TransDigm (TDG) Depreciation and Depletion (2009 - 2026)
TransDigm's Depreciation and Depletion came in at $49 million for fiscal Q3 2026 (quarter ended Jun 27, 2026), up 22.5% from $40 million a year earlier and up 11.4% from the prior quarter.
TransDigm (TDG) Depreciation and Depletion (2009 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 27, 2026, TransDigm reported Depreciation and Depletion of $179 million, up 10.5% year-over-year; for FY2025 (ended Sep 30, 2025), it came in at $163 million, up 9.4% from FY2024.
- Depreciation and Depletion has increased in each of the last 16 fiscal years, with a five-year compound annual growth rate of 7.4% (FY2020 to FY2025).
- Going back by fiscal year, Depreciation and Depletion was $149 million in FY2024 (+15.5%), $129 million in FY2023 (+11.2%), $116 million in FY2022 (+0.9%) and $115 million in FY2021 (+0.9%).
- The fiscal Q3 2026 figure represents the highest quarterly Depreciation and Depletion in data going back to fiscal Q4 2009.
- Year-over-year, Depreciation and Depletion has increased for 14 consecutive quarters, with growth averaging 11.6% over the last eight quarters.
- The fastest year-over-year change in Depreciation and Depletion over five years came in fiscal Q1 2024 (growth of 24.1%), and the weakest in fiscal Q4 2021 (a decline of 9.7%).
- Business Quant data shows TDG's Depreciation and Depletion at $44 million (Q2 2026), $44 million (Q1 2026) and $42 million (Q4 2025) in the three fiscal quarters before Q3 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Dep. & Depletion (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 339.47 Bn | 293.47 Bn | 4.68 Bn | - |
| 2 | Rtx | 255.27 Bn | 228.48 Bn | 5.13 Bn | - |
| 3 | Boeing | 156.48 Bn | 63.18 Bn | 2.41 Bn | - |
| 4 | Lockheed Martin | 119.91 Bn | 106.64 Bn | 2.45 Bn | - |
| 5 | Howmet Aerospace | 92.95 Bn | 88.55 Bn | 951.00 Mn | - |
| 6 | General Dynamics | 91.08 Bn | 78.19 Bn | 2.18 Bn | 175.00 Mn |
| 7 | Motorola Solutions | 75.61 Bn | 71.97 Bn | 1.68 Bn | 53.00 Mn |
| 8 | Northrop Grumman | 72.52 Bn | 61.76 Bn | 2.12 Bn | - |
| 9 | Honeywell International | 67.37 Bn | 19.81 Bn | 3.65 Bn | 156.00 Mn |
| 10 | TransDigm | 61.72 Bn | 49.81 Bn | 1.63 Bn | 49.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 27, 2026 | 49.00 Mn |
| Mar 28, 2026 | 44.00 Mn |
| Dec 27, 2025 | 44.00 Mn |
| Sep 30, 2025 | 42.00 Mn |
| Jun 28, 2025 | 40.00 Mn |
| Mar 29, 2025 | 41.00 Mn |
| Dec 28, 2024 | 40.00 Mn |
| Sep 30, 2024 | 41.00 Mn |
| Jun 29, 2024 | 37.00 Mn |
| Mar 30, 2024 | 35.00 Mn |
| Dec 30, 2023 | 36.00 Mn |
| Sep 30, 2023 | 36.00 Mn |
| Jul 1, 2023 | 32.00 Mn |
| Apr 1, 2023 | 32.00 Mn |
| Dec 31, 2022 | 29.00 Mn |
| Sep 30, 2022 | 31.00 Mn |
| Jul 2, 2022 | 27.00 Mn |
| Apr 2, 2022 | 29.00 Mn |
| Jan 1, 2022 | 29.00 Mn |
| Sep 30, 2021 | 28.00 Mn |
TransDigm 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=TDG&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "depreciation-and-depletion", "ticker": "TDG", "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=TDG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();