Teledyne Technologies (TDY) Accumulated Expenses (2010 - 2026)
Teledyne Technologies (TDY) reported Accumulated Expenses of $975 million for Q2 2026, up 13.7% from $857.8 million a year earlier and up 8.3% from the prior quarter.
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Analysis
Teledyne Technologies (TDY) Accumulated Expenses (2010 - 2026) Analysis & Trends
At the end of FY2025, Teledyne Technologies posted Accumulated Expenses of $923.4 million, up 9.3% from FY2024.
- Accumulated Expenses has increased for three consecutive years, with a four-year compound annual growth rate of 20.8% (FY2021 to FY2025).
- By year, Accumulated Expenses came in at $844.9 million in FY2024 (+8.1%), $781.3 million in FY2023 (+8.9%), $717.6 million in FY2022 and $434.2 million in FY2021.
- The Q2 2026 figure ranks as the highest quarterly Accumulated Expenses in data going back to Q4 2011.
- Year over year, Accumulated Expenses has now increased in each of the last three quarters, with growth averaging 8.2% over the last eight quarters.
- The high point for year-over-year Accumulated Expenses in five years was Q3 2024 (growth of 15.9%); the low point was Q3 2025 (a decline of 0.8%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $900.6 million (Q1 2026), $923.4 million (Q4 2025) and $893.6 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | General Electric | 296.44 Bn | 254.96 Bn | 5.02 Bn |
| 2 | Rtx | 258.97 Bn | 227.24 Bn | 5.81 Bn |
| 3 | Boeing | 146.80 Bn | 53.49 Bn | 2.41 Bn |
| 4 | Lockheed Martin | 137.01 Bn | 121.24 Bn | 2.44 Bn |
| 5 | General Dynamics | 94.12 Bn | 81.24 Bn | 2.18 Bn |
| 6 | Motorola Solutions | 79.04 Bn | 75.38 Bn | 1.68 Bn |
| 7 | Northrop Grumman | 77.42 Bn | 64.88 Bn | 2.35 Bn |
| 8 | Howmet Aerospace | 74.83 Bn | 70.43 Bn | 951.00 Mn |
| 9 | Honeywell International | 68.88 Bn | 21.00 Bn | 3.65 Bn |
| 10 | Teledyne Technologies | 28.90 Bn | 27.16 Bn | 738.10 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 28, 2026 | 975.00 Mn |
| Mar 29, 2026 | 900.60 Mn |
| Dec 28, 2025 | 923.40 Mn |
| Sep 28, 2025 | 893.60 Mn |
| Jun 29, 2025 | 857.80 Mn |
| Mar 30, 2025 | 874.30 Mn |
| Dec 29, 2024 | 844.90 Mn |
| Sep 29, 2024 | 900.60 Mn |
| Jun 30, 2024 | 836.80 Mn |
| Mar 31, 2024 | 767.60 Mn |
| Dec 31, 2023 | 781.30 Mn |
| Oct 1, 2023 | 777.10 Mn |
| Jul 2, 2023 | 724.00 Mn |
| Apr 2, 2023 | 692.90 Mn |
| Jan 1, 2023 | 717.60 Mn |
| Oct 2, 2022 | 619.00 Mn |
| Jul 3, 2022 | 620.00 Mn |
| Apr 3, 2022 | 612.20 Mn |
| Jan 2, 2022 | 1.03 Bn |
| Oct 3, 2021 | 994.20 Mn |
API Access
Teledyne Technologies Accumulated 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=accumulated-expenses&ticker=TDY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-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=accumulated-expenses&ticker=TDY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();