Global Crossing Airlines (JETMF) Total Current Liabilities (2021 - 2026)
Global Crossing Airlines (JETMF) posted Total Current Liabilities of $89.69 million for Q2 2026, up 27.1% from $70.58 million a year earlier but down 3.3% from the prior quarter.
Global Crossing Airlines (JETMF) Total Current Liabilities (2021 - 2026) Analysis & Trends
At the end of FY2025, Global Crossing Airlines' Total Current Liabilities came in at $91.71 million, up 39.2% from FY2024.
- Annual Total Current Liabilities has increased for four consecutive years, with a four-year compound annual growth rate of 58.0% (FY2021 to FY2025).
- In prior years, Global Crossing Airlines' Total Current Liabilities was $65.88 million in FY2024 (+24.2%), $53.03 million in FY2023 (+90.3%), $27.87 million in FY2022 (+89.5%) and $14.7 million in FY2021.
- Quarterly Total Current Liabilities has run from a low of $14.7 million in Q4 2021 to a high of $92.75 million in Q1 2026 over five years.
- On a year-over-year basis, Total Current Liabilities has increased in each of the last eight quarters, with growth averaging 31.6% over the last eight quarters.
- The strongest year-over-year quarter for Total Current Liabilities in the past five years was Q2 2023, with growth of 148.9%; the weakest was Q2 2024, with a decline of 6.9%.
- According to Business Quant data, Total Current Liabilities for the three prior quarters was $92.75 million (Q1 2026), $91.71 million (Q4 2025) and $70.56 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Union Pacific | 162.85 Bn | 157.37 Bn | - | 5.61 Bn |
| 2 | Csx | 86.62 Bn | 82.84 Bn | - | 4.15 Bn |
| 3 | Canadian Pacific Kansas City | 76.11 Bn | 75.83 Bn | - | 4.20 Bn |
| 4 | United Parcel Service | 70.66 Bn | 47.58 Bn | - | 14.88 Bn |
| 5 | Norfolk Southern | 70.32 Bn | 64.96 Bn | - | 3.37 Bn |
| 6 | Fedex | 68.53 Bn | 34.48 Bn | - | 18.91 Bn |
| 7 | Delta Air Lines | 55.25 Bn | 37.43 Bn | - | 33.60 Bn |
| 8 | Old Dominion Freight Line | 36.69 Bn | 35.95 Bn | - | 531.38 Mn |
| 9 | Ryanair Holdings | 28.78 Bn | 12.78 Bn | 3.13 Bn | 9.13 Bn |
| 10 | Global Crossing Airlines | 39.63 Mn | -10.87 Mn | - | 89.69 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 89.69 Mn |
| Mar 31, 2026 | 92.75 Mn |
| Dec 31, 2025 | 91.71 Mn |
| Sep 30, 2025 | 70.56 Mn |
| Jun 30, 2025 | 70.58 Mn |
| Mar 31, 2025 | 66.75 Mn |
| Dec 31, 2024 | 65.88 Mn |
| Sep 30, 2024 | 56.99 Mn |
| Jun 30, 2024 | 51.07 Mn |
| Mar 31, 2024 | 52.20 Mn |
| Dec 31, 2023 | 53.03 Mn |
| Sep 30, 2023 | 42.61 Mn |
| Jun 30, 2023 | 54.83 Mn |
| Mar 31, 2023 | 34.14 Mn |
| Dec 31, 2022 | 27.87 Mn |
| Sep 30, 2022 | 26.97 Mn |
| Jun 30, 2022 | 22.03 Mn |
| Mar 31, 2022 | 18.77 Mn |
| Dec 31, 2021 | 14.70 Mn |
Global Crossing Airlines 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=JETMF&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-current-liabilities", "ticker": "JETMF", "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=JETMF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();