Teleflex (TFX) Other Non-Current Liabilities (2009 - 2026)
Teleflex's Other Non-Current Liabilities was $64.54 million in Q2 2026, down 47.8% from $123.64 million a year earlier and down 5.5% from the prior quarter.
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Analysis
Teleflex (TFX) Other Non-Current Liabilities (2009 - 2026) Analysis & Trends
At the end of FY2025, Other Non-Current Liabilities at Teleflex came in at $84.21 million, down 28.9% from FY2024.
- Other Non-Current Liabilities shows a five-year compound annual growth rate of -19.1% (FY2020 to FY2025).
- In earlier years, Other Non-Current Liabilities was $118.44 million in FY2024 (-27.1%), $162.5 million in FY2023 (+5.5%), $154.06 million in FY2022 (-1.7%) and $156.77 million in FY2021 (-35.4%).
- The Q2 2026 figure marks the lowest quarterly Other Non-Current Liabilities since Q3 2017.
- Compared with a year earlier, Other Non-Current Liabilities has declined for four straight quarters, with an average decline of 15.4% over the last eight quarters.
- The best year-over-year quarter for Other Non-Current Liabilities over five years was Q3 2024 (growth of 39.4%); the worst was Q2 2026 (a decline of 47.8%).
- Per Business Quant data, TFX's Other Non-Current Liabilities in the three quarters before Q2 2026 was $68.32 million (Q1 2026), $84.21 million (Q4 2025) and $146.84 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 266.22 Bn | 242.86 Bn | 5.13 Bn |
| 2 | Abbott Laboratories | 191.31 Bn | 165.77 Bn | 7.39 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 |
| 10 | Teleflex | 6.16 Bn | 4.74 Bn | 368.79 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 123.19 Mn |
| Jun 30, 2026 | 167.73 Mn |
| Mar 31, 2026 | 171.84 Mn |
| Dec 31, 2025 | 190.93 Mn |
| Sep 28, 2025 | 151.43 Mn |
| Jun 29, 2025 | 125.61 Mn |
| Mar 30, 2025 | 81.26 Mn |
| Dec 31, 2024 | 120.27 Mn |
| Sep 29, 2024 | 151.95 Mn |
| Jun 30, 2024 | 123.32 Mn |
| Mar 31, 2024 | 151.89 Mn |
| Dec 31, 2023 | 165.87 Mn |
| Oct 1, 2023 | 113.10 Mn |
| Jul 2, 2023 | 126.48 Mn |
| Apr 2, 2023 | 147.54 Mn |
| Dec 31, 2022 | 159.86 Mn |
| Sep 25, 2022 | 131.20 Mn |
| Jun 26, 2022 | 135.99 Mn |
| Mar 27, 2022 | 158.04 Mn |
| Dec 31, 2021 | 165.41 Mn |
API Access
Teleflex Other 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=other-non-current-liabilities&ticker=TFX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-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=other-non-current-liabilities&ticker=TFX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();