Teledyne Technologies (TDY) Amortization - Intangibles (2020 - 2026)
Teledyne Technologies (TDY) reported Amortization - Intangibles of $56 million for Q2 2026, up 2.6% from $54.6 million a year earlier but down 2.8% from the prior quarter.
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Analysis
Teledyne Technologies (TDY) Amortization - Intangibles (2020 - 2026) Analysis & Trends
Over the twelve months ended Jun 28, 2026, Teledyne Technologies' Amortization - Intangibles came in at $223.6 million, up 8.5% year-over-year; for FY2025, it was $216.6 million, up 9.4% from FY2024.
- Amortization - Intangibles has a four-year compound annual growth rate of 53.7% (FY2021 to FY2025).
- By year, Amortization - Intangibles came in at $198 million in FY2024 (+0.7%), $196.7 million in FY2023 (-2.5%), $201.7 million in FY2022 and $38.8 million in FY2021.
- Five-year quarterly Amortization - Intangibles spans a low of $48.6 million in Q4 2023 and a high of $103.8 million in Q4 2022.
- Year over year, Amortization - Intangibles has now increased in each of the last eight quarters, with growth averaging 6.8% over the last eight quarters.
- The high point for year-over-year Amortization - Intangibles in five years was Q2 2025 (growth of 11.2%); the low point was Q4 2023 (a decline of 53.2%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $57.6 million (Q1 2026), $54.9 million (Q4 2025) and $55.1 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | General Electric | 303.30 Bn | 262.05 Bn | 5.02 Bn |
| 2 | Rtx | 262.79 Bn | 232.77 Bn | 5.81 Bn |
| 3 | Boeing | 148.22 Bn | 54.92 Bn | 2.41 Bn |
| 4 | Lockheed Martin | 136.34 Bn | 120.57 Bn | 2.44 Bn |
| 5 | General Dynamics | 94.90 Bn | 82.01 Bn | 2.18 Bn |
| 6 | Motorola Solutions | 79.08 Bn | 75.44 Bn | 1.68 Bn |
| 7 | Northrop Grumman | 78.49 Bn | 65.95 Bn | 2.35 Bn |
| 8 | Howmet Aerospace | 77.28 Bn | 72.89 Bn | 951.00 Mn |
| 9 | Honeywell International | 69.19 Bn | 21.64 Bn | 3.65 Bn |
| 10 | Teledyne Technologies | 28.75 Bn | 27.00 Bn | 738.10 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 28, 2026 | 56.00 Mn |
| Mar 29, 2026 | 57.60 Mn |
| Dec 28, 2025 | 54.90 Mn |
| Sep 28, 2025 | 55.10 Mn |
| Jun 29, 2025 | 54.60 Mn |
| Mar 30, 2025 | 52.00 Mn |
| Dec 29, 2024 | 49.70 Mn |
| Sep 29, 2024 | 49.80 Mn |
| Jun 30, 2024 | 49.10 Mn |
| Mar 31, 2024 | 49.40 Mn |
| Dec 31, 2023 | 48.60 Mn |
| Oct 1, 2023 | 49.10 Mn |
| Jul 2, 2023 | 49.30 Mn |
| Apr 2, 2023 | 49.70 Mn |
| Jan 1, 2023 | 103.80 Mn |
| Oct 2, 2022 | 48.90 Mn |
| Jul 3, 2022 | 51.30 Mn |
| Apr 3, 2022 | 53.60 Mn |
| Oct 3, 2021 | 55.30 Mn |
| Jul 4, 2021 | 32.80 Mn |
API Access
Teledyne Technologies 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=TDY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "amortization-intangibles", "ticker": "TDY", "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=TDY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();