Flyexclusive (FLYX) Change in Accured 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.
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Analysis
Flyexclusive (FLYX) Change in Accured 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 Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accured Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Union Pacific | 165.28 Bn | 159.81 Bn | - | 187.00 Mn |
| 2 | Csx | 87.86 Bn | 84.08 Bn | - | - |
| 3 | Canadian Pacific Kansas City | 75.56 Bn | 75.27 Bn | - | - |
| 4 | Norfolk Southern | 71.27 Bn | 65.91 Bn | - | - |
| 5 | United Parcel Service | 69.70 Bn | 46.62 Bn | - | 147.00 Mn |
| 6 | Fedex | 68.71 Bn | 34.65 Bn | - | 1.21 Bn |
| 7 | Delta Air Lines | 55.32 Bn | 37.50 Bn | - | - |
| 8 | Old Dominion Freight Line | 37.44 Bn | 36.71 Bn | - | - |
| 9 | United Airlines Holdings | 36.52 Bn | -19.85 Bn | - | - |
| 10 | Flyexclusive | 119.54 Mn | 140.67 Mn | 22.69 Mn | - |
Historic Data
Download Data
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 |
API Access
Flyexclusive Change in Accured 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_KEYimport 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();