Global Crossing Airlines (JETMF) Depreciation and Depletion (2021 - 2026)
Global Crossing Airlines (JETMF) reported Depreciation and Depletion of $4.67 million for Q1 2026, up 107.6% from $2.25 million a year earlier and up 20.8% from the prior quarter.
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Analysis
Global Crossing Airlines (JETMF) Depreciation and Depletion (2021 - 2026) Analysis & Trends
Over the twelve months ended Mar 31, 2026, Global Crossing Airlines' Depreciation and Depletion came in at $14.38 million, up 95.6% year-over-year; for FY2025, it was $11.96 million, up 90.8% from FY2024.
- Depreciation and Depletion has increased for three consecutive years, with a four-year compound annual growth rate of 332.2% (FY2021 to FY2025).
- By year, Depreciation and Depletion came in at $6.27 million in FY2024 (+173.5%), $2.29 million in FY2023 (+276.2%), $609,489 in FY2022 and $34,289 in FY2021.
- The Q1 2026 figure ranks as the highest quarterly Depreciation and Depletion in data going back to Q1 2021.
- Year over year, Depreciation and Depletion has now increased in each of the last 12 quarters, with growth averaging 129.8% over the last eight quarters.
- Over the past five years, the year-over-year growth in Depreciation and Depletion ranged from 73.8% (Q3 2025) to 538.3% (Q1 2022).
- Per Business Quant data, the three quarters before Q1 2026 came in at $3.86 million (Q4 2025), $3.24 million (Q3 2025) and $2.61 million (Q2 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Dep. & Depletion (Qtr) |
|---|---|---|---|---|---|
| 1 | Union Pacific | 161.79 Bn | 156.31 Bn | - | 638.00 Mn |
| 2 | Csx | 86.21 Bn | 82.43 Bn | - | - |
| 3 | Canadian Pacific Kansas City | 74.26 Bn | 73.97 Bn | - | - |
| 4 | United Parcel Service | 70.36 Bn | 47.28 Bn | - | - |
| 5 | Norfolk Southern | 69.74 Bn | 64.38 Bn | - | 358.00 Mn |
| 6 | Fedex | 67.91 Bn | 33.85 Bn | - | - |
| 7 | Delta Air Lines | 55.33 Bn | 37.51 Bn | - | - |
| 8 | Old Dominion Freight Line | 36.95 Bn | 36.21 Bn | - | - |
| 9 | United Airlines Holdings | 36.28 Bn | -20.09 Bn | - | - |
| 10 | Global Crossing Airlines | 39.63 Mn | -10.87 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 4.67 Mn |
| Dec 31, 2025 | 3.86 Mn |
| Sep 30, 2025 | 3.24 Mn |
| Jun 30, 2025 | 2.61 Mn |
| Mar 31, 2025 | 2.25 Mn |
| Dec 31, 2024 | 1.80 Mn |
| Sep 30, 2024 | 1.87 Mn |
| Jun 30, 2024 | 1.44 Mn |
| Mar 31, 2024 | 1.17 Mn |
| Dec 31, 2023 | 841,000.00 |
| Sep 30, 2023 | 558,000.00 |
| Jun 30, 2023 | 451,000.00 |
| Mar 31, 2023 | 443,000.00 |
| Dec 31, 2022 | 312,659.00 |
| Sep 30, 2022 | 193,620.00 |
| Jun 30, 2022 | 79,898.00 |
| Mar 31, 2022 | 23,312.00 |
| Dec 31, 2021 | 18,805.00 |
| Sep 30, 2021 | 7,099.00 |
| Jun 30, 2021 | 4,733.00 |
API Access
Global Crossing Airlines Depreciation and Depletion 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=depreciation-and-depletion&ticker=JETMF&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "depreciation-and-depletion", "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=depreciation-and-depletion&ticker=JETMF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();