Flyexclusive (FLYX) Depreciation & Amortization (CF) (2023 - 2026)
Flyexclusive's Depreciation & Amortization (CF) was $4.86 million in Q2 2026, down 7.4% from $5.25 million a year earlier but up 4.1% from the prior quarter.
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Analysis
Flyexclusive (FLYX) Depreciation & Amortization (CF) (2023 - 2026) Analysis & Trends
On a trailing twelve-month basis, Flyexclusive's Depreciation & Amortization (CF) was $19.95 million through Jun 30, 2026, down 15.1% year-over-year; for FY2025, it came in at $21.4 million, down 16.8% from FY2024.
- Depreciation & Amortization (CF) shows a three-year compound annual growth rate of -2.5% (FY2022 to FY2025).
- In earlier years, Depreciation & Amortization (CF) was $25.71 million in FY2024 (-4.7%), $26.98 million in FY2023 (+16.7%) and $23.11 million in FY2022.
- Quarterly Depreciation & Amortization (CF) has moved between $4.67 million (Q1 2026) and $7.06 million (Q2 2023) over five years.
- Compared with a year earlier, Depreciation & Amortization (CF) has declined for nine straight quarters, with an average decline of 13.4% over the last eight quarters.
- The best year-over-year quarter for Depreciation & Amortization (CF) over five years was Q1 2024 (growth of 1.2%); the worst was Q2 2025 (a decline of 21.5%).
- Per Business Quant data, FLYX's Depreciation & Amortization (CF) in the three quarters before Q2 2026 was $4.67 million (Q1 2026), $5.37 million (Q4 2025) and $5.06 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Dep. & Amort. (Qtr) |
|---|---|---|---|---|---|
| 1 | Union Pacific | 178.63 Bn | 170.88 Bn | - | 643.00 Mn |
| 2 | Csx | 94.16 Bn | 89.39 Bn | - | 413.00 Mn |
| 3 | United Parcel Service | 83.47 Bn | 60.32 Bn | 22.04 Bn | 965.00 Mn |
| 4 | Canadian Pacific Kansas City | 81.54 Bn | 81.26 Bn | 57.15 Mn | 377.89 Mn |
| 5 | Fedex | 75.60 Bn | 41.80 Bn | 18.84 Bn | 1.13 Bn |
| 6 | Norfolk Southern | 73.66 Bn | 68.13 Bn | - | 363.00 Mn |
| 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 | 90.42 Mn |
| 10 | Flyexclusive | 107.97 Mn | 129.18 Mn | 22.69 Mn | 5.01 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 5.01 Mn |
| Mar 31, 2026 | 4.80 Mn |
| Dec 31, 2025 | 5.49 Mn |
| Sep 30, 2025 | 5.21 Mn |
| Jun 30, 2025 | 5.39 Mn |
| Mar 31, 2025 | 5.93 Mn |
| Dec 31, 2024 | 6.43 Mn |
| Sep 30, 2024 | 6.11 Mn |
| Jun 30, 2024 | 6.68 Mn |
| Mar 31, 2024 | 6.49 Mn |
| Dec 31, 2023 | 6.81 Mn |
| Sep 30, 2023 | 6.70 Mn |
| Jun 30, 2023 | 7.06 Mn |
| Mar 31, 2023 | 6.42 Mn |
API Access
Flyexclusive Depreciation & Amortization (CF) 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=depreciation-and-amortization-cf&ticker=FLYX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "depreciation-and-amortization-cf", "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=depreciation-and-amortization-cf&ticker=FLYX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();