Global Crossing Airlines (JETMF) Total Liabilities (2021 - 2026)
Global Crossing Airlines (JETMF) reported Total Liabilities of $231.53 million for Q2 2026, up 20.3% from $192.42 million a year earlier and unchanged from the prior quarter.
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Analysis
Global Crossing Airlines (JETMF) Total Liabilities (2021 - 2026) Analysis & Trends
At the end of FY2025, Global Crossing Airlines posted Total Liabilities of $232.58 million, up 18.5% from FY2024.
- Total Liabilities has increased for four consecutive years, with a four-year compound annual growth rate of 60.8% (FY2021 to FY2025).
- By year, Total Liabilities came in at $196.21 million in FY2024 (+29.8%), $151.2 million in FY2023 (+158.8%), $58.42 million in FY2022 (+67.7%) and $34.83 million in FY2021.
- Five-year quarterly Total Liabilities spans a low of $34.83 million in Q4 2021 and a high of $232.58 million in Q4 2025.
- Year over year, Total Liabilities has now increased in each of the last 15 quarters, with growth averaging 20.2% over the last eight quarters.
- Across the past five years, year-over-year growth in Total Liabilities ran from 3.7% in Q3 2025 to 158.8% in Q4 2023.
- Per Business Quant data, the three quarters before Q2 2026 came in at $231.43 million (Q1 2026), $232.58 million (Q4 2025) and $199.12 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Union Pacific | 162.85 Bn | 157.37 Bn | - | 50.54 Bn |
| 2 | Csx | 86.62 Bn | 82.84 Bn | - | 30.64 Bn |
| 3 | Canadian Pacific Kansas City | 76.11 Bn | 75.83 Bn | - | 30.13 Bn |
| 4 | United Parcel Service | 70.66 Bn | 47.58 Bn | - | 56.17 Bn |
| 5 | Norfolk Southern | 70.32 Bn | 64.96 Bn | - | 28.87 Bn |
| 6 | Fedex | 68.53 Bn | 34.48 Bn | - | 67.29 Bn |
| 7 | Delta Air Lines | 55.25 Bn | 37.43 Bn | - | 64.51 Bn |
| 8 | Old Dominion Freight Line | 36.69 Bn | 35.95 Bn | - | 1.19 Bn |
| 9 | Ryanair Holdings | 28.78 Bn | 12.78 Bn | 3.13 Bn | 10.09 Bn |
| 10 | Global Crossing Airlines | 39.63 Mn | -10.87 Mn | - | 231.53 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 231.53 Mn |
| Mar 31, 2026 | 231.43 Mn |
| Dec 31, 2025 | 232.58 Mn |
| Sep 30, 2025 | 199.12 Mn |
| Jun 30, 2025 | 192.42 Mn |
| Mar 31, 2025 | 193.72 Mn |
| Dec 31, 2024 | 196.21 Mn |
| Sep 30, 2024 | 192.07 Mn |
| Jun 30, 2024 | 178.44 Mn |
| Mar 31, 2024 | 176.37 Mn |
| Dec 31, 2023 | 151.20 Mn |
| Sep 30, 2023 | 126.33 Mn |
| Jun 30, 2023 | 113.20 Mn |
| Mar 31, 2023 | 82.03 Mn |
| Dec 31, 2022 | 58.42 Mn |
| Sep 30, 2022 | 53.49 Mn |
| Jun 30, 2022 | 47.41 Mn |
| Mar 31, 2022 | 41.50 Mn |
| Dec 31, 2021 | 34.83 Mn |
API Access
Global Crossing Airlines 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=JETMF&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-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-liabilities&ticker=JETMF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();