FTAI Aviation (FTAI) Depreciation and Depletion (2014 - 2025)
FTAI Aviation (FTAI) reported Depreciation and Depletion of $55.89 million for Q1 2025, up 14.3% from $48.9 million a year earlier and up 9.3% from the prior quarter.
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Analysis
FTAI Aviation (FTAI) Depreciation and Depletion (2014 - 2025) Analysis & Trends
Over the twelve months ended Mar 31, 2025, FTAI Aviation's Depreciation and Depletion came in at $218.03 million, up 23.2% year-over-year; for FY2024, it came in at $211.05 million, up 25.0% from FY2023.
- Depreciation and Depletion has increased for four consecutive years, with a five-year compound annual growth rate of 47.1% (FY2019 to FY2024).
- By year, Depreciation and Depletion came in at $168.9 million in FY2023 (+10.8%), $152.38 million in FY2022 (+218.0%), $47.92 million in FY2021 (+80.3%) and $26.58 million in FY2020 (-13.3%).
- The Q1 2025 figure ranks as the highest quarterly Depreciation and Depletion in data going back to Q2 2014.
- Year over year, Depreciation and Depletion has now increased in each of the last seven quarters, with growth averaging 20.5% over the last eight quarters.
- The high point for year-over-year Depreciation and Depletion in five years was Q4 2021 (growth of 600.7%); the low point was Q3 2021 (a decline of 99.5%).
- Per Business Quant data, the three quarters before Q1 2025 came in at $51.11 million (Q4 2024), $55.38 million (Q3 2024) and $55.66 million (Q2 2024).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Dep. & Depletion (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 321.31 Bn | 275.31 Bn | 4.68 Bn | - |
| 2 | Rtx | 248.97 Bn | 222.19 Bn | 5.13 Bn | - |
| 3 | Boeing | 152.99 Bn | 59.70 Bn | 2.41 Bn | - |
| 4 | Lockheed Martin | 116.67 Bn | 103.39 Bn | 2.45 Bn | - |
| 5 | Howmet Aerospace | 92.54 Bn | 88.15 Bn | 951.00 Mn | - |
| 6 | General Dynamics | 89.31 Bn | 76.42 Bn | 2.18 Bn | 175.00 Mn |
| 7 | Motorola Solutions | 74.04 Bn | 70.40 Bn | 1.68 Bn | 53.00 Mn |
| 8 | Northrop Grumman | 67.90 Bn | 57.15 Bn | 2.12 Bn | - |
| 9 | Honeywell International | 67.82 Bn | 20.27 Bn | 3.65 Bn | 156.00 Mn |
| 10 | FTAI Aviation | 17.14 Bn | 15.58 Bn | 317.30 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2025 | 55.89 Mn |
| Dec 31, 2024 | 51.11 Mn |
| Sep 30, 2024 | 55.38 Mn |
| Jun 30, 2024 | 55.66 Mn |
| Mar 31, 2024 | 48.90 Mn |
| Dec 31, 2023 | 46.03 Mn |
| Sep 30, 2023 | 43.77 Mn |
| Jun 30, 2023 | 38.34 Mn |
| Mar 31, 2023 | 40.77 Mn |
| Dec 31, 2022 | 37.30 Mn |
| Sep 30, 2022 | 34.70 Mn |
| Jun 30, 2022 | 39.17 Mn |
| Mar 31, 2022 | 41.20 Mn |
| Dec 31, 2021 | 47.81 Mn |
| Sep 30, 2021 | 34,718.00 |
| Jun 30, 2021 | 35.90 Mn |
| Mar 31, 2021 | 34.70 Mn |
| Dec 31, 2020 | 6.82 Mn |
| Sep 30, 2020 | 6.63 Mn |
| Jun 30, 2020 | 6.54 Mn |
API Access
FTAI Aviation 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=FTAI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "depreciation-and-depletion", "ticker": "FTAI", "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=FTAI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();