Intermap Technologies (ITMSF) Receivables (2024 - 2026)
Intermap Technologies' Receivables was $1.17 million in the quarter ended Jun 30, 2026, up 18.5% from $985,000 a year earlier but down 43.7% from the prior quarter.
Intermap Technologies (ITMSF) Receivables (2024 - 2026) Analysis & Trends
As of Dec 31, 2025, Receivables at Intermap Technologies came in at $2.23 million, down 62.9% from the prior year.
- In earlier years, Receivables was $6.01 million in the year ended Dec 31, 2024.
- Quarterly Receivables has moved between $936,000 (the quarter ended Sep 30, 2025) and $6.56 million (the quarter ended Mar 31, 2025) over five years.
- Per Business Quant data, ITMSF's Receivables in the three quarters before the quarter ended Jun 30, 2026 was $2.07 million (quarter ended Mar 31, 2026), $2.23 million (quarter ended Dec 31, 2025) and $936,000 (quarter ended Sep 30, 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Receivables (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 319.55 Bn | 304.63 Bn | 2.30 Bn | 3.63 Bn |
| 2 | CrowdStrike Holdings | 265.46 Bn | 245.90 Bn | 1.10 Bn | 1.04 Bn |
| 3 | Fortinet | 129.36 Bn | 115.29 Bn | 1.64 Bn | 1.46 Bn |
| 4 | Snowflake | 115.65 Bn | 102.97 Bn | 1.04 Bn | 718.46 Mn |
| 5 | Datadog | 96.45 Bn | 78.09 Bn | 881.34 Mn | 975.55 Mn |
| 6 | Axon Enterprise | 34.50 Bn | 29.03 Bn | 546.45 Mn | 1.52 Bn |
| 7 | Okta | 33.79 Bn | 23.89 Bn | 641.00 Mn | 469.00 Mn |
| 8 | Zscaler | 32.51 Bn | 18.63 Bn | - | 1.15 Bn |
| 9 | Baidu | 29.59 Bn | -44.04 Bn | 1.47 Mn | 2.09 Bn |
| 10 | Intermap Technologies | 47.08 Mn | -36.69 Mn | - | 1.17 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.17 Mn |
| Mar 31, 2026 | 2.07 Mn |
| Dec 31, 2025 | 2.23 Mn |
| Sep 30, 2025 | 936,000.00 |
| Jun 30, 2025 | 985,000.00 |
| Mar 31, 2025 | 6.56 Mn |
| Dec 31, 2024 | 3.37 Mn |
Intermap Technologies Receivables 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=receivables&ticker=ITMSF&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables", "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=receivables&ticker=ITMSF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();