Teleflex (TFX) Net Long-Term Debt Issued (Repaid) (2009 - 2026)
Teleflex (TFX) posted Non-Current Debt of $2.72 billion for Q2 2026, up 51.0% from $1.8 billion a year earlier and up 8.2% from the prior quarter.
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Analysis
Teleflex (TFX) Net Long-Term Debt Issued (Repaid) (2009 - 2026) Analysis & Trends
At the end of FY2025, Teleflex's Non-Current Debt came in at $2.54 billion, up 63.3% from FY2024.
- Annual Non-Current Debt shows a five-year compound annual growth rate of 1.3% (FY2020 to FY2025).
- In prior years, Teleflex's Non-Current Debt was $1.56 billion in FY2024 (-9.9%), $1.73 billion in FY2023 (+6.4%), $1.62 billion in FY2022 (-6.7%) and $1.74 billion in FY2021 (-26.8%).
- The Q2 2026 figure stands as the highest quarterly Non-Current Debt in data going back to Q4 2009.
- On a year-over-year basis, Non-Current Debt has increased in each of the last six quarters, with growth averaging 25.3% over the last eight quarters.
- The strongest year-over-year quarter for Non-Current Debt in the past five years was Q4 2025, with growth of 63.3%; the weakest was Q2 2022, with a decline of 27.5%.
- According to Business Quant data, Non-Current Debt for the three prior quarters was $2.51 billion (Q1 2026), $2.54 billion (Q4 2025) and $2.57 billion (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Net LT Debt (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 266.22 Bn | 242.86 Bn | 5.13 Bn | -1.11 Bn |
| 2 | Abbott Laboratories | 191.31 Bn | 165.77 Bn | 7.39 Bn | -1.33 Bn |
| 3 | Danaher | 166.16 Bn | 145.82 Bn | 3.84 Bn | - |
| 4 | Intuitive Surgical | 155.98 Bn | 136.40 Bn | 2.08 Bn | - |
| 5 | Medtronic | 130.05 Bn | 96.18 Bn | 6.34 Bn | - |
| 6 | Stryker | 123.40 Bn | 109.59 Bn | 4.25 Bn | - |
| 7 | Boston Scientific | 64.81 Bn | 60.48 Bn | 3.43 Bn | - |
| 8 | Edwards Lifesciences | 59.87 Bn | 43.18 Bn | 1.35 Bn | - |
| 9 | Medline | 53.84 Bn | 50.96 Bn | 1.93 Bn | -7.00 Mn |
| 10 | Teleflex | 6.16 Bn | 4.74 Bn | 368.79 Mn | -1.19 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | -1.19 Bn |
| Jun 30, 2026 | 200.25 Mn |
| Mar 31, 2026 | -25.25 Mn |
| Dec 31, 2025 | -31.25 Mn |
| Sep 28, 2025 | 773.63 Mn |
| Jun 29, 2025 | -6.25 Mn |
| Mar 30, 2025 | 250.88 Mn |
| Dec 31, 2024 | -103.13 Mn |
| Sep 29, 2024 | 39.88 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 | 4.00 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 |
API Access
Teleflex Net Long-Term Debt Issued (Repaid) 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-current-debt&ticker=TFX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-debt", "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-current-debt&ticker=TFX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();