Teleflex (TFX) Total Current Liabilities (2009 - 2026)
Teleflex (TFX) posted Total Current Liabilities of $720.38 million for Q2 2026, up 0.6% from $716.15 million a year earlier but down 1.1% from the prior quarter.
Teleflex (TFX) Total Current Liabilities (2009 - 2026) Analysis & Trends
At the end of FY2025, Teleflex's Total Current Liabilities came in at $762.03 million, up 17.4% from FY2024.
- Annual Total Current Liabilities has increased for three consecutive years, with a five-year compound annual growth rate of 7.1% (FY2020 to FY2025).
- In prior years, Teleflex's Total Current Liabilities was $649.36 million in FY2024 (+7.0%), $606.75 million in FY2023 (+4.3%), $581.49 million in FY2022 (-14.5%) and $680.12 million in FY2021 (+25.9%).
- Quarterly Total Current Liabilities has run from a low of $555.45 million in Q2 2023 to a high of $773.03 million in Q3 2025 over five years.
- On a year-over-year basis, Total Current Liabilities has increased in each of the last nine quarters, with growth averaging 13.8% over the last eight quarters.
- The strongest year-over-year quarter for Total Current Liabilities in the past five years was Q1 2022, with growth of 29.2%; the weakest was Q4 2022, with a decline of 14.5%.
- According to Business Quant data, Total Current Liabilities for the three prior quarters was $728.05 million (Q1 2026), $762.03 million (Q4 2025) and $773.03 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 257.99 Bn | 237.02 Bn | 4.88 Bn | 15.07 Bn |
| 2 | Abbott Laboratories | 175.01 Bn | 145.44 Bn | 7.27 Bn | 17.81 Bn |
| 3 | Danaher | 164.93 Bn | 148.74 Bn | 3.61 Bn | 8.11 Bn |
| 4 | Intuitive Surgical | 151.84 Bn | 131.26 Bn | 1.96 Bn | 1.92 Bn |
| 5 | Medtronic | 119.05 Bn | 84.30 Bn | 6.34 Bn | 11.80 Bn |
| 6 | Stryker | 113.89 Bn | 100.00 Bn | 4.50 Bn | 6.68 Bn |
| 7 | Boston Scientific | 65.37 Bn | 60.13 Bn | 3.85 Bn | 6.43 Bn |
| 8 | Becton Dickinson | 53.36 Bn | 50.51 Bn | 2.32 Bn | 9.40 Bn |
| 9 | Edwards Lifesciences | 50.83 Bn | 34.83 Bn | 1.35 Bn | 1.51 Bn |
| 10 | Teleflex | 5.68 Bn | 4.34 Bn | 331.71 Mn | 720.38 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 720.38 Mn |
| Mar 31, 2026 | 728.05 Mn |
| Dec 31, 2025 | 762.03 Mn |
| Sep 28, 2025 | 773.03 Mn |
| Jun 29, 2025 | 716.15 Mn |
| Mar 30, 2025 | 675.91 Mn |
| Dec 31, 2024 | 649.36 Mn |
| Sep 29, 2024 | 618.75 Mn |
| Jun 30, 2024 | 556.75 Mn |
| Mar 31, 2024 | 571.01 Mn |
| Dec 31, 2023 | 606.75 Mn |
| Oct 1, 2023 | 585.42 Mn |
| Jul 2, 2023 | 555.45 Mn |
| Apr 2, 2023 | 575.71 Mn |
| Dec 31, 2022 | 581.49 Mn |
| Sep 25, 2022 | 610.94 Mn |
| Jun 26, 2022 | 610.45 Mn |
| Mar 27, 2022 | 656.20 Mn |
| Dec 31, 2021 | 680.12 Mn |
| Sep 26, 2021 | 562.21 Mn |
Teleflex Total 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-current-liabilities&ticker=TFX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-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-current-liabilities&ticker=TFX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();