Teledyne Technologies (TDY) Operating Expenses (2009 - 2026)
Teledyne Technologies (TDY) posted Operating Expenses of $1.33 billion for Q2 2026, up 7.6% from $1.24 billion a year earlier and up 5.0% from the prior quarter.
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Analysis
Teledyne Technologies (TDY) Operating Expenses (2009 - 2026) Analysis & Trends
For the trailing twelve months through Jun 28, 2026, Operating Expenses at Teledyne Technologies was $5.13 billion, up 5.6% year-over-year; for FY2025, it came in at $4.97 billion, up 6.1% from FY2024.
- Annual Operating Expenses has increased for three consecutive years, with a four-year compound annual growth rate of 17.5% (FY2021 to FY2025).
- In prior years, Teledyne Technologies' Operating Expenses was $4.68 billion in FY2024 (+1.7%), $4.6 billion in FY2023 (+2.6%), $4.49 billion in FY2022 and $2.61 billion in FY2021.
- The Q2 2026 figure stands as the highest quarterly Operating Expenses since Q4 2022.
- On a year-over-year basis, Operating Expenses has increased in each of the last eight quarters, with growth averaging 6.4% over the last eight quarters.
- The strongest year-over-year quarter for Operating Expenses in the past five years was Q4 2024, with growth of 9.7%; the weakest was Q4 2023, with a decline of 31.2%.
- According to Business Quant data, Operating Expenses for the three prior quarters was $1.27 billion (Q1 2026), $1.28 billion (Q4 2025) and $1.26 billion (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 302.50 Bn | 261.02 Bn | 5.02 Bn | 11.75 Bn |
| 2 | Rtx | 263.18 Bn | 231.45 Bn | 5.81 Bn | 21.79 Bn |
| 3 | Boeing | 148.14 Bn | 54.83 Bn | 2.41 Bn | 2.35 Bn |
| 4 | Lockheed Martin | 135.80 Bn | 122.52 Bn | 2.45 Bn | - |
| 5 | General Dynamics | 94.50 Bn | 81.61 Bn | 2.18 Bn | 12.63 Bn |
| 6 | Motorola Solutions | 79.10 Bn | 75.45 Bn | 1.68 Bn | 756.00 Mn |
| 7 | Northrop Grumman | 78.81 Bn | 66.26 Bn | 2.35 Bn | 9.85 Bn |
| 8 | Howmet Aerospace | 77.75 Bn | 73.35 Bn | 951.00 Mn | 156.00 Mn |
| 9 | Honeywell International | 68.98 Bn | 21.10 Bn | 3.65 Bn | 1.87 Bn |
| 10 | Teledyne Technologies | 28.63 Bn | 26.89 Bn | 738.10 Mn | 1.33 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 28, 2026 | 1.33 Bn |
| Mar 29, 2026 | 1.27 Bn |
| Dec 28, 2025 | 1.28 Bn |
| Sep 28, 2025 | 1.26 Bn |
| Jun 29, 2025 | 1.24 Bn |
| Mar 30, 2025 | 1.19 Bn |
| Dec 29, 2024 | 1.27 Bn |
| Sep 29, 2024 | 1.17 Bn |
| Jun 30, 2024 | 1.13 Bn |
| Mar 31, 2024 | 1.12 Bn |
| Dec 31, 2023 | 1.15 Bn |
| Oct 1, 2023 | 1.14 Bn |
| Jul 2, 2023 | 1.17 Bn |
| Apr 2, 2023 | 1.14 Bn |
| Jan 1, 2023 | 1.68 Bn |
| Oct 2, 2022 | 1.12 Bn |
| Jul 3, 2022 | 1.13 Bn |
| Apr 3, 2022 | 1.10 Bn |
| Oct 3, 2021 | 1.12 Bn |
| Jul 4, 2021 | 1.02 Bn |
API Access
Teledyne Technologies Operating Expenses 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=operating-expenses&ticker=TDY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=TDY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();