Intermap Technologies (ITMSF) Other Non-Current Liabilities (2024 - 2026)
Intermap Technologies' Other Non-Current Liabilities came in at $598,000 for the quarter ended Jun 30, 2026, down 4.2% from $624,000 a year earlier and unchanged from the prior quarter.
Intermap Technologies (ITMSF) Other Non-Current Liabilities (2024 - 2026) Analysis & Trends
Going back to the quarter ended Dec 31, 2024, Intermap Technologies' Other Non-Current Liabilities data covers 7 quarters.
- Going back by year, Other Non-Current Liabilities was $367,000 in the year ended Dec 31, 2024.
- The five-year range for quarterly Other Non-Current Liabilities is $367,000 (the quarter ended Dec 31, 2024) to $725,000 (the quarter ended Sep 30, 2025).
- Business Quant data shows ITMSF's Other Non-Current Liabilities at $598,000 (quarter ended Mar 31, 2026), $598,000 (quarter ended Dec 31, 2025) and $725,000 (quarter ended Sep 30, 2025) in the three quarters before the quarter ended Jun 30, 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Palo Alto Networks | 316.55 Bn | 301.63 Bn | 2.30 Bn |
| 2 | CrowdStrike Holdings | 269.03 Bn | 249.47 Bn | 1.10 Bn |
| 3 | Fortinet | 129.08 Bn | 115.01 Bn | 1.64 Bn |
| 4 | Snowflake | 116.42 Bn | 103.73 Bn | 1.04 Bn |
| 5 | Datadog | 96.40 Bn | 78.04 Bn | 881.34 Mn |
| 6 | Okta | 34.24 Bn | 24.34 Bn | 641.00 Mn |
| 7 | Axon Enterprise | 34.08 Bn | 28.61 Bn | 546.45 Mn |
| 8 | Zscaler | 32.34 Bn | 18.46 Bn | - |
| 9 | Baidu | 29.50 Bn | -44.13 Bn | 1.47 Mn |
| 10 | Intermap Technologies | 47.81 Mn | -35.96 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 598,000.00 |
| Mar 31, 2026 | 598,000.00 |
| Dec 31, 2025 | 598,000.00 |
| Sep 30, 2025 | 725,000.00 |
| Jun 30, 2025 | 624,000.00 |
| Mar 31, 2025 | 388,000.00 |
| Dec 31, 2024 | 367,000.00 |
Intermap Technologies Other 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=other-non-current-liabilities&ticker=ITMSF&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-non-current-liabilities", "ticker": "ITMSF", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=other-non-current-liabilities&ticker=ITMSF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();