Teleflex (TFX) Total Non-Current Liabilities (2009 - 2026)
Teleflex's Total Non-Current Liabilities was $3.82 billion in Q2 2026, up 26.9% from $3.01 billion a year earlier and up 5.2% from the prior quarter.
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Analysis
Teleflex (TFX) Total Non-Current Liabilities (2009 - 2026) Analysis & Trends
At the end of FY2025, Total Non-Current Liabilities at Teleflex came in at $3.74 billion, up 38.4% from FY2024.
- Total Non-Current Liabilities shows a five-year compound annual growth rate of 0.9% (FY2020 to FY2025).
- In earlier years, Total Non-Current Liabilities was $2.7 billion in FY2024 (-7.8%), $2.93 billion in FY2023 (+6.4%), $2.75 billion in FY2022 (-7.0%) and $2.96 billion in FY2021 (-17.2%).
- Quarterly Total Non-Current Liabilities has moved between $2.56 billion (Q2 2023) and $3.9 billion (Q3 2025) over five years.
- Compared with a year earlier, Total Non-Current Liabilities has increased for six straight quarters, with growth averaging 15.4% over the last eight quarters.
- The best year-over-year quarter for Total Non-Current Liabilities over five years was Q4 2025 (growth of 38.4%); the worst was Q2 2022 (a decline of 18.8%).
- Per Business Quant data, TFX's Total Non-Current Liabilities in the three quarters before Q2 2026 was $3.63 billion (Q1 2026), $3.74 billion (Q4 2025) and $3.9 billion (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 266.22 Bn | 242.86 Bn | 5.13 Bn | 54.88 Bn |
| 2 | Abbott Laboratories | 191.31 Bn | 165.77 Bn | 7.39 Bn | - |
| 3 | Danaher | 166.16 Bn | 145.82 Bn | 3.84 Bn | 33.44 Bn |
| 4 | Intuitive Surgical | 155.98 Bn | 136.40 Bn | 2.08 Bn | 2.53 Bn |
| 5 | Medtronic | 130.05 Bn | 96.18 Bn | 6.34 Bn | 38.93 Bn |
| 6 | Stryker | 123.40 Bn | 109.59 Bn | 4.25 Bn | 20.68 Bn |
| 7 | Boston Scientific | 64.81 Bn | 60.48 Bn | 3.43 Bn | 17.15 Bn |
| 8 | Edwards Lifesciences | 59.87 Bn | 43.18 Bn | 1.35 Bn | 2.26 Bn |
| 9 | Medline | 53.84 Bn | 50.96 Bn | 1.93 Bn | 17.66 Bn |
| 10 | Teleflex | 6.16 Bn | 4.74 Bn | 368.79 Mn | 2.73 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 2.73 Bn |
| Jun 30, 2026 | 3.71 Bn |
| Mar 31, 2026 | 3.53 Bn |
| Dec 31, 2025 | 3.63 Bn |
| Sep 28, 2025 | 3.90 Bn |
| Jun 29, 2025 | 3.01 Bn |
| Mar 30, 2025 | 2.99 Bn |
| Dec 31, 2024 | 2.70 Bn |
| Sep 29, 2024 | 2.85 Bn |
| Jun 30, 2024 | 2.76 Bn |
| Mar 31, 2024 | 2.82 Bn |
| Dec 31, 2023 | 2.93 Bn |
| Oct 1, 2023 | 3.07 Bn |
| Jul 2, 2023 | 2.55 Bn |
| Apr 2, 2023 | 2.66 Bn |
| Dec 31, 2022 | 2.75 Bn |
| Sep 25, 2022 | 2.73 Bn |
| Jun 26, 2022 | 2.74 Bn |
| Mar 27, 2022 | 2.92 Bn |
| Dec 31, 2021 | 2.95 Bn |
API Access
Teleflex Total Non-Current Liabilities 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=total-non-current-liabilities&ticker=TFX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "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=total-non-current-liabilities&ticker=TFX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();