Global Crossing Airlines (JETMF) Cash & Equivalents (2021 - 2026)
Global Crossing Airlines (JETMF) recorded Cash & Equivalents of $9.93 million in Q2 2026, down 26.2% from $13.45 million a year earlier and down 41.3% from the prior quarter.
Global Crossing Airlines (JETMF) Cash & Equivalents (2021 - 2026) Analysis & Trends
At the end of FY2025, Global Crossing Airlines reported Cash & Equivalents of $16.69 million, up 35.2% from FY2024.
- Annual Cash & Equivalents has increased for three straight years, with a four-year compound annual growth rate of 33.6% (FY2021 to FY2025).
- Across earlier years, Cash & Equivalents came in at $12.35 million in FY2024 (+6.5%), $11.6 million in FY2023 (+518.2%), $1.88 million in FY2022 (-64.2%) and $5.24 million in FY2021.
- Quarterly Cash & Equivalents has ranged from $1.52 million in Q2 2022 to $16.92 million in Q1 2026 over the past five years.
- On a year-over-year basis, Cash & Equivalents rose in four of the last eight quarters, with growth averaging 19.6%.
- Peak year-over-year performance for Cash & Equivalents in the last five years was growth of 518.2% in Q4 2023, against a decline of 74.1% in Q1 2023 at the low end.
- Per Business Quant, the preceding three quarters came in at $16.92 million (Q1 2026), $16.69 million (Q4 2025) and $7.06 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Union Pacific | 161.79 Bn | 156.31 Bn | - | 1.61 Bn |
| 2 | Csx | 86.21 Bn | 82.43 Bn | - | 1.01 Bn |
| 3 | Canadian Pacific Kansas City | 74.26 Bn | 73.97 Bn | - | 264.59 Mn |
| 4 | United Parcel Service | 70.36 Bn | 47.28 Bn | - | 4.65 Bn |
| 5 | Norfolk Southern | 69.74 Bn | 64.38 Bn | - | 1.07 Bn |
| 6 | Fedex | 67.91 Bn | 33.85 Bn | - | 13.31 Bn |
| 7 | Delta Air Lines | 55.33 Bn | 37.51 Bn | - | 4.67 Bn |
| 8 | Old Dominion Freight Line | 36.95 Bn | 36.21 Bn | - | 283.94 Mn |
| 9 | United Airlines Holdings | 36.28 Bn | -20.09 Bn | - | 10.17 Bn |
| 10 | Global Crossing Airlines | 39.63 Mn | -10.87 Mn | - | 9.93 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 9.93 Mn |
| Mar 31, 2026 | 16.92 Mn |
| Dec 31, 2025 | 16.69 Mn |
| Sep 30, 2025 | 7.06 Mn |
| Jun 30, 2025 | 13.45 Mn |
| Mar 31, 2025 | 7.29 Mn |
| Dec 31, 2024 | 12.35 Mn |
| Sep 30, 2024 | 7.07 Mn |
| Jun 30, 2024 | 8.05 Mn |
| Mar 31, 2024 | 8.30 Mn |
| Dec 31, 2023 | 11.60 Mn |
| Sep 30, 2023 | 13.04 Mn |
| Jun 30, 2023 | 4.16 Mn |
| Mar 31, 2023 | 2.20 Mn |
| Dec 31, 2022 | 1.88 Mn |
| Sep 30, 2022 | 2.88 Mn |
| Jun 30, 2022 | 1.52 Mn |
| Mar 31, 2022 | 8.48 Mn |
| Dec 31, 2021 | 5.24 Mn |
Global Crossing Airlines Cash & Equivalents 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=cash-and-equivalents&ticker=JETMF&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=JETMF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();