Flyexclusive (FLYX) Total Liabilities (2021 - 2026)
Flyexclusive (FLYX) recorded Total Liabilities of $659.42 million in Q2 2026, down 5.6% from $698.35 million a year earlier and down 0.7% from the prior quarter.
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Analysis
Flyexclusive (FLYX) Total Liabilities (2021 - 2026) Analysis & Trends
At the end of FY2025, Flyexclusive reported Total Liabilities of $766.75 million, up 2.5% from FY2024.
- Annual Total Liabilities has increased for four straight years, with a four-year compound annual growth rate of 44.4% (FY2021 to FY2025).
- Across earlier years, Total Liabilities came in at $748.35 million in FY2024 (+66.2%), $450.18 million in FY2023 (+0.8%), $446.8 million in FY2022 (+153.5%) and $176.28 million in FY2021.
- The Q2 2026 figure is the lowest quarterly Total Liabilities since Q2 2024.
- On a year-over-year basis, Total Liabilities rose in six of the last eight quarters, with growth averaging 133.2%.
- Peak year-over-year performance for Total Liabilities in the last five years was growth of 958.1% in Q3 2024, against a decline of 73.4% in Q3 2023 at the low end.
- Per Business Quant, the preceding three quarters came in at $663.92 million (Q1 2026), $766.75 million (Q4 2025) and $882.79 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Union Pacific | 162.83 Bn | 157.35 Bn | - | 50.54 Bn |
| 2 | Csx | 86.94 Bn | 83.15 Bn | - | 30.64 Bn |
| 3 | Canadian Pacific Kansas City | 76.07 Bn | 75.78 Bn | - | 30.13 Bn |
| 4 | United Parcel Service | 70.39 Bn | 47.31 Bn | - | 56.17 Bn |
| 5 | Norfolk Southern | 70.35 Bn | 64.99 Bn | - | 28.87 Bn |
| 6 | Fedex | 68.01 Bn | 33.95 Bn | - | 67.29 Bn |
| 7 | Delta Air Lines | 55.83 Bn | 38.01 Bn | - | 64.51 Bn |
| 8 | Old Dominion Freight Line | 36.82 Bn | 36.08 Bn | - | 1.19 Bn |
| 9 | Ryanair Holdings | 28.96 Bn | 12.97 Bn | 3.13 Bn | 10.09 Bn |
| 10 | Flyexclusive | 122.43 Mn | 143.56 Mn | 22.69 Mn | 659.42 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 659.42 Mn |
| Mar 31, 2026 | 663.92 Mn |
| Dec 31, 2025 | 766.75 Mn |
| Sep 30, 2025 | 882.79 Mn |
| Jun 30, 2025 | 698.35 Mn |
| Mar 31, 2025 | 732.78 Mn |
| Dec 31, 2024 | 748.35 Mn |
| Sep 30, 2024 | 667.85 Mn |
| Jun 30, 2024 | 632.10 Mn |
| Mar 31, 2024 | 658.36 Mn |
| Dec 31, 2023 | 450.18 Mn |
| Sep 30, 2023 | 63.12 Mn |
| Jun 30, 2023 | 62.89 Mn |
| Mar 31, 2023 | 244.62 Mn |
| Dec 31, 2022 | 446.80 Mn |
| Sep 30, 2022 | 237.25 Mn |
| Jun 30, 2022 | 235.46 Mn |
| Mar 31, 2022 | 235.97 Mn |
| Dec 31, 2021 | 176.28 Mn |
| Sep 30, 2021 | 240.09 Mn |
API Access
Flyexclusive Total 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-liabilities&ticker=FLYX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-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-liabilities&ticker=FLYX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();