Global Crossing Airlines (JETMF) Capital Expenditures (2021 - 2026)
Global Crossing Airlines (JETMF) reported Capital Expenditures of $2.48 million for Q2 2026, down 7.9% from $2.69 million a year earlier and down 32.9% from the prior quarter.
Global Crossing Airlines (JETMF) Capital Expenditures (2021 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Global Crossing Airlines' Capital Expenditures came in at $12.35 million, up 36.6% year-over-year; for FY2025, it came in at $11.6 million, up 60.8% from FY2024.
- Capital Expenditures has increased for four consecutive years, with a four-year compound annual growth rate of 105.3% (FY2021 to FY2025).
- By year, Capital Expenditures came in at $7.22 million in FY2024 (+78.6%), $4.04 million in FY2023 (+111.4%), $1.91 million in FY2022 (+192.9%) and $652,750 in FY2021.
- Five-year quarterly Capital Expenditures spans a low of -$887,000 in Q3 2023 and a high of $4.62 million in Q3 2025.
- Year over year, Capital Expenditures gained in five of the last seven quarters, with growth averaging 49.1%.
- The high point for year-over-year Capital Expenditures in five years was Q1 2024 (growth of 459.3%); the low point was Q4 2025 (a decline of 29.7%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $3.69 million (Q1 2026), $1.56 million (Q4 2025) and $4.62 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Capex (Qtr) |
|---|---|---|---|---|---|
| 1 | Union Pacific | 162.83 Bn | 157.35 Bn | - | 873.00 Mn |
| 2 | Csx | 86.94 Bn | 83.15 Bn | - | 576.00 Mn |
| 3 | Canadian Pacific Kansas City | 76.07 Bn | 75.78 Bn | - | 547.98 Mn |
| 4 | United Parcel Service | 70.39 Bn | 47.31 Bn | - | 693.00 Mn |
| 5 | Norfolk Southern | 70.35 Bn | 64.99 Bn | - | 439.00 Mn |
| 6 | Fedex | 68.01 Bn | 33.95 Bn | - | 1.47 Bn |
| 7 | Delta Air Lines | 55.83 Bn | 38.01 Bn | - | -786.00 Mn |
| 8 | Old Dominion Freight Line | 36.82 Bn | 36.08 Bn | - | 77.04 Mn |
| 9 | Ryanair Holdings | 28.96 Bn | 12.97 Bn | 3.13 Bn | -551.77 Mn |
| 10 | Global Crossing Airlines | 40.30 Mn | -10.20 Mn | - | 2.48 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.48 Mn |
| Mar 31, 2026 | 3.69 Mn |
| Dec 31, 2025 | 1.56 Mn |
| Sep 30, 2025 | 4.62 Mn |
| Jun 30, 2025 | 2.69 Mn |
| Mar 31, 2025 | 2.73 Mn |
| Dec 31, 2024 | 2.22 Mn |
| Sep 30, 2024 | 1.40 Mn |
| Jun 30, 2024 | 1.89 Mn |
| Mar 31, 2024 | 1.72 Mn |
| Dec 31, 2023 | 1.96 Mn |
| Sep 30, 2023 | -887,000.00 |
| Jun 30, 2023 | 2.66 Mn |
| Mar 31, 2023 | 307,000.00 |
| Dec 31, 2022 | 786,957.00 |
| Sep 30, 2022 | 260,937.00 |
| Jun 30, 2022 | 590,744.00 |
| Mar 31, 2022 | 273,031.00 |
| Dec 31, 2021 | 146,734.00 |
| Sep 30, 2021 | 196,503.00 |
Global Crossing Airlines Capital Expenditures 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=capital-expenditures&ticker=JETMF&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "capital-expenditures", "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=capital-expenditures&ticker=JETMF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();