Teleflex (TFX) Long-Term Debt Repayments (2009 - 2026)
Teleflex (TFX) recorded Long-Term Debt Repayments of $2.15 billion in Q2 2026, compared with $6.25 million a year earlier.
Teleflex (TFX) Long-Term Debt Repayments (2009 - 2026) Analysis & Trends
On a TTM basis, Teleflex's Long-Term Debt Repayments came in at $2.27 billion as of Jun 30, 2026, up 814.1% year-over-year; for FY2025, it was $153 million, down 47.5% from FY2024.
- Annual Long-Term Debt Repayments has declined for four straight years, with a five-year compound annual growth rate of -30.4% (FY2020 to FY2025).
- Across earlier years, Long-Term Debt Repayments came in at $291.5 million in FY2024 (-46.5%), $544.75 million in FY2023 (-38.4%), $884.5 million in FY2022 (-14.5%) and $1.03 billion in FY2021 (+10.2%).
- The Q2 2026 figure is the highest quarterly Long-Term Debt Repayments in data going back to Q3 2009.
- Peak year-over-year performance for Long-Term Debt Repayments in the last five years was growth of 269.2% in Q4 2022, against a decline of 96.6% in Q3 2022 at the low end.
- Per Business Quant, the preceding three quarters came in at $25.25 million (Q1 2026), $31.25 million (Q4 2025) and $66.38 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | LT Debt Repayment (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 250.71 Bn | 229.74 Bn | 4.88 Bn | - |
| 2 | Abbott Laboratories | 178.38 Bn | 148.81 Bn | 7.27 Bn | 1.41 Bn |
| 3 | Danaher | 161.61 Bn | 145.42 Bn | 3.61 Bn | - |
| 4 | Intuitive Surgical | 154.15 Bn | 134.44 Bn | 2.08 Bn | - |
| 5 | Medtronic | 123.21 Bn | 88.46 Bn | 6.34 Bn | - |
| 6 | Stryker | 117.50 Bn | 103.61 Bn | 4.50 Bn | - |
| 7 | Boston Scientific | 67.50 Bn | 62.26 Bn | 3.85 Bn | - |
| 8 | Becton Dickinson | 54.80 Bn | 51.95 Bn | 2.32 Bn | 2.00 Bn |
| 9 | Edwards Lifesciences | 51.78 Bn | 35.79 Bn | 1.35 Bn | - |
| 10 | Teleflex | 5.94 Bn | 4.59 Bn | 331.71 Mn | 2.15 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.15 Bn |
| Mar 31, 2026 | 25.25 Mn |
| Dec 31, 2025 | 31.25 Mn |
| Sep 28, 2025 | 66.38 Mn |
| Jun 29, 2025 | 6.25 Mn |
| Mar 30, 2025 | 49.13 Mn |
| Dec 31, 2024 | 103.13 Mn |
| Sep 29, 2024 | 90.13 Mn |
| Jun 30, 2024 | 41.13 Mn |
| Mar 31, 2024 | 57.13 Mn |
| Dec 31, 2023 | 223.13 Mn |
| Oct 1, 2023 | 167.13 Mn |
| Jul 2, 2023 | 79.38 Mn |
| Apr 2, 2023 | 75.13 Mn |
| Dec 31, 2022 | 740.25 Mn |
| Sep 25, 2022 | 8.75 Mn |
| Jun 26, 2022 | 135.50 Mn |
| Dec 31, 2021 | 200.50 Mn |
| Sep 26, 2021 | 259.00 Mn |
| Jun 27, 2021 | 475.00 Mn |
Teleflex Long-Term Debt Repayments 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=long-term-debt-repayments&ticker=TFX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-debt-repayments", "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=long-term-debt-repayments&ticker=TFX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();