ConnectM Technology Solutions (CNTM) Accumulated Expenses (2021 - 2026)
ConnectM Technology Solutions' Accumulated Expenses came in at $6.92 million for Q2 2026, up 109.0% from $3.31 million a year earlier.
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Analysis
ConnectM Technology Solutions (CNTM) Accumulated Expenses (2021 - 2026) Analysis & Trends
At the end of FY2025, ConnectM Technology Solutions' Accumulated Expenses was $1.46 million, down 54.6% from FY2024.
- Accumulated Expenses carries a four-year compound annual growth rate of 253.2% (FY2021 to FY2025).
- Going back by year, Accumulated Expenses was $3.21 million in FY2024 (+93.1%), $1.66 million in FY2023 (+16.5%), $1.43 million in FY2022 and $9,358 in FY2021.
- The Q2 2026 figure represents the highest quarterly Accumulated Expenses in data going back to Q4 2021.
- Year-over-year, Accumulated Expenses increased in five of the last seven quarters, with growth averaging 23.3%.
- The fastest year-over-year change in Accumulated Expenses over five years came in Q2 2023 (growth of 550.7%), and the weakest in Q4 2025 (a decline of 54.6%).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Palo Alto Networks | 289.26 Bn | 274.33 Bn | 2.30 Bn |
| 2 | CrowdStrike Holdings | 243.64 Bn | 224.08 Bn | 1.10 Bn |
| 3 | Fortinet | 126.90 Bn | 112.83 Bn | 1.64 Bn |
| 4 | Snowflake | 110.61 Bn | 97.93 Bn | 1.04 Bn |
| 5 | Datadog | 92.52 Bn | 74.16 Bn | 881.34 Mn |
| 6 | Zscaler | 38.77 Bn | 24.89 Bn | - |
| 7 | Axon Enterprise | 33.68 Bn | 28.20 Bn | 546.45 Mn |
| 8 | Okta | 33.65 Bn | 23.75 Bn | 641.00 Mn |
| 9 | MongoDB | 29.18 Bn | 19.65 Bn | 569.77 Mn |
| 10 | ConnectM Technology Solutions | 26.81 Mn | 16.81 Mn | 2.80 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 6.92 Mn |
| Dec 31, 2025 | 1.46 Mn |
| Sep 30, 2025 | 3.13 Mn |
| Jun 30, 2025 | 3.31 Mn |
| Mar 31, 2025 | 3.74 Mn |
| Dec 31, 2024 | 3.21 Mn |
| Sep 30, 2024 | 2.92 Mn |
| Jun 30, 2024 | 4.35 Mn |
| Mar 31, 2024 | 3.56 Mn |
| Dec 31, 2023 | 1.66 Mn |
| Sep 30, 2023 | 2.30 Mn |
| Jun 30, 2023 | 2.17 Mn |
| Mar 31, 2023 | 1.88 Mn |
| Dec 31, 2022 | 1.43 Mn |
| Sep 30, 2022 | 538,721.00 |
| Jun 30, 2022 | 333,268.00 |
| Mar 31, 2022 | 9,190.00 |
| Dec 31, 2021 | 9,358.00 |
API Access
ConnectM Technology Solutions Accumulated 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=accumulated-expenses&ticker=CNTM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-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=accumulated-expenses&ticker=CNTM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();