Flyexclusive (FLYX) Price to Book (2023)
Flyexclusive's Price to Book came in at 0.77 for Q4 2023.
Powered by 
Analysis
Flyexclusive (FLYX) Price to Book (2023) Analysis & Trends
For FY2023, Flyexclusive's Price to Book was 2.62.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Union Pacific | 178.63 Bn | 170.88 Bn | - |
| 2 | Csx | 94.16 Bn | 89.39 Bn | - |
| 3 | United Parcel Service | 83.47 Bn | 60.32 Bn | 22.04 Bn |
| 4 | Canadian Pacific Kansas City | 81.54 Bn | 81.26 Bn | 57.15 Mn |
| 5 | Fedex | 75.60 Bn | 41.80 Bn | 18.84 Bn |
| 6 | Norfolk Southern | 73.66 Bn | 68.13 Bn | - |
| 7 | Delta Air Lines | 60.67 Bn | 42.86 Bn | - |
| 8 | United Airlines Holdings | 39.17 Bn | -18.53 Bn | - |
| 9 | Old Dominion Freight Line | 34.72 Bn | 33.56 Bn | 1.56 Bn |
| 10 | Flyexclusive | 107.97 Mn | 129.18 Mn | 22.69 Mn |
API Access
Flyexclusive 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=FLYX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-book", "ticker": "FLYX", "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=FLYX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();