Teleflex (TFX) Other Accumulated Expenses (2010 - 2026)
Teleflex's Other Accumulated Expenses came in at $88.36 million for Q2 2026, down 44.5% from $159.12 million a year earlier and down 15.0% from the prior quarter.
Teleflex (TFX) Other Accumulated Expenses (2010 - 2026) Analysis & Trends
At the end of FY2025, Teleflex's Other Accumulated Expenses was $137.2 million, up 132.3% from FY2024.
- Other Accumulated Expenses carries a five-year compound annual growth rate of 20.6% (FY2020 to FY2025).
- Going back by year, Other Accumulated Expenses was $59.05 million in FY2024 (+26.9%), $46.55 million in FY2023 (-26.6%), $63.38 million in FY2022 (+13.9%) and $55.63 million in FY2021 (+3.3%).
- The Q2 2026 figure represents the lowest quarterly Other Accumulated Expenses since Q4 2024.
- Year-over-year, Other Accumulated Expenses increased in six of the last eight quarters, with growth averaging 65.6%.
- The fastest year-over-year change in Other Accumulated Expenses over five years came in Q2 2025 (growth of 176.6%), and the weakest in Q2 2026 (a decline of 44.5%).
- Business Quant data shows TFX's Other Accumulated Expenses at $103.93 million (Q1 2026), $137.2 million (Q4 2025) and $162.6 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 250.13 Bn | 229.16 Bn | 4.88 Bn |
| 2 | Abbott Laboratories | 180.31 Bn | 150.74 Bn | 7.27 Bn |
| 3 | Danaher | 162.34 Bn | 146.15 Bn | 3.61 Bn |
| 4 | Intuitive Surgical | 158.13 Bn | 138.42 Bn | 2.08 Bn |
| 5 | Medtronic | 122.37 Bn | 87.63 Bn | 6.34 Bn |
| 6 | Stryker | 117.89 Bn | 104.00 Bn | 4.50 Bn |
| 7 | Boston Scientific | 67.15 Bn | 61.92 Bn | 3.85 Bn |
| 8 | Becton Dickinson | 54.68 Bn | 51.83 Bn | 2.32 Bn |
| 9 | Edwards Lifesciences | 51.43 Bn | 35.44 Bn | 1.35 Bn |
| 10 | Teleflex | 5.94 Bn | 4.60 Bn | 331.71 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 88.36 Mn |
| Mar 31, 2026 | 103.93 Mn |
| Dec 31, 2025 | 137.20 Mn |
| Sep 28, 2025 | 162.60 Mn |
| Jun 29, 2025 | 159.12 Mn |
| Mar 30, 2025 | 106.32 Mn |
| Dec 31, 2024 | 59.05 Mn |
| Sep 29, 2024 | 66.88 Mn |
| Jun 30, 2024 | 57.53 Mn |
| Mar 31, 2024 | 55.87 Mn |
| Dec 31, 2023 | 46.55 Mn |
| Oct 1, 2023 | 65.27 Mn |
| Jul 2, 2023 | 65.85 Mn |
| Apr 2, 2023 | 79.40 Mn |
| Dec 31, 2022 | 63.38 Mn |
| Sep 25, 2022 | 55.41 Mn |
| Jun 26, 2022 | 56.00 Mn |
| Mar 27, 2022 | 62.13 Mn |
| Dec 31, 2021 | 55.63 Mn |
| Sep 26, 2021 | 63.24 Mn |
Teleflex Other Accumulated Expenses 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-accumulated-expenses&ticker=TFX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-accumulated-expenses", "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-accumulated-expenses&ticker=TFX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();