Flyte Aviation (VJET) Total Non-Current Liabilities (2017 - 2026)
Flyte Aviation's Total Non-Current Liabilities was $18.52 million in Q2 2026, up 148.0% from $7.47 million a year earlier but down 26.3% from the prior quarter.
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Analysis
Flyte Aviation (VJET) Total Non-Current Liabilities (2017 - 2026) Analysis & Trends
At the end of FY2025, Total Non-Current Liabilities at Flyte Aviation came in at $8.01 million, up 15.4% from FY2024.
- In earlier years, Total Non-Current Liabilities was $6.95 million in FY2024 (+170.3%) and $2.57 million in FY2023.
- Quarterly Total Non-Current Liabilities has moved between $2.44 million (Q1 2024) and $25.14 million (Q1 2026) over five years.
- Compared with a year earlier, Total Non-Current Liabilities has increased for seven straight quarters, with growth averaging 117.3% over the last eight quarters.
- The best year-over-year quarter for Total Non-Current Liabilities over five years was Q1 2026 (growth of 286.2%); the worst was Q2 2024 (a decline of 71.3%).
- Per Business Quant data, VJET's Total Non-Current Liabilities in the three quarters before Q2 2026 was $25.14 million (Q1 2026), $8.01 million (Q4 2025) and $7.95 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 266.22 Bn | 242.86 Bn | 5.13 Bn | 54.88 Bn |
| 2 | Abbott Laboratories | 191.31 Bn | 165.77 Bn | 7.39 Bn | - |
| 3 | Danaher | 166.16 Bn | 145.82 Bn | 3.84 Bn | 33.44 Bn |
| 4 | Intuitive Surgical | 155.98 Bn | 136.40 Bn | 2.08 Bn | 2.53 Bn |
| 5 | Medtronic | 130.05 Bn | 96.18 Bn | 6.34 Bn | 38.93 Bn |
| 6 | Stryker | 123.40 Bn | 109.59 Bn | 4.25 Bn | 20.68 Bn |
| 7 | Boston Scientific | 64.81 Bn | 60.48 Bn | 3.43 Bn | 17.15 Bn |
| 8 | Edwards Lifesciences | 59.87 Bn | 43.18 Bn | 1.35 Bn | 2.26 Bn |
| 9 | Medline | 53.84 Bn | 50.96 Bn | 1.93 Bn | 17.66 Bn |
| 10 | Flyte Aviation | 160,511.52 | -4.71 Mn | 98,000.00 | 18.52 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 18.52 Mn |
| Mar 31, 2026 | 25.14 Mn |
| Dec 31, 2025 | 8.01 Mn |
| Sep 30, 2025 | 7.95 Mn |
| Jun 30, 2025 | 7.47 Mn |
| Mar 31, 2025 | 6.51 Mn |
| Dec 31, 2024 | 6.95 Mn |
| Sep 30, 2024 | 4.12 Mn |
| Jun 30, 2024 | 3.37 Mn |
| Mar 31, 2024 | 2.44 Mn |
| Dec 31, 2023 | 2.57 Mn |
| Sep 30, 2023 | 11.00 Mn |
| Jun 30, 2023 | 11.74 Mn |
| Dec 31, 2018 | 7.25 Mn |
| Sep 30, 2018 | 7.60 Mn |
| Dec 31, 2017 | 18.80 Mn |
API Access
Flyte Aviation Total Non-Current Liabilities 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=total-non-current-liabilities&ticker=VJET&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "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=total-non-current-liabilities&ticker=VJET&period=max&api_key=YOUR_API_KEY");
const data = await res.json();