Teleflex (TFX) Cash & Equivalents (2009 - 2026)
Teleflex's Cash & Equivalents was $300.16 million in Q2 2026, up 18.3% from $253.7 million a year earlier but down 3.0% from the prior quarter.
Analysis
Teleflex (TFX) Cash & Equivalents (2009 - 2026) Analysis & Trends
At the end of FY2025, Cash & Equivalents at Teleflex came in at $378.56 million, up 52.7% from FY2024.
- Cash & Equivalents shows a five-year compound annual growth rate of 0.1% (FY2020 to FY2025).
- In earlier years, Cash & Equivalents was $247.85 million in FY2024 (+11.2%), $222.85 million in FY2023 (-23.7%), $292.03 million in FY2022 (-34.4%) and $445.08 million in FY2021 (+18.4%).
- Quarterly Cash & Equivalents has moved between $222.85 million (Q4 2023) and $881.5 million (Q3 2023) over five years.
- Compared with a year earlier, Cash & Equivalents has increased for seven straight quarters, with growth averaging 11.3% over the last eight quarters.
- The best year-over-year quarter for Cash & Equivalents over five years was Q3 2023 (growth of 121.9%); the worst was Q3 2024 (a decline of 72.4%).
- Per Business Quant data, TFX's Cash & Equivalents in the three quarters before Q2 2026 was $309.41 million (Q1 2026), $378.56 million (Q4 2025) and $354 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 250.06 Bn | 229.21 Bn | 4.88 Bn | 4.06 Bn |
| 2 | Abbott Laboratories | 177.62 Bn | 148.71 Bn | 7.27 Bn | 5.10 Bn |
| 3 | Danaher | 161.58 Bn | 145.40 Bn | 3.61 Bn | 4.35 Bn |
| 4 | Intuitive Surgical | 153.84 Bn | 134.26 Bn | 2.08 Bn | 2.98 Bn |
| 5 | Medtronic | 123.63 Bn | 89.50 Bn | 6.34 Bn | 1.69 Bn |
| 6 | Stryker | 117.79 Bn | 103.90 Bn | 4.50 Bn | 3.39 Bn |
| 7 | Boston Scientific | 66.71 Bn | 61.72 Bn | 3.85 Bn | 539.00 Mn |
| 8 | Becton Dickinson | 54.60 Bn | 51.75 Bn | 2.32 Bn | 708.00 Mn |
| 9 | Edwards Lifesciences | 51.95 Bn | 36.07 Bn | 1.35 Bn | 2.91 Bn |
| 10 | Teleflex | 5.80 Bn | 4.45 Bn | 331.71 Mn | 300.16 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 300.16 Mn |
| Mar 31, 2026 | 309.41 Mn |
| Dec 31, 2025 | 378.56 Mn |
| Sep 28, 2025 | 354.00 Mn |
| Jun 29, 2025 | 253.70 Mn |
| Mar 30, 2025 | 284.12 Mn |
| Dec 31, 2024 | 247.85 Mn |
| Sep 29, 2024 | 243.24 Mn |
| Jun 30, 2024 | 238.57 Mn |
| Mar 31, 2024 | 237.42 Mn |
| Dec 31, 2023 | 222.85 Mn |
| Oct 1, 2023 | 881.50 Mn |
| Jul 2, 2023 | 250.82 Mn |
| Apr 2, 2023 | 264.14 Mn |
| Dec 31, 2022 | 292.03 Mn |
| Sep 25, 2022 | 397.26 Mn |
| Jun 26, 2022 | 308.12 Mn |
| Mar 27, 2022 | 466.66 Mn |
| Dec 31, 2021 | 445.08 Mn |
| Sep 26, 2021 | 481.17 Mn |
API Access
Teleflex 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=TFX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "ticker": "TFX", "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=TFX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();