Marchex (MCHX) Price to Sales (2011 - 2026)
Marchex's (MCHX) Price to Sales was 1.42 for Q2 2026, down 21.5% from 1.81 a year earlier.
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Analysis
Marchex (MCHX) Price to Sales (2011 - 2026) Analysis & Trends
For FY2025, Price to Sales at Marchex was 1.43, up 1.1% from FY2024.
- By year, Price to Sales came in at 1.42 in FY2024 (+34.7%), 1.05 in FY2023 (-10.8%), 1.18 in FY2022 (-31.9%) and 1.73 in FY2021 (-2.0%).
- The Q2 2026 figure ranks as the lowest quarterly Price to Sales since Q1 2025.
- Year over year, Price to Sales gained in six of the last seven quarters, with growth averaging 17.0%.
- The high point for year-over-year Price to Sales in five years was Q2 2023 (growth of 74.7%); the low point was Q3 2021 (a decline of 62.3%).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Palantir Technologies | 456.65 Bn | 425.71 Bn | 1.64 Bn |
| 2 | Oracle | 417.55 Bn | 290.11 Bn | - |
| 3 | Sap Se | 259.04 Bn | 180.13 Bn | 8.40 Bn |
| 4 | Salesforce | 194.78 Bn | 150.65 Bn | 8.70 Bn |
| 5 | ServiceNow | 142.47 Bn | 120.93 Bn | 2.82 Bn |
| 6 | Automatic Data Processing | 105.00 Bn | 87.13 Bn | 2.51 Bn |
| 7 | Intuit | 75.89 Bn | 55.24 Bn | 3.44 Bn |
| 8 | Relx | 60.92 Bn | 57.89 Bn | - |
| 9 | Strategy | 56.49 Bn | 49.48 Bn | 81.55 Mn |
| 10 | Marchex | 51.18 Mn | 12.28 Mn | 6.60 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.42 |
| Dec 31, 2025 | 1.43 |
| Sep 30, 2025 | 1.53 |
| Jun 30, 2025 | 1.81 |
| Mar 31, 2025 | 1.33 |
| Dec 31, 2024 | 1.42 |
| Sep 30, 2024 | 1.50 |
| Jun 30, 2024 | 1.23 |
| Mar 31, 2024 | 1.08 |
| Dec 31, 2023 | 1.05 |
| Sep 30, 2023 | 1.13 |
| Jun 30, 2023 | 1.63 |
| Mar 31, 2023 | 1.37 |
| Dec 31, 2022 | 1.18 |
| Sep 30, 2022 | 1.20 |
| Jun 30, 2022 | 0.93 |
| Mar 31, 2022 | 1.61 |
| Dec 31, 2021 | 1.73 |
| Sep 30, 2021 | 2.06 |
| Jun 30, 2021 | 2.10 |
API Access
Marchex 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=MCHX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-sales", "ticker": "MCHX", "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=MCHX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();