Flyte Aviation (VJET) Total Current Liabilities (2017 - 2026)
Flyte Aviation (VJET) recorded Total Current Liabilities of $13.45 million in Q2 2026, up 189.8% from $4.64 million a year earlier but down 31.8% from the prior quarter.
Flyte Aviation (VJET) Total Current Liabilities (2017 - 2026) Analysis & Trends
At the end of FY2025, Flyte Aviation reported Total Current Liabilities of $3.91 million, up 75.2% from FY2024.
- Annual Total Current Liabilities has a five-year compound annual growth rate of -12.8% (FY2020 to FY2025).
- Across earlier years, Total Current Liabilities came in at $2.23 million in FY2024 (-9.8%), $2.47 million in FY2023 (-67.4%), $7.58 million in FY2022 (+40.6%) and $5.39 million in FY2021 (-30.6%).
- Quarterly Total Current Liabilities has ranged from $2.04 million in Q3 2023 to $19.74 million in Q1 2026 over the past five years.
- On a year-over-year basis, Total Current Liabilities has increased for six consecutive quarters, with growth averaging 110.6% over the last eight quarters.
- Peak year-over-year performance for Total Current Liabilities in the last five years was growth of 382.7% in Q1 2026, against a decline of 67.4% in Q4 2023 at the low end.
- Per Business Quant, the preceding three quarters came in at $19.74 million (Q1 2026), $3.91 million (Q4 2025) and $5.33 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 250.71 Bn | 229.74 Bn | 4.88 Bn | 15.07 Bn |
| 2 | Abbott Laboratories | 178.38 Bn | 148.81 Bn | 7.27 Bn | 17.81 Bn |
| 3 | Danaher | 161.61 Bn | 145.42 Bn | 3.61 Bn | 8.11 Bn |
| 4 | Intuitive Surgical | 154.15 Bn | 134.44 Bn | 2.08 Bn | 2.53 Bn |
| 5 | Medtronic | 123.21 Bn | 88.46 Bn | 6.34 Bn | 11.80 Bn |
| 6 | Stryker | 117.50 Bn | 103.61 Bn | 4.50 Bn | 6.68 Bn |
| 7 | Boston Scientific | 67.50 Bn | 62.26 Bn | 3.85 Bn | 6.43 Bn |
| 8 | Becton Dickinson | 54.80 Bn | 51.95 Bn | 2.32 Bn | 9.40 Bn |
| 9 | Edwards Lifesciences | 51.78 Bn | 35.79 Bn | 1.35 Bn | 1.51 Bn |
| 10 | Flyte Aviation | 190,344.52 | -4.26 Mn | 98,000.00 | 13.45 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 13.45 Mn |
| Mar 31, 2026 | 19.74 Mn |
| Dec 31, 2025 | 3.91 Mn |
| Sep 30, 2025 | 5.33 Mn |
| Jun 30, 2025 | 4.64 Mn |
| Mar 31, 2025 | 4.09 Mn |
| Dec 31, 2024 | 2.23 Mn |
| Sep 30, 2024 | 2.59 Mn |
| Jun 30, 2024 | 3.32 Mn |
| Mar 31, 2024 | 2.35 Mn |
| Dec 31, 2023 | 2.47 Mn |
| Sep 30, 2023 | 2.04 Mn |
| Jun 30, 2023 | 2.04 Mn |
| Mar 31, 2023 | 4.45 Mn |
| Dec 31, 2022 | 7.58 Mn |
| Sep 30, 2022 | 3.22 Mn |
| Mar 31, 2022 | 3.74 Mn |
| Dec 31, 2021 | 5.39 Mn |
| Sep 30, 2021 | 3.48 Mn |
| Jun 30, 2021 | 5.21 Mn |
Flyte Aviation Total 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-current-liabilities&ticker=VJET&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-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-current-liabilities&ticker=VJET&period=max&api_key=YOUR_API_KEY");
const data = await res.json();