Intermap Technologies (ITMSF) Price to Sales (2024 - 2026)
Intermap Technologies' (ITMSF) Price to Sales came in at 8.06 for the quarter ended Jun 30, 2026, up 87.4% from 4.30 a year earlier but down 22.6% from the prior quarter.
Powered by 
Analysis
Intermap Technologies (ITMSF) Price to Sales (2024 - 2026) Analysis & Trends
For the year ended Dec 31, 2025, Intermap Technologies' Price to Sales stood at 9.32, up 81.4% from the prior year.
- In prior years, Intermap Technologies' Price to Sales was 5.14 in the year ended Dec 31, 2024.
- Quarterly Price to Sales has run from a low of 3.55 in the quarter ended Mar 31, 2025 to a high of 10.41 in the quarter ended Mar 31, 2026 over five years.
- On a year-over-year basis, Price to Sales has increased in each of the last three quarters.
- According to Business Quant data, Price to Sales for the three prior quarters was 10.41 (quarter ended Mar 31, 2026), 9.32 (quarter ended Dec 31, 2025) and 6.92 (quarter ended Sep 30, 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Palo Alto Networks | 323.81 Bn | 308.88 Bn | 2.30 Bn |
| 2 | CrowdStrike Holdings | 271.09 Bn | 251.53 Bn | 1.10 Bn |
| 3 | Fortinet | 131.14 Bn | 117.07 Bn | 1.64 Bn |
| 4 | Snowflake | 119.71 Bn | 107.03 Bn | 1.04 Bn |
| 5 | Datadog | 98.30 Bn | 79.94 Bn | 881.34 Mn |
| 6 | Okta | 34.95 Bn | 25.05 Bn | 641.00 Mn |
| 7 | Axon Enterprise | 34.32 Bn | 28.85 Bn | 546.45 Mn |
| 8 | Zscaler | 32.52 Bn | 18.64 Bn | - |
| 9 | Baidu | 29.56 Bn | -44.07 Bn | 1.47 Mn |
| 10 | Intermap Technologies | 46.36 Mn | -37.41 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 8.06 |
| Mar 31, 2026 | 10.41 |
| Dec 31, 2025 | 9.32 |
| Sep 30, 2025 | 6.92 |
| Jun 30, 2025 | 4.30 |
| Mar 31, 2025 | 3.55 |
| Dec 31, 2024 | 5.14 |
API Access
Intermap Technologies Price to Sales 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=price-to-sales&ticker=ITMSF&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-sales", "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=price-to-sales&ticker=ITMSF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();