Flyexclusive (FLYX) Intangibles (2022 - 2025)
Flyexclusive's Intangibles came in at $1.19 million for Q3 2025, down 31.0% from $1.73 million a year earlier and down 10.1% from the prior quarter.
Analysis
Flyexclusive (FLYX) Intangibles (2022 - 2025) Analysis & Trends
At the end of FY2024, Flyexclusive's Intangibles was $1.6 million, down 28.4% from FY2023.
- Going back by year, Intangibles was $2.23 million in FY2023 (-8.1%) and $2.43 million in FY2022.
- The Q3 2025 figure represents the lowest quarterly Intangibles in data going back to Q4 2022.
- Year-over-year, Intangibles has declined for four consecutive quarters, with an average decline of 25.6% over the last five quarters.
- Business Quant data shows FLYX's Intangibles at $1.33 million (Q2 2025), $1.47 million (Q1 2025) and $1.6 million (Q4 2024) in the three quarters before Q3 2025.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Intangibles (Qtr) |
|---|---|---|---|---|---|
| 1 | Union Pacific | 162.83 Bn | 157.35 Bn | - | - |
| 2 | Csx | 86.94 Bn | 83.15 Bn | - | - |
| 3 | Canadian Pacific Kansas City | 76.07 Bn | 75.78 Bn | - | 2.15 Bn |
| 4 | United Parcel Service | 70.39 Bn | 47.31 Bn | - | 3.95 Bn |
| 5 | Norfolk Southern | 70.35 Bn | 64.99 Bn | - | - |
| 6 | Fedex | 68.01 Bn | 33.95 Bn | - | - |
| 7 | Delta Air Lines | 55.83 Bn | 38.01 Bn | - | 5.96 Bn |
| 8 | Old Dominion Freight Line | 36.82 Bn | 36.08 Bn | - | - |
| 9 | Ryanair Holdings | 28.96 Bn | 12.97 Bn | 3.13 Bn | 170.17 Mn |
| 10 | Flyexclusive | 122.43 Mn | 143.56 Mn | 22.69 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2025 | 1.19 Mn |
| Jun 30, 2025 | 1.33 Mn |
| Mar 31, 2025 | 1.47 Mn |
| Dec 31, 2024 | 1.60 Mn |
| Sep 30, 2024 | 1.73 Mn |
| Jun 30, 2024 | 1.91 Mn |
| Mar 31, 2024 | 2.11 Mn |
| Dec 31, 2023 | 2.23 Mn |
| Dec 31, 2022 | 2.43 Mn |
API Access
Flyexclusive Intangibles 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=intangibles&ticker=FLYX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "intangibles", "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=intangibles&ticker=FLYX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();