Intermap Technologies (ITMSF) Total Debt (2024 - 2026)
Intermap Technologies' Total Debt came in at $414,000 for the quarter ended Jun 30, 2026, up 437.7% from $77,000 a year earlier and up 35.3% from the prior quarter.
Intermap Technologies (ITMSF) Total Debt (2024 - 2026) Analysis & Trends
As of Dec 31, 2025, Intermap Technologies' Total Debt was $474,000, up 189.0% from the prior year.
- Going back by year, Total Debt was $164,000 in the year ended Dec 31, 2024.
- The five-year range for quarterly Total Debt is $48,000 (the quarter ended Sep 30, 2025) to $474,000 (the quarter ended Dec 31, 2025).
- Year-over-year, Total Debt has increased for three consecutive quarters.
- Business Quant data shows ITMSF's Total Debt at $306,000 (quarter ended Mar 31, 2026), $474,000 (quarter ended Dec 31, 2025) and $48,000 (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) | Total Debt (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 319.55 Bn | 304.63 Bn | 2.30 Bn | - |
| 2 | CrowdStrike Holdings | 265.46 Bn | 245.90 Bn | 1.10 Bn | 746.22 Mn |
| 3 | Fortinet | 129.36 Bn | 115.29 Bn | 1.64 Bn | 496.90 Mn |
| 4 | Snowflake | 115.65 Bn | 102.97 Bn | 1.04 Bn | - |
| 5 | Datadog | 96.45 Bn | 78.09 Bn | 881.34 Mn | - |
| 6 | Axon Enterprise | 34.50 Bn | 29.03 Bn | 546.45 Mn | 1.73 Bn |
| 7 | Okta | 33.79 Bn | 23.89 Bn | 641.00 Mn | - |
| 8 | Zscaler | 32.51 Bn | 18.63 Bn | - | - |
| 9 | Baidu | 29.59 Bn | -44.04 Bn | 1.47 Mn | 10.12 Bn |
| 10 | Intermap Technologies | 47.08 Mn | -36.69 Mn | - | 414,000.00 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 414,000.00 |
| Mar 31, 2026 | 306,000.00 |
| Dec 31, 2025 | 474,000.00 |
| Sep 30, 2025 | 48,000.00 |
| Jun 30, 2025 | 77,000.00 |
| Mar 31, 2025 | 110,000.00 |
| Dec 31, 2024 | 164,000.00 |
Intermap Technologies Total Debt 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-debt&ticker=ITMSF&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-debt", "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=total-debt&ticker=ITMSF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();