Global Crossing Airlines (JETMF) Shares Outstanding (Diluted) (2021 - 2026)
Global Crossing Airlines (JETMF) reported Shares Outstanding (Diluted) of 66.89 million for Q2 2026, down 6.1% from 71.26 million a year earlier and down 5.9% from the prior quarter.
Global Crossing Airlines (JETMF) Shares Outstanding (Diluted) (2021 - 2026) Analysis & Trends
For FY2025, Global Crossing Airlines posted Shares Outstanding (Diluted) of 64.1 million, up 6.2% from FY2024.
- Shares Outstanding (Diluted) has increased for four consecutive years, with a four-year compound annual growth rate of 8.5% (FY2021 to FY2025).
- By year, Shares Outstanding (Diluted) came in at 60.36 million in FY2024 (+6.3%), 56.76 million in FY2023 (+9.0%), 52.07 million in FY2022 (+12.8%) and 46.19 million in FY2021.
- Five-year quarterly Shares Outstanding (Diluted) spans a low of 46.19 million in Q4 2021 and a high of 83.63 million in Q2 2024.
- Year over year, Shares Outstanding (Diluted) gained in six of the last eight quarters, with growth averaging 2.9%.
- The high point for year-over-year Shares Outstanding (Diluted) in five years was Q3 2022 (growth of 51.7%); the low point was Q3 2023 (a decline of 24.8%).
- Per Business Quant data, the three quarters before Q2 2026 came in at 71.1 million (Q1 2026), 64.1 million (Q4 2025) and 64.66 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Dil.) (Qtr) |
|---|---|---|---|---|---|
| 1 | Union Pacific | 161.62 Bn | 156.15 Bn | - | 594.00 Mn |
| 2 | Csx | 86.16 Bn | 82.37 Bn | - | 1.86 Bn |
| 3 | Canadian Pacific Kansas City | 74.78 Bn | 74.50 Bn | - | 887.10 Mn |
| 4 | United Parcel Service | 70.01 Bn | 46.94 Bn | - | 851.00 Mn |
| 5 | Norfolk Southern | 69.45 Bn | 64.09 Bn | - | 225.00 Mn |
| 6 | Fedex | 67.46 Bn | 33.40 Bn | - | 239.00 Mn |
| 7 | Delta Air Lines | 54.88 Bn | 37.06 Bn | - | 658.00 Mn |
| 8 | Old Dominion Freight Line | 36.07 Bn | 35.33 Bn | - | 208.72 Mn |
| 9 | Ryanair Holdings | 28.71 Bn | 12.72 Bn | 3.13 Bn | 532.20 Mn |
| 10 | Global Crossing Airlines | 40.30 Mn | -10.20 Mn | - | 66.89 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 66.89 Mn |
| Mar 31, 2026 | 71.10 Mn |
| Dec 31, 2025 | 64.10 Mn |
| Sep 30, 2025 | 64.66 Mn |
| Jun 30, 2025 | 71.26 Mn |
| Mar 31, 2025 | 69.62 Mn |
| Dec 31, 2024 | 60.36 Mn |
| Sep 30, 2024 | 60.82 Mn |
| Jun 30, 2024 | 83.63 Mn |
| Mar 31, 2024 | 59.23 Mn |
| Dec 31, 2023 | 56.76 Mn |
| Sep 30, 2023 | 57.50 Mn |
| Jun 30, 2023 | 56.86 Mn |
| Mar 31, 2023 | 54.49 Mn |
| Dec 31, 2022 | 52.07 Mn |
| Sep 30, 2022 | 76.51 Mn |
| Jun 30, 2022 | 51.51 Mn |
| Mar 31, 2022 | 51.24 Mn |
| Dec 31, 2021 | 46.19 Mn |
| Sep 30, 2021 | 50.43 Mn |
Global Crossing Airlines Shares Outstanding (Diluted) 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=shares-outstanding-diluted&ticker=JETMF&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-diluted", "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=shares-outstanding-diluted&ticker=JETMF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();