Teledyne Technologies (TDY) Cash & Equivalents (2009 - 2026)
Teledyne Technologies' Cash & Equivalents came in at $340.1 million for Q2 2026, up 9.4% from $310.9 million a year earlier but down 34.8% from the prior quarter.
Teledyne Technologies (TDY) Cash & Equivalents (2009 - 2026) Analysis & Trends
At the end of FY2025, Teledyne Technologies' Cash & Equivalents was $352.4 million, down 45.8% from FY2024.
- Cash & Equivalents carries a four-year compound annual growth rate of -14.9% (FY2021 to FY2025).
- Going back by year, Cash & Equivalents was $649.8 million in FY2024 (+0.2%), $648.3 million in FY2023 (+1.6%), $638.1 million in FY2022 and $673.1 million in FY2021.
- The five-year range for quarterly Cash & Equivalents is $310.9 million (Q2 2025) to $912.4 million (Q1 2024).
- Year-over-year, Cash & Equivalents increased in four of the last eight quarters, with an average decline of 12.2%.
- The fastest year-over-year change in Cash & Equivalents over five years came in Q1 2024 (growth of 37.2%), and the weakest in Q1 2025 (a decline of 49.4%).
- Business Quant data shows TDY's Cash & Equivalents at $521.4 million (Q1 2026), $352.4 million (Q4 2025) and $528.6 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 296.80 Bn | 255.32 Bn | 5.02 Bn | 8.76 Bn |
| 2 | Rtx | 259.77 Bn | 228.04 Bn | 5.81 Bn | 9.17 Bn |
| 3 | Boeing | 149.29 Bn | 55.98 Bn | 2.41 Bn | 7.24 Bn |
| 4 | Lockheed Martin | 139.94 Bn | 124.17 Bn | 2.44 Bn | 5.96 Bn |
| 5 | General Dynamics | 94.76 Bn | 81.88 Bn | 2.18 Bn | 4.33 Bn |
| 6 | Motorola Solutions | 79.66 Bn | 76.00 Bn | 1.68 Bn | 710.00 Mn |
| 7 | Northrop Grumman | 78.56 Bn | 66.02 Bn | 2.35 Bn | 3.74 Bn |
| 8 | Howmet Aerospace | 74.58 Bn | 70.18 Bn | 951.00 Mn | 563.00 Mn |
| 9 | Honeywell International | 70.39 Bn | 22.51 Bn | 3.65 Bn | 8.75 Bn |
| 10 | Teledyne Technologies | 29.03 Bn | 27.29 Bn | 738.10 Mn | 340.10 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 28, 2026 | 340.10 Mn |
| Mar 29, 2026 | 521.40 Mn |
| Dec 28, 2025 | 352.40 Mn |
| Sep 28, 2025 | 528.60 Mn |
| Jun 29, 2025 | 310.90 Mn |
| Mar 30, 2025 | 461.50 Mn |
| Dec 29, 2024 | 649.80 Mn |
| Sep 29, 2024 | 561.00 Mn |
| Jun 30, 2024 | 443.20 Mn |
| Mar 31, 2024 | 912.40 Mn |
| Dec 31, 2023 | 648.30 Mn |
| Oct 1, 2023 | 508.60 Mn |
| Jul 2, 2023 | 364.20 Mn |
| Apr 2, 2023 | 665.20 Mn |
| Jan 1, 2023 | 638.10 Mn |
| Oct 2, 2022 | 479.30 Mn |
| Jul 3, 2022 | 278.80 Mn |
| Apr 3, 2022 | 284.30 Mn |
| Jan 2, 2022 | 474.70 Mn |
| Oct 3, 2021 | 551.80 Mn |
Teledyne Technologies Cash & Equivalents 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=cash-and-equivalents&ticker=TDY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=TDY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();