ConnectM Technology Solutions (CNTM) Interest Expenses (2023 - 2026)
ConnectM Technology Solutions' Interest Expenses came in at $844,128 for Q2 2026, up 884.3% from $85,757 a year earlier.
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Analysis
ConnectM Technology Solutions (CNTM) Interest Expenses (2023 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, ConnectM Technology Solutions reported Interest Expenses of $1.64 million, down 23.5% year-over-year; for FY2025, it was $1.3 million, down 52.0% from FY2024.
- Going back by year, Interest Expenses was $2.71 million in FY2024 (+89.6%) and $1.43 million in FY2023.
- The Q2 2026 figure represents the highest quarterly Interest Expenses since Q4 2024.
- Year-over-year, Interest Expenses increased in three of the last seven quarters, with growth averaging 112.8%.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Int Expense (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 260.12 Bn | 245.19 Bn | 2.30 Bn | - |
| 2 | CrowdStrike Holdings | 232.49 Bn | 212.89 Bn | 1.10 Bn | 6.05 Mn |
| 3 | Fortinet | 125.70 Bn | 111.63 Bn | 1.64 Bn | 3.20 Mn |
| 4 | Snowflake | 110.19 Bn | 97.50 Bn | 1.04 Bn | 2.08 Mn |
| 5 | Datadog | 92.71 Bn | 74.35 Bn | 881.34 Mn | 3.26 Mn |
| 6 | Zscaler | 34.07 Bn | 20.19 Bn | - | - |
| 7 | Okta | 33.06 Bn | 23.16 Bn | 641.00 Mn | -19.00 Mn |
| 8 | Axon Enterprise | 30.90 Bn | 25.43 Bn | 546.45 Mn | 28.10 Mn |
| 9 | MongoDB | 28.04 Bn | 18.51 Bn | 569.77 Mn | 924,000.00 |
| 10 | ConnectM Technology Solutions | 26.41 Mn | 16.41 Mn | 2.80 Mn | 844,128.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 844,128.00 |
| Dec 31, 2025 | 554,003.00 |
| Sep 30, 2025 | 153,654.00 |
| Jun 30, 2025 | 85,757.00 |
| Mar 31, 2025 | 493,464.00 |
| Dec 31, 2024 | 884,739.00 |
| Sep 30, 2024 | 676,192.00 |
| Jun 30, 2024 | 640,732.00 |
| Mar 31, 2024 | 512,385.00 |
| Dec 31, 2023 | 529,354.00 |
| Sep 30, 2023 | 472,000.00 |
API Access
ConnectM Technology Solutions Interest Expenses 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=interest-expenses&ticker=CNTM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "interest-expenses", "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=interest-expenses&ticker=CNTM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();