Global Crossing Airlines (JETMF) Return on Capital Employed [ROCE] (2022 - 2026)
Global Crossing Airlines' Return on Capital Employed [ROCE] was 8.67% in Q2 2026, up 0.93 percentage points from 7.73% a year earlier but down 2.01 percentage points from the prior quarter.
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Analysis
Global Crossing Airlines (JETMF) Return on Capital Employed [ROCE] (2022 - 2026) Analysis & Trends
For FY2025, Return on Capital Employed [ROCE] at Global Crossing Airlines came in at 9.56%, up 10.91 percentage points from FY2024.
- Return on Capital Employed [ROCE] has now increased for three consecutive years, with a three-year change of +74.68 percentage points (FY2022 to FY2025).
- In earlier years, Return on Capital Employed [ROCE] was -1.36% in FY2024 (+40.16 pp), -41.52% in FY2023 (+23.61 pp) and -65.13% in FY2022.
- Quarterly Return on Capital Employed [ROCE] has moved between -96.56% (Q2 2022) and 11.15% (Q3 2025) over five years.
- Compared with a year earlier, Return on Capital Employed [ROCE] has increased for 14 straight quarters, with an average year-over-year change of +14.04 percentage points over the last eight quarters.
- The year-over-year gain in Return on Capital Employed [ROCE] has ranged between 0.93 percentage points (Q2 2026) and 52.70 percentage points (Q2 2023) over the last five years.
- Per Business Quant data, JETMF's Return on Capital Employed [ROCE] in the three quarters before Q2 2026 was 10.68% (Q1 2026), 9.36% (Q4 2025) and 11.15% (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROCE (Qtr) |
|---|---|---|---|---|---|
| 1 | Union Pacific | 165.28 Bn | 159.81 Bn | - | 15.69% |
| 2 | Csx | 87.86 Bn | 84.08 Bn | - | 12.29% |
| 3 | Canadian Pacific Kansas City | 75.56 Bn | 75.27 Bn | - | 6.84% |
| 4 | Norfolk Southern | 71.27 Bn | 65.91 Bn | - | 9.67% |
| 5 | United Parcel Service | 69.70 Bn | 46.62 Bn | - | 11.61% |
| 6 | Fedex | 68.71 Bn | 34.65 Bn | - | 7.01% |
| 7 | Delta Air Lines | 55.32 Bn | 37.50 Bn | - | 10.65% |
| 8 | Old Dominion Freight Line | 37.44 Bn | 36.71 Bn | - | 28.03% |
| 9 | United Airlines Holdings | 36.52 Bn | -19.85 Bn | - | 8.86% |
| 10 | Global Crossing Airlines | 40.30 Mn | -10.20 Mn | - | 8.67% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 8.67% |
| Mar 31, 2026 | 10.68% |
| Dec 31, 2025 | 9.36% |
| Sep 30, 2025 | 11.15% |
| Jun 30, 2025 | 7.73% |
| Mar 31, 2025 | 6.65% |
| Dec 31, 2024 | -1.14% |
| Sep 30, 2024 | -5.75% |
| Jun 30, 2024 | -5.59% |
| Mar 31, 2024 | -16.86% |
| Dec 31, 2023 | -23.86% |
| Sep 30, 2023 | -26.14% |
| Jun 30, 2023 | -43.86% |
| Mar 31, 2023 | -45.04% |
| Dec 31, 2022 | -49.55% |
| Sep 30, 2022 | -74.40% |
| Jun 30, 2022 | -96.56% |
| Mar 31, 2022 | -84.17% |
API Access
Global Crossing Airlines Return on Capital Employed [ROCE] 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-capital-employed-%5Broce%5D&ticker=JETMF&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-capital-employed-[roce]", "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-capital-employed-%5Broce%5D&ticker=JETMF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();