ConnectM Technology Solutions (CNTM) Return on Sales [ROS] (2023 - 2026)
ConnectM Technology Solutions' Return on Sales [ROS] came in at -29.77% for Q2 2026, up 15.13 percentage points from -44.90% a year earlier.
ConnectM Technology Solutions (CNTM) Return on Sales [ROS] (2023 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, ConnectM Technology Solutions reported Return on Sales [ROS] of -34.57%, up 18.80 percentage points year-over-year; for FY2025, it was -35.12%, up 16.10 percentage points from FY2024.
- Going back by year, Return on Sales [ROS] was -51.22% in FY2024 (-13.84 pp) and -37.38% in FY2023.
- The Q2 2026 figure represents the highest quarterly Return on Sales [ROS] since Q2 2024.
- Year-over-year, Return on Sales [ROS] increased in four of the last seven quarters, with an average year-over-year change of +6.21 percentage points.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 310.15 Bn | 295.22 Bn | 2.30 Bn | 5.04% |
| 2 | CrowdStrike Holdings | 263.73 Bn | 244.17 Bn | 1.10 Bn | -2.26% |
| 3 | Fortinet | 132.04 Bn | 117.97 Bn | 1.64 Bn | 33.66% |
| 4 | Snowflake | 114.70 Bn | 102.02 Bn | 1.04 Bn | -17.00% |
| 5 | Datadog | 96.79 Bn | 78.43 Bn | 881.34 Mn | 0.49% |
| 6 | Zscaler | 41.60 Bn | 27.72 Bn | - | - |
| 7 | Okta | 35.61 Bn | 25.70 Bn | 641.00 Mn | 13.29% |
| 8 | Axon Enterprise | 34.15 Bn | 28.67 Bn | 546.45 Mn | 5.17% |
| 9 | MongoDB | 29.89 Bn | 20.36 Bn | 569.77 Mn | 3.68% |
| 10 | ConnectM Technology Solutions | 26.02 Mn | 16.02 Mn | 2.80 Mn | -29.77% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -29.77% |
| Dec 31, 2025 | -32.98% |
| Sep 30, 2025 | -32.35% |
| Jun 30, 2025 | -44.90% |
| Mar 31, 2025 | -36.42% |
| Dec 31, 2024 | -98.93% |
| Sep 30, 2024 | -42.24% |
| Jun 30, 2024 | -28.94% |
| Mar 31, 2024 | -26.32% |
| Dec 31, 2023 | -70.16% |
| Sep 30, 2023 | -49.61% |
ConnectM Technology Solutions Return on Sales [ROS] 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=return-on-sales-%5Bros%5D&ticker=CNTM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "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=return-on-sales-%5Bros%5D&ticker=CNTM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();