Global Crossing Airlines (JETMF) EV to EBITDA (2024 - 2026)
Global Crossing Airlines' (JETMF) EV to EBITDA stood at 1.19 in Q2 2026, down 29.8% from 1.69 a year earlier but up 113.8% from the prior quarter.
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Analysis
Global Crossing Airlines (JETMF) EV to EBITDA (2024 - 2026) Analysis & Trends
On a TTM basis, Global Crossing Airlines' EV to EBITDA came in at -0.30 as of Jun 30, 2026; for FY2025, it was 1.03, down 67.3% from FY2024.
- Across earlier years, EV to EBITDA came in at 3.14 in FY2024.
- Quarterly EV to EBITDA has ranged from 0.56 in Q1 2026 to 3.14 in Q4 2024 over the past five years.
- On a year-over-year basis, EV to EBITDA has declined for three consecutive quarters.
- Per Business Quant, the preceding three quarters came in at 0.56 (Q1 2026), 1.03 (Q4 2025) and 1.70 (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Union Pacific | 162.85 Bn | 157.37 Bn | - |
| 2 | Csx | 86.62 Bn | 82.84 Bn | - |
| 3 | Canadian Pacific Kansas City | 76.11 Bn | 75.83 Bn | - |
| 4 | United Parcel Service | 70.66 Bn | 47.58 Bn | - |
| 5 | Norfolk Southern | 70.32 Bn | 64.96 Bn | - |
| 6 | Fedex | 68.53 Bn | 34.48 Bn | - |
| 7 | Delta Air Lines | 55.25 Bn | 37.43 Bn | - |
| 8 | Old Dominion Freight Line | 36.69 Bn | 35.95 Bn | - |
| 9 | Ryanair Holdings | 28.78 Bn | 12.78 Bn | 3.13 Bn |
| 10 | Global Crossing Airlines | 39.63 Mn | -10.87 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.19 |
| Mar 31, 2026 | 0.56 |
| Dec 31, 2025 | 1.03 |
| Sep 30, 2025 | 1.70 |
| Jun 30, 2025 | 1.69 |
| Mar 31, 2025 | 2.48 |
| Dec 31, 2024 | 3.14 |
API Access
Global Crossing Airlines EV to EBITDA 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=ev-to-ebitda&ticker=JETMF&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ev-to-ebitda", "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=ev-to-ebitda&ticker=JETMF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();