TransDigm (TDG) Amortization - Intangibles (2009 - 2026)
TransDigm (TDG) reported Amortization - Intangibles of $69 million for fiscal Q3 2026 (quarter ended Jun 27, 2026), up 35.3% from $51 million a year earlier and up 15.0% from the prior quarter.
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Analysis
TransDigm (TDG) Amortization - Intangibles (2009 - 2026) Analysis & Trends
Over the twelve months ended Jun 27, 2026, TransDigm's Amortization - Intangibles came in at $238 million, up 19.6% year-over-year; for FY2025 (ended Sep 30, 2025), it came in at $201 million, up 24.8% from FY2024.
- Amortization - Intangibles has increased for three consecutive fiscal years, with a five-year compound annual growth rate of 3.5% (FY2020 to FY2025).
- By fiscal year, Amortization - Intangibles came in at $161 million in FY2024 (+15.8%), $139 million in FY2023 (+2.2%), $136 million in FY2022 (-0.7%) and $137 million in FY2021 (-18.9%).
- The fiscal Q3 2026 figure ranks as the highest quarterly Amortization - Intangibles in data going back to fiscal Q3 2009.
- Year over year, Amortization - Intangibles has now increased in each of the last 11 quarters, with growth averaging 29.1% over the last eight quarters.
- The high point for year-over-year Amortization - Intangibles in five years was fiscal Q4 2024 (growth of 50.0%); the low point was fiscal Q4 2021 (a decline of 12.2%).
- Per Business Quant data, the three fiscal quarters before Q3 2026 came in at $60 million (Q2 2026), $56 million (Q1 2026) and $53 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (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 |
| 7 | Motorola Solutions | 75.61 Bn | 71.97 Bn | 1.68 Bn |
| 8 | Northrop Grumman | 72.52 Bn | 61.76 Bn | 2.12 Bn |
| 9 | Honeywell International | 67.37 Bn | 19.81 Bn | 3.65 Bn |
| 10 | TransDigm | 61.72 Bn | 49.81 Bn | 1.63 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 27, 2026 | 69.00 Mn |
| Mar 28, 2026 | 60.00 Mn |
| Dec 27, 2025 | 56.00 Mn |
| Sep 30, 2025 | 53.00 Mn |
| Jun 28, 2025 | 51.00 Mn |
| Mar 29, 2025 | 47.00 Mn |
| Dec 28, 2024 | 50.00 Mn |
| Sep 30, 2024 | 51.00 Mn |
| Jun 29, 2024 | 38.00 Mn |
| Mar 30, 2024 | 37.00 Mn |
| Dec 30, 2023 | 35.00 Mn |
| Sep 30, 2023 | 34.00 Mn |
| Jul 1, 2023 | 37.00 Mn |
| Apr 1, 2023 | 35.00 Mn |
| Dec 31, 2022 | 34.00 Mn |
| Sep 30, 2022 | 34.00 Mn |
| Jul 2, 2022 | 33.00 Mn |
| Apr 2, 2022 | 33.00 Mn |
| Jan 1, 2022 | 36.00 Mn |
| Sep 30, 2021 | 36.00 Mn |
API Access
TransDigm Amortization - Intangibles 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=amortization-intangibles&ticker=TDG&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "amortization-intangibles", "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=amortization-intangibles&ticker=TDG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();