Teledyne Technologies (TDY) Change in Accured Expenses (2009 - 2026)
Teledyne Technologies (TDY) posted Change in Accured Expenses of $88.9 million for Q2 2026, up 100.2% from $44.4 million a year earlier.
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Analysis
Teledyne Technologies (TDY) Change in Accured Expenses (2009 - 2026) Analysis & Trends
For the trailing twelve months through Jun 28, 2026, Change in Accured Expenses at Teledyne Technologies was $129.3 million, up 201.4% year-over-year; for FY2025, it was $71.2 million, down 20.4% from FY2024.
- Annual Change in Accured Expenses shows a four-year compound annual growth rate of 7.3% (FY2021 to FY2025).
- In prior years, Teledyne Technologies' Change in Accured Expenses was $89.4 million in FY2024 (+79.9%), $49.7 million in FY2023, -$344.2 million in FY2022 and $53.7 million in FY2021.
- The Q2 2026 figure stands as the highest quarterly Change in Accured Expenses in data going back to Q4 2011.
- On a year-over-year basis, Change in Accured Expenses increased in four of the last six quarters, with growth averaging 113.5%.
- According to Business Quant data, Change in Accured Expenses for the three prior quarters was -$43.7 million (Q1 2026), $23.2 million (Q4 2025) and $60.9 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accured Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 295.43 Bn | 253.94 Bn | 5.02 Bn | - |
| 2 | Rtx | 258.65 Bn | 226.92 Bn | 5.81 Bn | 1.81 Bn |
| 3 | Boeing | 148.98 Bn | 55.67 Bn | 2.41 Bn | 190.00 Mn |
| 4 | Lockheed Martin | 139.53 Bn | 123.76 Bn | 2.44 Bn | - |
| 5 | General Dynamics | 94.40 Bn | 81.52 Bn | 2.18 Bn | - |
| 6 | Motorola Solutions | 79.77 Bn | 76.11 Bn | 1.68 Bn | 82.00 Mn |
| 7 | Northrop Grumman | 78.39 Bn | 65.85 Bn | 2.35 Bn | -32.00 Mn |
| 8 | Howmet Aerospace | 74.22 Bn | 69.82 Bn | 951.00 Mn | 41.00 Mn |
| 9 | Honeywell International | 70.30 Bn | 22.42 Bn | 3.65 Bn | 895.00 Mn |
| 10 | Teledyne Technologies | 28.98 Bn | 27.24 Bn | 738.10 Mn | 88.90 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 28, 2026 | 88.90 Mn |
| Mar 29, 2026 | -43.70 Mn |
| Dec 28, 2025 | 23.20 Mn |
| Sep 28, 2025 | 60.90 Mn |
| Jun 29, 2025 | 44.40 Mn |
| Mar 30, 2025 | -57.30 Mn |
| Dec 29, 2024 | 20.30 Mn |
| Sep 29, 2024 | 35.50 Mn |
| Jun 30, 2024 | 55.40 Mn |
| Mar 31, 2024 | -21.80 Mn |
| Dec 31, 2023 | 63.10 Mn |
| Oct 1, 2023 | 5.20 Mn |
| Jul 2, 2023 | 16.00 Mn |
| Apr 2, 2023 | -34.60 Mn |
| Jan 1, 2023 | -278.80 Mn |
| Apr 3, 2022 | -451.50 Mn |
| Oct 3, 2021 | -49.90 Mn |
| Jul 4, 2021 | 34.70 Mn |
| Apr 4, 2021 | -50.20 Mn |
| Jan 3, 2021 | 42.60 Mn |
API Access
Teledyne Technologies Change in Accured 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=change-in-accured-expenses&ticker=TDY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-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=change-in-accured-expenses&ticker=TDY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();