Fast Track (FTRKF) Price to Book (2025 - 2026)
Fast Track's (FTRKF) Price to Book stood at 18.50 in the quarter ended Feb 28, 2026.
Analysis
Fast Track (FTRKF) Price to Book (2025 - 2026) Analysis & Trends
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Live Nation Entertainment | 40.51 Bn | 9.58 Bn | 1.94 Bn |
| 2 | TKO Group Holdings | 34.58 Bn | 31.54 Bn | 990.96 Mn |
| 3 | Liberty Media | 19.43 Bn | 14.75 Bn | 329.00 Mn |
| 4 | Liberty Live Holdings | 8.93 Bn | 6.98 Bn | 30.26 Mn |
| 5 | Madison Square Garden Entertainment | 3.31 Bn | 2.50 Bn | 75.84 Mn |
| 6 | Amc Entertainment Holdings | 2.37 Bn | 456.31 Mn | 1.05 Bn |
| 7 | Emerald Holding | 997.46 Mn | 523.66 Mn | 99.50 Mn |
| 8 | Marcus | 882.04 Mn | 813.63 Mn | 106.56 Mn |
| 9 | Reading International | 41.78 Mn | 12.09 Mn | 14.10 Mn |
| 10 | Fast Track | 21.81 Mn | 12.73 Mn | - |
API Access
Fast Track Price to Book 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-book&ticker=FTRKF&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-book", "ticker": "FTRKF", "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-book&ticker=FTRKF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();