Flyte Aviation (VJET) Accumulated Expenses (2017 - 2026)
Flyte Aviation's Accumulated Expenses came in at $1.98 million for Q2 2026, up 29.3% from $1.53 million a year earlier but down 14.8% from the prior quarter.
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Analysis
Flyte Aviation (VJET) Accumulated Expenses (2017 - 2026) Analysis & Trends
At the end of FY2025, Flyte Aviation's Accumulated Expenses was $1.7 million, up 9.6% from FY2024.
- Accumulated Expenses carries a five-year compound annual growth rate of -16.4% (FY2020 to FY2025).
- Going back by year, Accumulated Expenses was $1.55 million in FY2024 (-10.7%), $1.73 million in FY2023 (-76.8%), $7.48 million in FY2022 (+81.7%) and $4.12 million in FY2021 (-0.7%).
- The five-year range for quarterly Accumulated Expenses is $1.5 million (Q3 2024) to $7.48 million (Q4 2022).
- Year-over-year, Accumulated Expenses has increased for four consecutive quarters, with growth averaging 5.9% over the last eight quarters.
- The fastest year-over-year change in Accumulated Expenses over five years came in Q4 2022 (growth of 81.7%), and the weakest in Q4 2023 (a decline of 76.8%).
- Business Quant data shows VJET's Accumulated Expenses at $2.33 million (Q1 2026), $1.7 million (Q4 2025) and $1.56 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 248.14 Bn | 227.16 Bn | 4.88 Bn |
| 2 | Abbott Laboratories | 179.92 Bn | 150.35 Bn | 7.27 Bn |
| 3 | Danaher | 160.81 Bn | 144.62 Bn | 3.61 Bn |
| 4 | Intuitive Surgical | 156.58 Bn | 136.87 Bn | 2.08 Bn |
| 5 | Medtronic | 123.90 Bn | 89.15 Bn | 6.34 Bn |
| 6 | Stryker | 118.03 Bn | 104.15 Bn | 4.50 Bn |
| 7 | Boston Scientific | 67.51 Bn | 62.28 Bn | 3.85 Bn |
| 8 | Becton Dickinson | 54.80 Bn | 51.94 Bn | 2.32 Bn |
| 9 | Edwards Lifesciences | 52.29 Bn | 36.30 Bn | 1.35 Bn |
| 10 | Flyte Aviation | 197,899.63 | -4.25 Mn | 98,000.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.98 Mn |
| Mar 31, 2026 | 2.33 Mn |
| Dec 31, 2025 | 1.70 Mn |
| Sep 30, 2025 | 1.56 Mn |
| Jun 30, 2025 | 1.53 Mn |
| Mar 31, 2025 | 1.74 Mn |
| Dec 31, 2024 | 1.55 Mn |
| Sep 30, 2024 | 1.51 Mn |
| Jun 30, 2024 | 1.74 Mn |
| Mar 31, 2024 | 1.64 Mn |
| Dec 31, 2023 | 1.73 Mn |
| Sep 30, 2023 | 1.78 Mn |
| Jun 30, 2023 | 1.86 Mn |
| Mar 31, 2023 | 3.82 Mn |
| Dec 31, 2022 | 7.48 Mn |
| Sep 30, 2022 | 2.45 Mn |
| Mar 31, 2022 | 2.27 Mn |
| Dec 31, 2021 | 4.12 Mn |
| Sep 30, 2021 | 2.63 Mn |
| Jun 30, 2021 | 2.02 Mn |
API Access
Flyte Aviation Accumulated 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=accumulated-expenses&ticker=VJET&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "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=accumulated-expenses&ticker=VJET&period=max&api_key=YOUR_API_KEY");
const data = await res.json();