Global Crossing Airlines (JETMF) Return on Sales [ROS] (2021 - 2026)
Global Crossing Airlines (JETMF) reported Return on Sales [ROS] of 2.21% for Q2 2026, down 3.13 percentage points from 5.34% a year earlier and down 5.76 percentage points from the prior quarter.
Global Crossing Airlines (JETMF) Return on Sales [ROS] (2021 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Global Crossing Airlines' Return on Sales [ROS] came in at 3.89%, up 0.84 percentage points year-over-year; for FY2025, it came in at 3.61%, up 4.12 percentage points from FY2024.
- Return on Sales [ROS] has increased for four consecutive years, with a four-year change of +123.68 percentage points (FY2021 to FY2025).
- By year, Return on Sales [ROS] came in at -0.50% in FY2024 (+9.41 pp), -9.91% in FY2023 (+1.66 pp), -11.57% in FY2022 (+108.49 pp) and -120.07% in FY2021.
- Five-year quarterly Return on Sales [ROS] spans a low of -168.29% in Q3 2021 and a high of 7.97% in Q1 2026.
- Year over year, Return on Sales [ROS] gained in six of the last eight quarters, with an average year-over-year change of +3.29 percentage points.
- The high point for year-over-year Return on Sales [ROS] in five years was Q3 2022 (a gain of 170.88 percentage points); the low point was Q3 2023 (a drop of 8.06 percentage points).
- Per Business Quant data, the three quarters before Q2 2026 came in at 7.97% (Q1 2026), 2.46% (Q4 2025) and 1.78% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Union Pacific | 165.28 Bn | 159.81 Bn | - | 40.25% |
| 2 | Csx | 87.86 Bn | 84.08 Bn | - | 38.27% |
| 3 | Canadian Pacific Kansas City | 75.56 Bn | 75.27 Bn | - | 35.35% |
| 4 | Norfolk Southern | 71.27 Bn | 65.91 Bn | - | 32.44% |
| 5 | United Parcel Service | 69.70 Bn | 46.62 Bn | - | 4.07% |
| 6 | Fedex | 68.71 Bn | 34.65 Bn | - | 6.20% |
| 7 | Delta Air Lines | 55.32 Bn | 37.50 Bn | - | 9.43% |
| 8 | Old Dominion Freight Line | 37.44 Bn | 36.71 Bn | - | 29.94% |
| 9 | United Airlines Holdings | 36.52 Bn | -19.85 Bn | - | 6.20% |
| 10 | Global Crossing Airlines | 40.30 Mn | -10.20 Mn | - | 2.21% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.21% |
| Mar 31, 2026 | 7.97% |
| Dec 31, 2025 | 2.46% |
| Sep 30, 2025 | 1.78% |
| Jun 30, 2025 | 5.34% |
| Mar 31, 2025 | 4.67% |
| Dec 31, 2024 | 5.76% |
| Sep 30, 2024 | -4.78% |
| Jun 30, 2024 | 4.42% |
| Mar 31, 2024 | -8.58% |
| Dec 31, 2023 | -2.28% |
| Sep 30, 2023 | -5.47% |
| Jun 30, 2023 | -21.53% |
| Mar 31, 2023 | -17.20% |
| Dec 31, 2022 | -2.27% |
| Sep 30, 2022 | 2.59% |
| Jun 30, 2022 | -37.45% |
| Mar 31, 2022 | -29.08% |
| Dec 31, 2021 | -37.88% |
| Sep 30, 2021 | -168.29% |
Global Crossing Airlines Return on Sales [ROS] 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-sales-%5Bros%5D&ticker=JETMF&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "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-sales-%5Bros%5D&ticker=JETMF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();