Flyte Aviation (VJET) Operating Expenses (2017 - 2026)
Flyte Aviation (VJET) posted Operating Expenses of $4.05 million for Q2 2026, down 17.0% from $4.88 million a year earlier but up 49.7% from the prior quarter.
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Analysis
Flyte Aviation (VJET) Operating Expenses (2017 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Operating Expenses at Flyte Aviation was $20.07 million, up 36.3% year-over-year; for FY2025, it came in at $21.9 million, up 88.4% from FY2024.
- Annual Operating Expenses shows a five-year compound annual growth rate of -8.1% (FY2020 to FY2025).
- In prior years, Flyte Aviation's Operating Expenses was $11.62 million in FY2024 (-85.2%), $78.53 million in FY2023 (+192.9%), $26.81 million in FY2022 (-3.3%) and $27.73 million in FY2021 (-17.2%).
- Quarterly Operating Expenses has run from a low of $2.69 million in Q1 2024 to a high of $66.56 million in Q1 2023 over five years.
- On a year-over-year basis, Operating Expenses increased in six of the last eight quarters, with growth averaging 39.3%.
- The strongest year-over-year quarter for Operating Expenses in the past five years was Q4 2025, with growth of 216.1%; the weakest was Q1 2024, with a decline of 96.0%.
- According to Business Quant data, Operating Expenses for the three prior quarters was $2.71 million (Q1 2026), $10.08 million (Q4 2025) and $3.23 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 254.31 Bn | 233.34 Bn | 4.88 Bn | 9.91 Bn |
| 2 | Abbott Laboratories | 176.98 Bn | 147.41 Bn | 7.27 Bn | 10.90 Bn |
| 3 | Danaher | 164.79 Bn | 148.60 Bn | 3.61 Bn | 2.48 Bn |
| 4 | Intuitive Surgical | 155.89 Bn | 135.31 Bn | 1.96 Bn | 988.50 Mn |
| 5 | Medtronic | 122.92 Bn | 88.18 Bn | 6.34 Bn | 4.06 Bn |
| 6 | Stryker | 118.26 Bn | 104.38 Bn | 4.50 Bn | 2.84 Bn |
| 7 | Boston Scientific | 67.03 Bn | 61.80 Bn | 3.85 Bn | 2.67 Bn |
| 8 | Becton Dickinson | 54.67 Bn | 51.82 Bn | 2.32 Bn | 4.32 Bn |
| 9 | Edwards Lifesciences | 51.63 Bn | 35.63 Bn | 1.35 Bn | 840.10 Mn |
| 10 | Flyte Aviation | 192,586.16 | -4.26 Mn | 98,000.00 | 4.05 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 4.05 Mn |
| Mar 31, 2026 | 2.71 Mn |
| Dec 31, 2025 | 10.08 Mn |
| Sep 30, 2025 | 3.23 Mn |
| Jun 30, 2025 | 4.88 Mn |
| Mar 31, 2025 | 3.71 Mn |
| Dec 31, 2024 | 3.19 Mn |
| Sep 30, 2024 | 2.95 Mn |
| Jun 30, 2024 | 2.79 Mn |
| Mar 31, 2024 | 2.69 Mn |
| Dec 31, 2023 | 2.72 Mn |
| Sep 30, 2023 | 2.86 Mn |
| Jun 30, 2023 | 6.40 Mn |
| Mar 31, 2023 | 66.56 Mn |
| Dec 31, 2022 | 8.22 Mn |
| Sep 30, 2022 | 4.78 Mn |
| Jun 30, 2022 | 8.40 Mn |
| Mar 31, 2022 | 5.42 Mn |
| Dec 31, 2021 | 7.92 Mn |
| Sep 30, 2021 | 7.15 Mn |
API Access
Flyte Aviation 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=VJET&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-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=operating-expenses&ticker=VJET&period=max&api_key=YOUR_API_KEY");
const data = await res.json();