Teleflex (TFX) Non Operating Interest Expenses (2009 - 2026)
Teleflex's Non Operating Interest Expenses came in at $27.95 million for Q2 2026, up 28.8% from $21.7 million a year earlier and up 8.7% from the prior quarter.
Teleflex (TFX) Non Operating Interest Expenses (2009 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Teleflex reported Non Operating Interest Expenses of $113.64 million, up 42.2% year-over-year; for FY2025, it was $100.22 million, up 20.0% from FY2024.
- Non Operating Interest Expenses carries a five-year compound annual growth rate of 8.6% (FY2020 to FY2025).
- Going back by year, Non Operating Interest Expenses was $83.51 million in FY2024 (-1.8%), $85.01 million in FY2023 (+56.7%), $54.26 million in FY2022 (-4.7%) and $56.97 million in FY2021 (-14.3%).
- The five-year range for quarterly Non Operating Interest Expenses is $10.42 million (Q1 2022) to $31.84 million (Q3 2025).
- Year-over-year, Non Operating Interest Expenses has increased for five consecutive quarters, with growth averaging 14.7% over the last eight quarters.
- The fastest year-over-year change in Non Operating Interest Expenses over five years came in Q1 2023 (growth of 76.0%), and the weakest in Q1 2022 (a decline of 38.0%).
- Business Quant data shows TFX's Non Operating Interest Expenses at $25.72 million (Q1 2026), $28.13 million (Q4 2025) and $31.84 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non Operating Interest Expenses (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 257.99 Bn | 237.02 Bn | 4.88 Bn | 401.00 Mn |
| 2 | Abbott Laboratories | 175.01 Bn | 145.44 Bn | 7.27 Bn | 351.00 Mn |
| 3 | Danaher | 164.93 Bn | 148.74 Bn | 3.61 Bn | 107.00 Mn |
| 4 | Intuitive Surgical | 151.84 Bn | 131.26 Bn | 1.96 Bn | - |
| 5 | Medtronic | 119.05 Bn | 84.30 Bn | 6.34 Bn | 186.00 Mn |
| 6 | Stryker | 113.89 Bn | 100.00 Bn | 4.50 Bn | 141.00 Mn |
| 7 | Boston Scientific | 65.37 Bn | 60.13 Bn | 3.85 Bn | 96.00 Mn |
| 8 | Becton Dickinson | 53.36 Bn | 50.51 Bn | 2.32 Bn | 132.00 Mn |
| 9 | Edwards Lifesciences | 50.83 Bn | 34.83 Bn | 1.35 Bn | - |
| 10 | Teleflex | 5.68 Bn | 4.34 Bn | 331.71 Mn | 27.95 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 27.95 Mn |
| Mar 31, 2026 | 25.72 Mn |
| Dec 31, 2025 | 28.13 Mn |
| Sep 28, 2025 | 31.84 Mn |
| Jun 29, 2025 | 21.70 Mn |
| Mar 30, 2025 | 18.54 Mn |
| Dec 31, 2024 | 18.60 Mn |
| Sep 29, 2024 | 21.06 Mn |
| Jun 30, 2024 | 21.17 Mn |
| Mar 31, 2024 | 22.68 Mn |
| Dec 31, 2023 | 25.72 Mn |
| Oct 1, 2023 | 23.19 Mn |
| Jul 2, 2023 | 17.76 Mn |
| Apr 2, 2023 | 18.34 Mn |
| Dec 31, 2022 | 19.05 Mn |
| Sep 25, 2022 | 13.38 Mn |
| Jun 26, 2022 | 11.42 Mn |
| Mar 27, 2022 | 10.42 Mn |
| Dec 31, 2021 | 12.01 Mn |
| Sep 26, 2021 | 11.99 Mn |
Teleflex Non Operating Interest 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=non-operating-interest-expenses&ticker=TFX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-operating-interest-expenses", "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=non-operating-interest-expenses&ticker=TFX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();