Flyexclusive (FLYX) Operating Expenses (2021 - 2026)
Flyexclusive's Operating Expenses came in at $116.88 million for Q2 2026, up 12.7% from $103.69 million a year earlier and up 10.3% from the prior quarter.
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Analysis
Flyexclusive (FLYX) Operating Expenses (2021 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Flyexclusive reported Operating Expenses of $439.41 million, up 7.6% year-over-year; for FY2025, it was $423.11 million, up 3.2% from FY2024.
- Operating Expenses has increased in each of the last three years, with a four-year compound annual growth rate of 353.4% (FY2021 to FY2025).
- Going back by year, Operating Expenses was $410.05 million in FY2024 (+16.3%), $352.68 million in FY2023 (+6.1%), $332.35 million in FY2022 and $1 million in FY2021.
- The Q2 2026 figure represents the highest quarterly Operating Expenses since Q4 2022.
- Year-over-year, Operating Expenses has increased for five consecutive quarters, with growth averaging 7.4% over the last eight quarters.
- The fastest year-over-year change in Operating Expenses over five years came in Q2 2022 (growth of 446.6%), and the weakest in Q4 2023 (a decline of 69.9%).
- Business Quant data shows FLYX's Operating Expenses at $105.98 million (Q1 2026), $113.13 million (Q4 2025) and $103.43 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Union Pacific | 161.62 Bn | 156.15 Bn | - | 4.10 Bn |
| 2 | Csx | 86.16 Bn | 82.37 Bn | - | 2.43 Bn |
| 3 | Canadian Pacific Kansas City | 74.78 Bn | 74.50 Bn | - | 1.95 Bn |
| 4 | United Parcel Service | 70.01 Bn | 46.94 Bn | - | 21.90 Bn |
| 5 | Norfolk Southern | 69.45 Bn | 64.09 Bn | - | 2.34 Bn |
| 6 | Fedex | 67.46 Bn | 33.40 Bn | - | 23.46 Bn |
| 7 | Delta Air Lines | 54.88 Bn | 37.06 Bn | - | 17.89 Bn |
| 8 | Old Dominion Freight Line | 36.07 Bn | 35.33 Bn | - | 1.09 Bn |
| 9 | Ryanair Holdings | 28.71 Bn | 12.72 Bn | 3.13 Bn | 4.43 Bn |
| 10 | Flyexclusive | 119.54 Mn | 140.67 Mn | 22.69 Mn | 116.88 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 116.88 Mn |
| Mar 31, 2026 | 105.98 Mn |
| Dec 31, 2025 | 113.13 Mn |
| Sep 30, 2025 | 103.43 Mn |
| Jun 30, 2025 | 103.69 Mn |
| Mar 31, 2025 | 102.86 Mn |
| Dec 31, 2024 | 103.97 Mn |
| Sep 30, 2024 | 97.83 Mn |
| Jun 30, 2024 | 100.86 Mn |
| Mar 31, 2024 | 107.40 Mn |
| Dec 31, 2023 | 99.42 Mn |
| Sep 30, 2023 | 77.89 Mn |
| Jun 30, 2023 | 89.94 Mn |
| Mar 31, 2023 | 85.43 Mn |
| Dec 31, 2022 | 329.97 Mn |
| Sep 30, 2022 | 1.33 Mn |
| Jun 30, 2022 | 676,182.00 |
| Mar 31, 2022 | 372,277.00 |
| Dec 31, 2021 | 529,533.00 |
| Sep 30, 2021 | 347,406.00 |
API Access
Flyexclusive Operating 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=operating-expenses&ticker=FLYX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-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=operating-expenses&ticker=FLYX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();