 569.77 Mn | 73.83% |
| 10 | ConnectM Technology Solutions | 24.76 Mn | 14.76 Mn | 2.80 Mn | 28.63% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 28.63% |
| Dec 31, 2025 | 27.04% |
| Sep 30, 2025 | 33.01% |
| Jun 30, 2025 | 36.53% |
| Mar 31, 2025 | 33.53% |
| Dec 31, 2024 | 9.18% |
| Sep 30, 2024 | 29.97% |
| Jun 30, 2024 | 39.33% |
| Mar 31, 2024 | 29.84% |
| Dec 31, 2023 | 12.77% |
| Sep 30, 2023 | 15.24% |
ConnectM Technology Solutions Gross 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=gross-margin&ticker=CNTM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "gross-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=gross-margin&ticker=CNTM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();