Flyexclusive (FLYX) Total Current Liabilities (2021 - 2026)
Flyexclusive (FLYX) recorded Total Current Liabilities of $278.06 million in Q2 2026, up 6.9% from $260.17 million a year earlier but down 0.3% from the prior quarter.
Flyexclusive (FLYX) Total Current Liabilities (2021 - 2026) Analysis & Trends
At the end of FY2025, Flyexclusive reported Total Current Liabilities of $269.95 million, down 8.4% from FY2024.
- Annual Total Current Liabilities has a four-year compound annual growth rate of 424.3% (FY2021 to FY2025).
- Across earlier years, Total Current Liabilities came in at $294.75 million in FY2024 (+33.0%), $221.54 million in FY2023 (+59.7%), $138.7 million in FY2022 and $357,116 in FY2021.
- Quarterly Total Current Liabilities has ranged from $169,743 in Q3 2021 to $294.75 million in Q4 2024 over the past five years.
- On a year-over-year basis, Total Current Liabilities rose in six of the last seven quarters, with growth averaging 13.7%.
- Peak year-over-year performance for Total Current Liabilities in the last five years was growth of 841.6% in Q2 2023, against a decline of 8.4% in Q4 2025 at the low end.
- Per Business Quant, the preceding three quarters came in at $278.96 million (Q1 2026), $269.95 million (Q4 2025) and $275.94 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Union Pacific | 161.62 Bn | 156.15 Bn | - | 5.61 Bn |
| 2 | Csx | 86.16 Bn | 82.37 Bn | - | 4.15 Bn |
| 3 | Canadian Pacific Kansas City | 74.78 Bn | 74.50 Bn | - | 4.20 Bn |
| 4 | United Parcel Service | 70.01 Bn | 46.94 Bn | - | 14.88 Bn |
| 5 | Norfolk Southern | 69.45 Bn | 64.09 Bn | - | 3.37 Bn |
| 6 | Fedex | 67.46 Bn | 33.40 Bn | - | 18.91 Bn |
| 7 | Delta Air Lines | 54.88 Bn | 37.06 Bn | - | 33.60 Bn |
| 8 | Old Dominion Freight Line | 36.07 Bn | 35.33 Bn | - | 531.38 Mn |
| 9 | Ryanair Holdings | 28.71 Bn | 12.72 Bn | 3.13 Bn | 9.13 Bn |
| 10 | Flyexclusive | 119.54 Mn | 140.67 Mn | 22.69 Mn | 278.06 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 278.06 Mn |
| Mar 31, 2026 | 278.96 Mn |
| Dec 31, 2025 | 269.95 Mn |
| Sep 30, 2025 | 275.94 Mn |
| Jun 30, 2025 | 260.17 Mn |
| Mar 31, 2025 | 252.20 Mn |
| Dec 31, 2024 | 294.75 Mn |
| Sep 30, 2024 | 266.14 Mn |
| Jun 30, 2024 | 201.97 Mn |
| Mar 31, 2024 | 207.75 Mn |
| Dec 31, 2023 | 221.54 Mn |
| Sep 30, 2023 | 8.66 Mn |
| Jun 30, 2023 | 7.76 Mn |
| Mar 31, 2023 | 5.55 Mn |
| Dec 31, 2022 | 138.70 Mn |
| Sep 30, 2022 | 2.10 Mn |
| Jun 30, 2022 | 823,577.00 |
| Mar 31, 2022 | 321,930.00 |
| Dec 31, 2021 | 357,116.00 |
| Sep 30, 2021 | 169,743.00 |
Flyexclusive 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=FLYX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-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-current-liabilities&ticker=FLYX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();