Flyexclusive (FLYX) Depreciation and Depletion (2023 - 2026)
Flyexclusive (FLYX) recorded Depreciation and Depletion of $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 and Depletion (2023 - 2026) Analysis & Trends
On a TTM basis, Flyexclusive's Depreciation and Depletion came in at $19.95 million as of Jun 30, 2026, down 10.1% year-over-year; for FY2025, it was $21.4 million, down 9.8% from FY2024.
- Annual Depreciation and Depletion has a three-year compound annual growth rate of -2.5% (FY2022 to FY2025).
- Across earlier years, Depreciation and Depletion came in at $23.74 million in FY2024 (-8.1%), $25.83 million in FY2023 (+11.8%) and $23.11 million in FY2022.
- Quarterly Depreciation and Depletion has ranged from $4.67 million in Q1 2026 to $6.78 million in Q2 2023 over the past five years.
- On a year-over-year basis, Depreciation and Depletion has declined for nine consecutive quarters, with an average decline of 11.3% over the last eight quarters.
- Peak year-over-year performance for Depreciation and Depletion in the last five years was growth of 0.5% in Q1 2024, against a decline of 18.5% in Q1 2026 at the low end.
- Per Business Quant, the preceding three quarters came in at $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. & Depletion (Qtr) |
|---|---|---|---|---|---|
| 1 | Union Pacific | 161.62 Bn | 156.15 Bn | - | 638.00 Mn |
| 2 | Csx | 86.16 Bn | 82.37 Bn | - | - |
| 3 | Canadian Pacific Kansas City | 74.78 Bn | 74.50 Bn | - | - |
| 4 | United Parcel Service | 70.01 Bn | 46.94 Bn | - | - |
| 5 | Norfolk Southern | 69.45 Bn | 64.09 Bn | - | 358.00 Mn |
| 6 | Fedex | 67.46 Bn | 33.40 Bn | - | - |
| 7 | Delta Air Lines | 54.88 Bn | 37.06 Bn | - | - |
| 8 | Old Dominion Freight Line | 36.07 Bn | 35.33 Bn | - | - |
| 9 | Ryanair Holdings | 28.71 Bn | 12.72 Bn | 3.13 Bn | 484.82 Mn |
| 10 | Flyexclusive | 119.54 Mn | 140.67 Mn | 22.69 Mn | 4.86 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 4.86 Mn |
| Mar 31, 2026 | 4.67 Mn |
| Dec 31, 2025 | 5.37 Mn |
| Sep 30, 2025 | 5.06 Mn |
| Jun 30, 2025 | 5.25 Mn |
| Mar 31, 2025 | 5.73 Mn |
| Dec 31, 2024 | 5.45 Mn |
| Sep 30, 2024 | 5.77 Mn |
| Jun 30, 2024 | 6.34 Mn |
| Mar 31, 2024 | 6.18 Mn |
| Dec 31, 2023 | 6.49 Mn |
| Sep 30, 2023 | 6.42 Mn |
| Jun 30, 2023 | 6.78 Mn |
| Mar 31, 2023 | 6.15 Mn |
API Access
Flyexclusive Depreciation and Depletion 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-depletion&ticker=FLYX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "depreciation-and-depletion", "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-depletion&ticker=FLYX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();