Flyexclusive (FLYX) Change in Accrued Expenses (2021 - 2023)
Flyexclusive (FLYX) posted Change in Accured Expenses of $5,120 for Q3 2023, down 99.5% from $1.04 million a year earlier and down 98.2% from the prior quarter.
Flyexclusive (FLYX) Change in Accrued Expenses (2021 - 2023) Analysis & Trends
For the trailing twelve months through Sep 30, 2023, Change in Accured Expenses at Flyexclusive was $1.8 million, up 49.9% year-over-year; for FY2022, it came in at $2.12 million, up 464.1% from FY2021.
- In prior years, Flyexclusive's Change in Accured Expenses was $376,547 in FY2021.
- The Q3 2023 figure stands as the lowest quarterly Change in Accured Expenses since Q1 2022.
- According to Business Quant data, Change in Accured Expenses for the three prior quarters was $292,375 (Q2 2023), $415,996 (Q1 2023) and $1.08 million (Q4 2022).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accrued Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Union Pacific | 178.63 Bn | 170.88 Bn | - | -30.00 Mn |
| 2 | Csx | 94.16 Bn | 89.39 Bn | - | - |
| 3 | United Parcel Service | 83.47 Bn | 60.32 Bn | 22.04 Bn | 247.00 Mn |
| 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 | 1.21 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 | - |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2023 | 5,120.00 |
| Jun 30, 2023 | 292,375.00 |
| Mar 31, 2023 | 415,996.00 |
| Dec 31, 2022 | 1.08 Mn |
| Sep 30, 2022 | 1.04 Mn |
| Jun 30, 2022 | 62,966.00 |
| Mar 31, 2022 | -65,186.00 |
| Dec 31, 2021 | 157,373.00 |
| Sep 30, 2021 | -332,046.00 |
Flyexclusive Change in Accrued Expenses 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=change-in-accured-expenses&ticker=FLYX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-expenses", "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=change-in-accured-expenses&ticker=FLYX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();