Intermap Technologies (ITMSF) Debt Ratio (2024 - 2026)
Intermap Technologies' (ITMSF) Debt Ratio came in at 0.02 for the quarter ended Jun 30, 2026, up 186.5% from 0.01 a year earlier and up 45.2% from the prior quarter.
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Analysis
Intermap Technologies (ITMSF) Debt Ratio (2024 - 2026) Analysis & Trends
For the year ended Dec 31, 2025, Intermap Technologies' Debt Ratio stood at 0.01, up 8.8% from the prior year.
- In prior years, Intermap Technologies' Debt Ratio was 0.01 in the year ended Dec 31, 2024.
- On a year-over-year basis, Debt Ratio has increased in each of the last three quarters.
- According to Business Quant data, Debt Ratio for the three prior quarters was 0.01 (quarter ended Mar 31, 2026), 0.01 (quarter ended Dec 31, 2025) and 0.00 (quarter ended Sep 30, 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Debt Ratio (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 255.42 Bn | 240.49 Bn | 2.30 Bn | - |
| 2 | CrowdStrike Holdings | 232.07 Bn | 212.47 Bn | 1.10 Bn | 0.06 |
| 3 | Fortinet | 125.35 Bn | 111.28 Bn | 1.64 Bn | 0.05 |
| 4 | Snowflake | 111.63 Bn | 98.94 Bn | 1.04 Bn | - |
| 5 | Datadog | 91.35 Bn | 72.99 Bn | 881.34 Mn | - |
| 6 | Zscaler | 34.43 Bn | 20.55 Bn | - | - |
| 7 | Okta | 33.87 Bn | 23.97 Bn | 641.00 Mn | - |
| 8 | Axon Enterprise | 31.65 Bn | 26.18 Bn | 546.45 Mn | 0.23 |
| 9 | MongoDB | 29.46 Bn | 19.93 Bn | 569.77 Mn | - |
| 10 | Intermap Technologies | 36.52 Mn | -47.25 Mn | - | 0.02 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 0.02 |
| Mar 31, 2026 | 0.02 |
| Dec 31, 2025 | 0.01 |
| Sep 30, 2025 | 0.01 |
| Jun 30, 2025 | 0.02 |
| Mar 31, 2025 | 0.02 |
| Dec 31, 2024 | 0.02 |
API Access
Intermap Technologies Debt Ratio 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=debt-ratio&ticker=ITMSF&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "debt-ratio", "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=debt-ratio&ticker=ITMSF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();