Flyexclusive (FLYX) Other Non-Current Liabilities (2021 - 2026)
Flyexclusive (FLYX) posted Other Non-Current Liabilities of $55.75 million for Q2 2026, up 51.9% from $36.72 million a year earlier and up 4.3% from the prior quarter.
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Analysis
Flyexclusive (FLYX) Other Non-Current Liabilities (2021 - 2026) Analysis & Trends
At the end of FY2025, Flyexclusive's Other Non-Current Liabilities came in at $47.14 million, up 55.4% from FY2024.
- Annual Other Non-Current Liabilities shows a four-year compound annual growth rate of 59.0% (FY2021 to FY2025).
- In prior years, Flyexclusive's Other Non-Current Liabilities was $30.34 million in FY2024 (+81.6%), $16.71 million in FY2023 (-59.7%), $41.5 million in FY2022 (+462.1%) and $7.38 million in FY2021.
- The Q2 2026 figure stands as the highest quarterly Other Non-Current Liabilities in data going back to Q2 2021.
- On a year-over-year basis, Other Non-Current Liabilities has increased in each of the last seven quarters, with growth averaging 65.1% over the last seven quarters.
- The strongest year-over-year quarter for Other Non-Current Liabilities in the past five years was Q1 2024, with growth of 813.7%; the weakest was Q2 2022, with a decline of 84.0%.
- According to Business Quant data, Other Non-Current Liabilities for the three prior quarters was $53.45 million (Q1 2026), $47.14 million (Q4 2025) and $39.71 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Union Pacific | 170.65 Bn | 165.18 Bn | - |
| 2 | Csx | 89.70 Bn | 85.91 Bn | - |
| 3 | United Parcel Service | 84.71 Bn | 61.60 Bn | - |
| 4 | Canadian Pacific Kansas City | 78.00 Bn | 77.02 Bn | - |
| 5 | Norfolk Southern | 73.24 Bn | 67.88 Bn | - |
| 6 | Fedex | 70.67 Bn | 36.62 Bn | - |
| 7 | Delta Air Lines | 50.97 Bn | 33.15 Bn | - |
| 8 | Old Dominion Freight Line | 39.24 Bn | 38.51 Bn | - |
| 9 | United Airlines Holdings | 32.98 Bn | -23.39 Bn | - |
| 10 | Flyexclusive | 60.33 Mn | -20.60 Mn | 22.69 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 55.75 Mn |
| Mar 31, 2026 | 53.45 Mn |
| Dec 31, 2025 | 47.14 Mn |
| Sep 30, 2025 | 39.71 Mn |
| Jun 30, 2025 | 36.72 Mn |
| Mar 31, 2025 | 33.26 Mn |
| Dec 31, 2024 | 30.34 Mn |
| Sep 30, 2024 | 26.87 Mn |
| Jun 30, 2024 | 28.33 Mn |
| Mar 31, 2024 | 23.28 Mn |
| Dec 31, 2023 | 19.22 Mn |
| Sep 30, 2023 | 2.02 Mn |
| Jun 30, 2023 | 3.60 Mn |
| Mar 31, 2023 | 2.07 Mn |
| Dec 31, 2022 | 42.47 Mn |
| Sep 30, 2022 | 1.48 Mn |
| Jun 30, 2022 | 1.73 Mn |
| Mar 31, 2022 | 2.74 Mn |
| Dec 31, 2021 | 7.38 Mn |
| Sep 30, 2021 | 7.04 Mn |
API Access
Flyexclusive Other 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=other-non-current-liabilities&ticker=FLYX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-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=other-non-current-liabilities&ticker=FLYX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();