Global Crossing Airlines (JETMF) Property, Plant & Equipment (Net) (2021 - 2026)
Global Crossing Airlines' Property, Plant & Equipment (Net) was $37.61 million in Q2 2026, up 161.2% from $14.4 million a year earlier and up 4.0% from the prior quarter.
Global Crossing Airlines (JETMF) Property, Plant & Equipment (Net) (2021 - 2026) Analysis & Trends
At the end of FY2025, Property, Plant & Equipment (Net) at Global Crossing Airlines came in at $33.58 million, up 225.7% from FY2024.
- Property, Plant & Equipment (Net) has now increased for four consecutive years, with a four-year compound annual growth rate of 171.4% (FY2021 to FY2025).
- In earlier years, Property, Plant & Equipment (Net) was $10.31 million in FY2024 (+86.6%), $5.53 million in FY2023 (+126.3%), $2.44 million in FY2022 (+294.5%) and $618,883 in FY2021.
- The Q2 2026 figure marks the highest quarterly Property, Plant & Equipment (Net) in data going back to Q4 2021.
- Compared with a year earlier, Property, Plant & Equipment (Net) has increased for 15 straight quarters, with growth averaging 150.7% over the last eight quarters.
- Over the past five years, the year-over-year growth in Property, Plant & Equipment (Net) ranged from 73.6% (Q2 2025) to 294.5% (Q4 2022).
- Per Business Quant data, JETMF's Property, Plant & Equipment (Net) in the three quarters before Q2 2026 was $36.18 million (Q1 2026), $33.58 million (Q4 2025) and $32.67 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | PP&E (Net) (Qtr) |
|---|---|---|---|---|---|
| 1 | Union Pacific | 165.28 Bn | 159.81 Bn | - | 60.20 Bn |
| 2 | Csx | 87.86 Bn | 84.08 Bn | - | 36.95 Bn |
| 3 | Canadian Pacific Kansas City | 75.56 Bn | 75.27 Bn | - | 41.33 Bn |
| 4 | Norfolk Southern | 71.27 Bn | 65.91 Bn | - | 36.63 Bn |
| 5 | United Parcel Service | 69.70 Bn | 46.62 Bn | - | 37.89 Bn |
| 6 | Fedex | 68.71 Bn | 34.65 Bn | - | 42.04 Bn |
| 7 | Delta Air Lines | 55.32 Bn | 37.50 Bn | - | 41.54 Bn |
| 8 | Old Dominion Freight Line | 37.44 Bn | 36.71 Bn | - | 4.44 Bn |
| 9 | United Airlines Holdings | 36.52 Bn | -19.85 Bn | - | 47.96 Bn |
| 10 | Global Crossing Airlines | 40.30 Mn | -10.20 Mn | - | 37.61 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 37.61 Mn |
| Mar 31, 2026 | 36.18 Mn |
| Dec 31, 2025 | 33.58 Mn |
| Sep 30, 2025 | 32.67 Mn |
| Jun 30, 2025 | 14.40 Mn |
| Mar 31, 2025 | 12.35 Mn |
| Dec 31, 2024 | 10.31 Mn |
| Sep 30, 2024 | 9.23 Mn |
| Jun 30, 2024 | 8.30 Mn |
| Mar 31, 2024 | 6.78 Mn |
| Dec 31, 2023 | 5.53 Mn |
| Sep 30, 2023 | 4.02 Mn |
| Jun 30, 2023 | 3.11 Mn |
| Mar 31, 2023 | 2.55 Mn |
| Dec 31, 2022 | 2.44 Mn |
| Sep 30, 2022 | 1.67 Mn |
| Jun 30, 2022 | 1.38 Mn |
| Mar 31, 2022 | 868,602.00 |
| Dec 31, 2021 | 618,883.00 |
Global Crossing Airlines Property, Plant & Equipment (Net) 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=property-plant-and-equipment-net&ticker=JETMF&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "property-plant-and-equipment-net", "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=property-plant-and-equipment-net&ticker=JETMF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();