Flyte Aviation (VJET) Other Operating Expenses (2023 - 2025)
Flyte Aviation's Other Operating Expenses came in at $7 million for Q4 2025, up 63.2% from $4.29 million a year earlier.
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Analysis
Flyte Aviation (VJET) Other Operating Expenses (2023 - 2025) Analysis & Trends
For FY2025, Flyte Aviation's Other Operating Expenses was $8.96 million, up 513.0% from FY2024.
- Going back by year, Other Operating Expenses was $1.46 million in FY2024 (+2.8%) and $1.42 million in FY2023.
- The Q4 2025 figure represents the highest quarterly Other Operating Expenses in data going back to Q1 2023.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 254.31 Bn | 233.34 Bn | 4.88 Bn |
| 2 | Abbott Laboratories | 176.98 Bn | 147.41 Bn | 7.27 Bn |
| 3 | Danaher | 164.79 Bn | 148.60 Bn | 3.61 Bn |
| 4 | Intuitive Surgical | 155.89 Bn | 135.31 Bn | 1.96 Bn |
| 5 | Medtronic | 122.92 Bn | 88.18 Bn | 6.34 Bn |
| 6 | Stryker | 118.26 Bn | 104.38 Bn | 4.50 Bn |
| 7 | Boston Scientific | 67.03 Bn | 61.80 Bn | 3.85 Bn |
| 8 | Becton Dickinson | 54.67 Bn | 51.82 Bn | 2.32 Bn |
| 9 | Edwards Lifesciences | 51.63 Bn | 35.63 Bn | 1.35 Bn |
| 10 | Flyte Aviation | 192,586.16 | -4.26 Mn | 98,000.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 7.00 Mn |
| Jun 30, 2025 | 1.85 Mn |
| Mar 31, 2025 | 392,000.00 |
| Dec 31, 2024 | 4.29 Mn |
| Sep 30, 2024 | -1.26 Mn |
| Jun 30, 2024 | -1.50 Mn |
| Mar 31, 2024 | 375,000.00 |
| Dec 31, 2023 | -4.20 Mn |
| Sep 30, 2023 | 803,000.00 |
| Jun 30, 2023 | 4.73 Mn |
| Mar 31, 2023 | 84,000.00 |
API Access
Flyte Aviation Other 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=other-operating-expenses&ticker=VJET&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-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=other-operating-expenses&ticker=VJET&period=max&api_key=YOUR_API_KEY");
const data = await res.json();