Global Crossing Airlines (JETMF) Return on Assets [ROA] (2022 - 2026)
Global Crossing Airlines' Return on Assets [ROA] came in at -1.13% for Q2 2026, up 1.38 percentage points from -2.51% a year earlier but down 0.97 percentage points from the prior quarter.
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Analysis
Global Crossing Airlines (JETMF) Return on Assets [ROA] (2022 - 2026) Analysis & Trends
For FY2025, Global Crossing Airlines' Return on Assets [ROA] was -1.42%, up 6.22 percentage points from FY2024.
- Return on Assets [ROA] has increased in each of the last three years, with a three-year change of +33.65 percentage points (FY2022 to FY2025).
- Going back by year, Return on Assets [ROA] was -7.64% in FY2024 (+15.14 pp), -22.78% in FY2023 (+12.29 pp) and -35.07% in FY2022.
- The five-year range for quarterly Return on Assets [ROA] is -48.89% (Q2 2022) to -0.16% (Q1 2026).
- Year-over-year, Return on Assets [ROA] has increased for 14 consecutive quarters, with an average year-over-year change of +7.54 percentage points over the last eight quarters.
- The year-over-year gain in Return on Assets [ROA] has ranged between 1.38 percentage points (Q2 2026) and 27.36 percentage points (Q2 2023) over the last five years.
- Business Quant data shows JETMF's Return on Assets [ROA] at -0.16% (Q1 2026), -1.40% (Q4 2025) and -0.72% (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROA (Qtr) |
|---|---|---|---|---|---|
| 1 | Union Pacific | 165.28 Bn | 159.81 Bn | - | 10.41% |
| 2 | Csx | 87.86 Bn | 84.08 Bn | - | 7.32% |
| 3 | Canadian Pacific Kansas City | 75.56 Bn | 75.27 Bn | - | 4.35% |
| 4 | Norfolk Southern | 71.27 Bn | 65.91 Bn | - | 5.84% |
| 5 | United Parcel Service | 69.70 Bn | 46.62 Bn | - | 6.39% |
| 6 | Fedex | 68.71 Bn | 34.65 Bn | - | 4.58% |
| 7 | Delta Air Lines | 55.32 Bn | 37.50 Bn | - | 4.63% |
| 8 | Old Dominion Freight Line | 37.44 Bn | 36.71 Bn | - | 19.12% |
| 9 | United Airlines Holdings | 36.52 Bn | -19.85 Bn | - | 4.22% |
| 10 | Global Crossing Airlines | 40.30 Mn | -10.20 Mn | - | -1.13% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -1.13% |
| Mar 31, 2026 | -0.16% |
| Dec 31, 2025 | -1.40% |
| Sep 30, 2025 | -0.72% |
| Jun 30, 2025 | -2.51% |
| Mar 31, 2025 | -2.70% |
| Dec 31, 2024 | -6.91% |
| Sep 30, 2024 | -8.44% |
| Jun 30, 2024 | -8.78% |
| Mar 31, 2024 | -14.97% |
| Dec 31, 2023 | -17.39% |
| Sep 30, 2023 | -22.56% |
| Jun 30, 2023 | -21.53% |
| Mar 31, 2023 | -28.15% |
| Dec 31, 2022 | -31.30% |
| Sep 30, 2022 | -33.92% |
| Jun 30, 2022 | -48.89% |
| Mar 31, 2022 | -45.54% |
API Access
Global Crossing Airlines Return on Assets [ROA] 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=return-on-assets-%5Broa%5D&ticker=JETMF&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-assets-[roa]", "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=return-on-assets-%5Broa%5D&ticker=JETMF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();