Flyexclusive (FLYX) Total Non-Current Liabilities (2021 - 2026)
Flyexclusive (FLYX) posted Total Non-Current Liabilities of $603.67 million for Q2 2026, down 8.8% from $661.63 million a year earlier and down 1.1% from the prior quarter.
Flyexclusive (FLYX) Total Non-Current Liabilities (2021 - 2026) Analysis & Trends
At the end of FY2025, Flyexclusive's Total Non-Current Liabilities came in at $719.61 million, up 0.2% from FY2024.
- Annual Total Non-Current Liabilities has increased for four consecutive years, with a four-year compound annual growth rate of 43.7% (FY2021 to FY2025).
- In prior years, Flyexclusive's Total Non-Current Liabilities was $718.01 million in FY2024 (+65.6%), $433.46 million in FY2023 (+6.9%), $405.3 million in FY2022 (+140.0%) and $168.9 million in FY2021.
- The Q2 2026 figure stands as the lowest quarterly Total Non-Current Liabilities since Q4 2023.
- On a year-over-year basis, Total Non-Current Liabilities increased in six of the last eight quarters, with growth averaging 131.0%.
- The strongest year-over-year quarter for Total Non-Current Liabilities in the past five years was Q3 2024, with growth of 955.2%; the weakest was Q2 2023, with a decline of 74.6%.
- According to Business Quant data, Total Non-Current Liabilities for the three prior quarters was $610.47 million (Q1 2026), $719.61 million (Q4 2025) and $843.08 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Union Pacific | 162.83 Bn | 157.35 Bn | - | 48.79 Bn |
| 2 | Csx | 86.94 Bn | 83.15 Bn | - | 30.11 Bn |
| 3 | Canadian Pacific Kansas City | 76.07 Bn | 75.78 Bn | - | 29.47 Bn |
| 4 | United Parcel Service | 70.39 Bn | 47.31 Bn | - | 52.41 Bn |
| 5 | Norfolk Southern | 70.35 Bn | 64.99 Bn | - | 27.16 Bn |
| 6 | Fedex | 68.01 Bn | 33.95 Bn | - | 62.88 Bn |
| 7 | Delta Air Lines | 55.83 Bn | 38.01 Bn | - | 30.90 Bn |
| 8 | Old Dominion Freight Line | 36.82 Bn | 36.08 Bn | - | 656.79 Mn |
| 9 | Ryanair Holdings | 28.96 Bn | 12.97 Bn | 3.13 Bn | 151.69 Mn |
| 10 | Flyexclusive | 122.43 Mn | 143.56 Mn | 22.69 Mn | 603.67 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 603.67 Mn |
| Mar 31, 2026 | 610.47 Mn |
| Dec 31, 2025 | 719.61 Mn |
| Sep 30, 2025 | 843.08 Mn |
| Jun 30, 2025 | 661.63 Mn |
| Mar 31, 2025 | 699.52 Mn |
| Dec 31, 2024 | 718.01 Mn |
| Sep 30, 2024 | 644.71 Mn |
| Jun 30, 2024 | 609.00 Mn |
| Mar 31, 2024 | 639.44 Mn |
| Dec 31, 2023 | 433.46 Mn |
| Sep 30, 2023 | 61.10 Mn |
| Jun 30, 2023 | 59.30 Mn |
| Mar 31, 2023 | 242.55 Mn |
| Dec 31, 2022 | 405.30 Mn |
| Sep 30, 2022 | 235.77 Mn |
| Jun 30, 2022 | 233.73 Mn |
| Mar 31, 2022 | 233.23 Mn |
| Dec 31, 2021 | 168.90 Mn |
| Sep 30, 2021 | 233.05 Mn |
Flyexclusive 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=FLYX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "ticker": "FLYX", "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=FLYX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();