Forum Markets (FRMM) Price to Sales (2026)
Forum Markets' Price to Sales came in at 8.60 for Q2 2026.
Analysis
Forum Markets (FRMM) Price to Sales (2026) Analysis & Trends
For FY2025, Forum Markets' Price to Sales was 6.11.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Coinbase Global | 48.27 Bn | 5.08 Bn | - |
| 2 | PayPal Holdings | 45.51 Bn | 3.74 Bn | - |
| 3 | Block | 44.67 Bn | 15.93 Bn | 3.17 Bn |
| 4 | Iren | 31.78 Bn | 19.37 Bn | 103.89 Mn |
| 5 | Corpay | 25.91 Bn | 16.11 Bn | - |
| 6 | Fiserv | 23.59 Bn | 20.29 Bn | 2.90 Bn |
| 7 | Global Payments | 20.83 Bn | -735.18 Mn | 2.03 Bn |
| 8 | Bitmine Immersion Technologies | 15.23 Bn | 12.61 Bn | 40.81 Mn |
| 9 | Guidewire Software | 12.47 Bn | 9.03 Bn | 269.68 Mn |
| 10 | Forum Markets | 82.43 Mn | 82.43 Mn | 398,000.00 |
API Access
Forum Markets 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=FRMM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-sales", "ticker": "FRMM", "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=FRMM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();