Teledyne Technologies (TDY) Other Operating Expenses (2009 - 2026)
Teledyne Technologies' Other Operating Expenses came in at $980.4 million for Q2 2026, up 6.1% from $923.7 million a year earlier and up 3.9% from the prior quarter.
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Analysis
Teledyne Technologies (TDY) Other Operating Expenses (2009 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 28, 2026, Teledyne Technologies reported Other Operating Expenses of $3.84 billion, up 5.3% year-over-year; for FY2025, it came in at $3.72 billion, up 6.6% from FY2024.
- Other Operating Expenses has increased in each of the last three years, with a four-year compound annual growth rate of 17.6% (FY2021 to FY2025).
- Going back by year, Other Operating Expenses was $3.49 billion in FY2024 (+2.7%), $3.39 billion in FY2023 (+1.9%), $3.33 billion in FY2022 and $1.94 billion in FY2021.
- The Q2 2026 figure represents the highest quarterly Other Operating Expenses since Q4 2023.
- Year-over-year, Other Operating Expenses has increased for six consecutive quarters, with growth averaging 2.9% over the last eight quarters.
- The fastest year-over-year change in Other Operating Expenses over five years came in Q2 2025 (growth of 11.2%), and the weakest in Q4 2023 (a decline of 26.5%).
- Business Quant data shows TDY's Other Operating Expenses at $943.9 million (Q1 2026), $976 million (Q4 2025) and $935.1 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | General Electric | 300.76 Bn | 259.28 Bn | 5.02 Bn |
| 2 | Rtx | 258.64 Bn | 226.90 Bn | 5.81 Bn |
| 3 | Boeing | 149.75 Bn | 56.44 Bn | 2.41 Bn |
| 4 | Lockheed Martin | 133.34 Bn | 120.07 Bn | 2.45 Bn |
| 5 | General Dynamics | 93.77 Bn | 80.88 Bn | 2.18 Bn |
| 6 | Motorola Solutions | 78.18 Bn | 74.53 Bn | 1.68 Bn |
| 7 | Northrop Grumman | 78.11 Bn | 65.57 Bn | 2.35 Bn |
| 8 | Howmet Aerospace | 77.32 Bn | 72.92 Bn | 951.00 Mn |
| 9 | Honeywell International | 68.61 Bn | 20.74 Bn | 3.65 Bn |
| 10 | Teledyne Technologies | 28.33 Bn | 26.59 Bn | 738.10 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 28, 2026 | 980.40 Mn |
| Mar 29, 2026 | 943.90 Mn |
| Dec 28, 2025 | 976.00 Mn |
| Sep 28, 2025 | 935.10 Mn |
| Jun 29, 2025 | 923.70 Mn |
| Mar 30, 2025 | 882.40 Mn |
| Dec 29, 2024 | 961.80 Mn |
| Sep 29, 2024 | 873.70 Mn |
| Jun 30, 2024 | 830.60 Mn |
| Mar 31, 2024 | 819.60 Mn |
| Dec 31, 2023 | 1.21 Bn |
| Oct 1, 2023 | 846.30 Mn |
| Jul 2, 2023 | 855.60 Mn |
| Apr 2, 2023 | 840.40 Mn |
| Jan 1, 2023 | 1.64 Bn |
| Oct 2, 2022 | 834.70 Mn |
| Jul 3, 2022 | 839.90 Mn |
| Apr 3, 2022 | 806.20 Mn |
| Oct 3, 2021 | 843.00 Mn |
| Jul 4, 2021 | 695.90 Mn |
API Access
Teledyne Technologies Other 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=other-operating-expenses&ticker=TDY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-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=other-operating-expenses&ticker=TDY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();