Flyte Aviation (VJET) Depreciation and Depletion (2017 - 2026)
Flyte Aviation's Depreciation and Depletion was $21,000 in Q2 2026, up 16.7% from $18,000 a year earlier and up 50.0% from the prior quarter.
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Analysis
Flyte Aviation (VJET) Depreciation and Depletion (2017 - 2026) Analysis & Trends
On a trailing twelve-month basis, Flyte Aviation's Depreciation and Depletion was $69,000 through Jun 30, 2026, down 10.4% year-over-year; for FY2025, it came in at $72,000, up 10.8% from FY2024.
- Depreciation and Depletion shows a five-year compound annual growth rate of -46.2% (FY2020 to FY2025).
- In earlier years, Depreciation and Depletion was $65,000 in FY2024 (+103.1%), $32,000 in FY2023 (-82.1%), $179,000 in FY2022 (-82.1%) and $1 million in FY2021 (-37.5%).
- The Q2 2026 figure marks the highest quarterly Depreciation and Depletion since Q2 2022.
- Compared with a year earlier, Depreciation and Depletion was higher in five of the last eight quarters, with growth averaging 50.9%.
- The best year-over-year quarter for Depreciation and Depletion over five years was Q4 2024 (growth of 233.3%); the worst was Q1 2023 (a decline of 93.9%).
- Per Business Quant data, VJET's Depreciation and Depletion in the three quarters before Q2 2026 was $14,000 (Q1 2026), $17,000 (Q4 2025) and $17,000 (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Dep. & Depletion (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 250.71 Bn | 229.74 Bn | 4.88 Bn | 331.00 Mn |
| 2 | Abbott Laboratories | 178.38 Bn | 148.81 Bn | 7.27 Bn | 402.00 Mn |
| 3 | Danaher | 161.61 Bn | 145.42 Bn | 3.61 Bn | 196.00 Mn |
| 4 | Intuitive Surgical | 154.15 Bn | 134.44 Bn | 2.08 Bn | - |
| 5 | Medtronic | 123.21 Bn | 88.46 Bn | 6.34 Bn | 317.00 Mn |
| 6 | Stryker | 117.50 Bn | 103.61 Bn | 4.50 Bn | 121.00 Mn |
| 7 | Boston Scientific | 67.50 Bn | 62.26 Bn | 3.85 Bn | 122.00 Mn |
| 8 | Becton Dickinson | 54.80 Bn | 51.95 Bn | 2.32 Bn | - |
| 9 | Edwards Lifesciences | 51.78 Bn | 35.79 Bn | 1.35 Bn | - |
| 10 | Flyte Aviation | 190,344.52 | -4.26 Mn | 98,000.00 | 21,000.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 21,000.00 |
| Mar 31, 2026 | 14,000.00 |
| Dec 31, 2025 | 17,000.00 |
| Sep 30, 2025 | 17,000.00 |
| Jun 30, 2025 | 18,000.00 |
| Mar 31, 2025 | 20,000.00 |
| Dec 31, 2024 | 20,000.00 |
| Sep 30, 2024 | 19,000.00 |
| Jun 30, 2024 | 15,000.00 |
| Mar 31, 2024 | 11,000.00 |
| Dec 31, 2023 | 6,000.00 |
| Sep 30, 2023 | 9,000.00 |
| Jun 30, 2023 | 9,000.00 |
| Mar 31, 2023 | 7,000.00 |
| Jun 30, 2022 | 63,000.00 |
| Mar 31, 2022 | 115,000.00 |
| Dec 31, 2021 | 300,000.00 |
| Sep 30, 2021 | 200,000.00 |
| Jun 30, 2021 | 300,000.00 |
| Mar 31, 2021 | 400,000.00 |
API Access
Flyte Aviation 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=VJET&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "depreciation-and-depletion", "ticker": "VJET", "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=VJET&period=max&api_key=YOUR_API_KEY");
const data = await res.json();