ConnectM Technology Solutions (CNTM) Total Non-Current Liabilities (2023 - 2026)
ConnectM Technology Solutions' Total Non-Current Liabilities came in at $36.85 million for Q2 2026, up 32.0% from $27.91 million a year earlier.
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Analysis
ConnectM Technology Solutions (CNTM) Total Non-Current Liabilities (2023 - 2026) Analysis & Trends
At the end of FY2025, ConnectM Technology Solutions' Total Non-Current Liabilities was $34.26 million, down 5.1% from FY2024.
- Going back by year, Total Non-Current Liabilities was $36.11 million in FY2024 (+59.5%) and $22.64 million in FY2023.
- The Q2 2026 figure represents the highest quarterly Total Non-Current Liabilities since Q1 2025.
- Year-over-year, Total Non-Current Liabilities increased in three of the last four quarters, with growth averaging 23.3%.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 256.04 Bn | 241.11 Bn | 2.30 Bn | 19.68 Bn |
| 2 | CrowdStrike Holdings | 231.44 Bn | 211.84 Bn | 1.10 Bn | 6.57 Bn |
| 3 | Fortinet | 125.53 Bn | 111.46 Bn | 1.64 Bn | 9.17 Bn |
| 4 | Snowflake | 111.86 Bn | 99.18 Bn | 1.04 Bn | 6.45 Bn |
| 5 | Datadog | 91.22 Bn | 72.86 Bn | 881.34 Mn | 3.16 Bn |
| 6 | Zscaler | 34.16 Bn | 20.28 Bn | - | 5.20 Bn |
| 7 | Okta | 33.29 Bn | 23.39 Bn | 641.00 Mn | 2.11 Bn |
| 8 | Axon Enterprise | 32.26 Bn | 26.79 Bn | 546.45 Mn | 3.62 Bn |
| 9 | MongoDB | 28.78 Bn | 19.25 Bn | 569.77 Mn | 770.18 Mn |
| 10 | ConnectM Technology Solutions | 27.45 Mn | 17.45 Mn | 2.80 Mn | 36.85 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 36.85 Mn |
| Dec 31, 2025 | 34.26 Mn |
| Sep 30, 2025 | 35.32 Mn |
| Jun 30, 2025 | 27.91 Mn |
| Mar 31, 2025 | 38.42 Mn |
| Dec 31, 2024 | 36.11 Mn |
| Sep 30, 2024 | 33.10 Mn |
| Dec 31, 2023 | 22.64 Mn |
API Access
ConnectM Technology Solutions Total Non-Current Liabilities 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=total-non-current-liabilities&ticker=CNTM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "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=total-non-current-liabilities&ticker=CNTM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();