ConnectM Technology Solutions (CNTM) Exchange Rate Effect (2023 - 2025)
ConnectM Technology Solutions' Exchange Rate Effect came in at $119,432 for Q4 2025, compared with $5,018 a year earlier.
Analysis
ConnectM Technology Solutions (CNTM) Exchange Rate Effect (2023 - 2025) Analysis & Trends
For FY2025, ConnectM Technology Solutions' Exchange Rate Effect was $31,828, up 14.8% from FY2024.
- Going back by year, Exchange Rate Effect was $27,731 in FY2024 (-71.5%) and $97,280 in FY2023.
- The Q4 2025 figure represents the highest quarterly Exchange Rate Effect in data going back to Q4 2023.
- Business Quant data shows CNTM's Exchange Rate Effect at -$51,595 (Q3 2025), -$46,219 (Q2 2025) and $10,210 (Q1 2025) in the three quarters before Q4 2025.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | FX Effect (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 255.42 Bn | 240.49 Bn | 2.30 Bn | -5.00 Mn |
| 2 | CrowdStrike Holdings | 232.07 Bn | 212.47 Bn | 1.10 Bn | -1.73 Mn |
| 3 | Fortinet | 125.35 Bn | 111.28 Bn | 1.64 Bn | - |
| 4 | Snowflake | 111.63 Bn | 98.94 Bn | 1.04 Bn | -1.86 Mn |
| 5 | Datadog | 91.35 Bn | 72.99 Bn | 881.34 Mn | 782,000.00 |
| 6 | Zscaler | 34.43 Bn | 20.55 Bn | - | - |
| 7 | Okta | 33.87 Bn | 23.97 Bn | 641.00 Mn | -3.00 Mn |
| 8 | Axon Enterprise | 31.65 Bn | 26.18 Bn | 546.45 Mn | -2.45 Mn |
| 9 | MongoDB | 29.46 Bn | 19.93 Bn | 569.77 Mn | -2.18 Mn |
| 10 | ConnectM Technology Solutions | 24.76 Mn | 14.76 Mn | 2.80 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 119,432.00 |
| Sep 30, 2025 | -51,595.00 |
| Jun 30, 2025 | -46,219.00 |
| Mar 31, 2025 | 10,210.00 |
| Dec 31, 2024 | 5,018.00 |
| Sep 30, 2024 | 12,372.00 |
| Jun 30, 2024 | -2,599.00 |
| Mar 31, 2024 | 12,940.00 |
| Dec 31, 2023 | -4,720.00 |
API Access
ConnectM Technology Solutions Exchange Rate Effect 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=exchange-rate-effect&ticker=CNTM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "exchange-rate-effect", "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=exchange-rate-effect&ticker=CNTM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();