Global Crossing Airlines (JETMF) Accumulated Expenses (2021 - 2026)
Global Crossing Airlines (JETMF) posted Accumulated Expenses of $37.14 million for Q2 2026, up 36.3% from $27.25 million a year earlier and up 0.4% from the prior quarter.
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Analysis
Global Crossing Airlines (JETMF) Accumulated Expenses (2021 - 2026) Analysis & Trends
At the end of FY2025, Global Crossing Airlines' Accumulated Expenses came in at $28.95 million, up 41.8% from FY2024.
- Annual Accumulated Expenses has increased for four consecutive years, with a four-year compound annual growth rate of 61.8% (FY2021 to FY2025).
- In prior years, Global Crossing Airlines' Accumulated Expenses was $20.42 million in FY2024 (+16.9%), $17.47 million in FY2023 (+84.6%), $9.46 million in FY2022 (+124.2%) and $4.22 million in FY2021.
- The Q2 2026 figure stands as the highest quarterly Accumulated Expenses in data going back to Q4 2021.
- On a year-over-year basis, Accumulated Expenses has increased in each of the last 15 quarters, with growth averaging 38.3% over the last eight quarters.
- The year-over-year growth in Accumulated Expenses has ranged between 13.7% (Q3 2024) and 268.6% (Q2 2023) over the last five years.
- According to Business Quant data, Accumulated Expenses for the three prior quarters was $37 million (Q1 2026), $28.95 million (Q4 2025) and $23.09 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Union Pacific | 161.62 Bn | 156.15 Bn | - |
| 2 | Csx | 86.16 Bn | 82.37 Bn | - |
| 3 | Canadian Pacific Kansas City | 74.78 Bn | 74.50 Bn | - |
| 4 | United Parcel Service | 70.01 Bn | 46.94 Bn | - |
| 5 | Norfolk Southern | 69.45 Bn | 64.09 Bn | - |
| 6 | Fedex | 67.46 Bn | 33.40 Bn | - |
| 7 | Delta Air Lines | 54.88 Bn | 37.06 Bn | - |
| 8 | Old Dominion Freight Line | 36.07 Bn | 35.33 Bn | - |
| 9 | Ryanair Holdings | 28.71 Bn | 12.72 Bn | 3.13 Bn |
| 10 | Global Crossing Airlines | 40.30 Mn | -10.20 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 37.14 Mn |
| Mar 31, 2026 | 37.00 Mn |
| Dec 31, 2025 | 28.95 Mn |
| Sep 30, 2025 | 23.09 Mn |
| Jun 30, 2025 | 27.25 Mn |
| Mar 31, 2025 | 24.01 Mn |
| Dec 31, 2024 | 20.42 Mn |
| Sep 30, 2024 | 15.49 Mn |
| Jun 30, 2024 | 17.16 Mn |
| Mar 31, 2024 | 17.65 Mn |
| Dec 31, 2023 | 17.47 Mn |
| Sep 30, 2023 | 13.62 Mn |
| Jun 30, 2023 | 13.12 Mn |
| Mar 31, 2023 | 11.49 Mn |
| Dec 31, 2022 | 9.46 Mn |
| Sep 30, 2022 | 5.17 Mn |
| Jun 30, 2022 | 3.56 Mn |
| Mar 31, 2022 | 6.69 Mn |
| Dec 31, 2021 | 4.22 Mn |
API Access
Global Crossing Airlines Accumulated Expenses 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=accumulated-expenses&ticker=JETMF&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "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=accumulated-expenses&ticker=JETMF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();