Teleflex (TFX) Accumulated Expenses (2009 - 2026)
Teleflex's Accumulated Expenses was $134.17 million in Q2 2026, down 14.6% from $157.18 million a year earlier but up 13.3% from the prior quarter.
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Analysis
Teleflex (TFX) Accumulated Expenses (2009 - 2026) Analysis & Trends
At the end of FY2025, Accumulated Expenses at Teleflex came in at $117.35 million, up 8.7% from FY2024.
- Accumulated Expenses shows a five-year compound annual growth rate of -2.9% (FY2020 to FY2025).
- In earlier years, Accumulated Expenses was $107.98 million in FY2024 (-26.5%), $146.88 million in FY2023 (+4.4%), $140.64 million in FY2022 (-13.9%) and $163.44 million in FY2021 (+19.9%).
- Quarterly Accumulated Expenses has moved between $107.98 million (Q4 2024) and $163.44 million (Q4 2021) over five years.
- Compared with a year earlier, Accumulated Expenses was higher in four of the last eight quarters, with an average decline of 3.7%.
- The best year-over-year quarter for Accumulated Expenses over five years was Q2 2024 (growth of 20.0%); the worst was Q4 2024 (a decline of 26.5%).
- Per Business Quant data, TFX's Accumulated Expenses in the three quarters before Q2 2026 was $118.42 million (Q1 2026), $117.35 million (Q4 2025) and $147.05 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 253.05 Bn | 232.08 Bn | 4.88 Bn |
| 2 | Abbott Laboratories | 178.31 Bn | 148.74 Bn | 7.27 Bn |
| 3 | Danaher | 164.12 Bn | 147.93 Bn | 3.61 Bn |
| 4 | Intuitive Surgical | 156.06 Bn | 135.48 Bn | 1.96 Bn |
| 5 | Medtronic | 122.78 Bn | 88.03 Bn | 6.34 Bn |
| 6 | Stryker | 118.36 Bn | 104.48 Bn | 4.50 Bn |
| 7 | Boston Scientific | 67.35 Bn | 62.12 Bn | 3.85 Bn |
| 8 | Becton Dickinson | 54.66 Bn | 51.81 Bn | 2.32 Bn |
| 9 | Edwards Lifesciences | 51.63 Bn | 35.64 Bn | 1.35 Bn |
| 10 | Teleflex | 5.89 Bn | 4.55 Bn | 331.71 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 137.73 Mn |
| Mar 31, 2026 | 134.90 Mn |
| Dec 31, 2025 | 122.75 Mn |
| Sep 28, 2025 | 163.82 Mn |
| Jun 29, 2025 | 162.81 Mn |
| Mar 30, 2025 | 167.88 Mn |
| Dec 31, 2024 | 113.32 Mn |
| Sep 29, 2024 | 174.44 Mn |
| Jun 30, 2024 | 159.17 Mn |
| Mar 31, 2024 | 153.61 Mn |
| Dec 31, 2023 | 152.46 Mn |
| Oct 1, 2023 | 150.50 Mn |
| Jul 2, 2023 | 133.65 Mn |
| Apr 2, 2023 | 140.31 Mn |
| Dec 31, 2022 | 145.98 Mn |
| Sep 25, 2022 | 156.74 Mn |
| Jun 26, 2022 | 156.47 Mn |
| Mar 27, 2022 | 175.75 Mn |
| Dec 31, 2021 | 168.65 Mn |
| Sep 26, 2021 | 142.87 Mn |
API Access
Teleflex 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=accumulated-expenses&ticker=TFX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "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=accumulated-expenses&ticker=TFX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();