Intermap Technologies (ITMSF) Long-Term Debt Repayments (2024 - 2026)
Intermap Technologies (ITMSF) recorded Long-Term Debt Repayments of -$83,000 in the quarter ended Jun 30, 2026, compared with -$24,000 a year earlier.
Intermap Technologies (ITMSF) Long-Term Debt Repayments (2024 - 2026) Analysis & Trends
On a TTM basis, Intermap Technologies' Long-Term Debt Repayments came in at -$235,000 as of Jun 30, 2026; for the year ended Dec 31, 2025, it came in at -$127,000.
- Across earlier years, Long-Term Debt Repayments came in at -$41,000 in the year ended Dec 31, 2024.
- The figure for the quarter ended Jun 30, 2026 is the lowest quarterly Long-Term Debt Repayments in data going back to the quarter ended Mar 31, 2024.
- Per Business Quant, the preceding three quarters came in at -$72,000 (quarter ended Mar 31, 2026), -$56,000 (quarter ended Dec 31, 2025) and -$24,000 (quarter ended Sep 30, 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | LT Debt Repayment (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 260.12 Bn | 245.19 Bn | 2.30 Bn | 160.00 Mn |
| 2 | CrowdStrike Holdings | 232.49 Bn | 212.89 Bn | 1.10 Bn | - |
| 3 | Fortinet | 125.70 Bn | 111.63 Bn | 1.64 Bn | - |
| 4 | Snowflake | 110.19 Bn | 97.50 Bn | 1.04 Bn | - |
| 5 | Datadog | 92.71 Bn | 74.35 Bn | 881.34 Mn | - |
| 6 | Zscaler | 34.07 Bn | 20.19 Bn | - | - |
| 7 | Okta | 33.06 Bn | 23.16 Bn | 641.00 Mn | - |
| 8 | Axon Enterprise | 30.90 Bn | 25.43 Bn | 546.45 Mn | - |
| 9 | MongoDB | 28.04 Bn | 18.51 Bn | 569.77 Mn | 1.79 Mn |
| 10 | Intermap Technologies | 34.92 Mn | -48.85 Mn | - | 227,000.00 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 227,000.00 |
| Mar 31, 2026 | -72,000.00 |
| Dec 31, 2025 | 63,000.00 |
| Sep 30, 2025 | 34,000.00 |
| Jun 30, 2025 | 33,000.00 |
| Mar 31, 2025 | 32,000.00 |
| Dec 31, 2024 | 10,000.00 |
| Sep 30, 2024 | 10,000.00 |
| Jun 30, 2024 | 10,000.00 |
| Mar 31, 2024 | 11,000.00 |
Intermap Technologies Long-Term Debt Repayments 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=long-term-debt-repayments&ticker=ITMSF&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-debt-repayments", "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=long-term-debt-repayments&ticker=ITMSF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();