Teleflex (TFX) Operating Expenses (2009 - 2026)
Teleflex (TFX) recorded Operating Expenses of $258.88 million in Q2 2026, up 48.2% from $174.69 million a year earlier but down 9.9% from the prior quarter.
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Analysis
Teleflex (TFX) Operating Expenses (2009 - 2026) Analysis & Trends
On a TTM basis, Teleflex's Operating Expenses came in at $1.01 billion as of Jun 30, 2026, up 76.1% year-over-year; for FY2025, it came in at $1 billion, up 25.1% from FY2024.
- Annual Operating Expenses has a five-year compound annual growth rate of 2.1% (FY2020 to FY2025).
- Across earlier years, Operating Expenses came in at $801 million in FY2024 (+8.2%), $740.59 million in FY2023 (-28.6%), $1.04 billion in FY2022 (+2.5%) and $1.01 billion in FY2021 (+12.3%).
- Quarterly Operating Expenses has ranged from -$67.63 million in Q4 2024 to $456.62 million in Q3 2025 over the past five years.
- On a year-over-year basis, Operating Expenses rose in four of the last six quarters, with growth averaging 17.2%.
- Peak year-over-year performance for Operating Expenses in the last five years was growth of 59.9% in Q1 2026, against a decline of 41.7% in Q2 2025 at the low end.
- Per Business Quant, the preceding three quarters came in at $287.24 million (Q1 2026), $6.12 million (Q4 2025) and $456.62 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 257.99 Bn | 237.02 Bn | 4.88 Bn | 9.91 Bn |
| 2 | Abbott Laboratories | 175.01 Bn | 145.44 Bn | 7.27 Bn | 10.90 Bn |
| 3 | Danaher | 164.93 Bn | 148.74 Bn | 3.61 Bn | 2.48 Bn |
| 4 | Intuitive Surgical | 151.84 Bn | 131.26 Bn | 1.96 Bn | 988.50 Mn |
| 5 | Medtronic | 119.05 Bn | 84.30 Bn | 6.34 Bn | 4.06 Bn |
| 6 | Stryker | 113.89 Bn | 100.00 Bn | 4.50 Bn | 2.84 Bn |
| 7 | Boston Scientific | 65.37 Bn | 60.13 Bn | 3.85 Bn | 2.67 Bn |
| 8 | Becton Dickinson | 53.36 Bn | 50.51 Bn | 2.32 Bn | 4.32 Bn |
| 9 | Edwards Lifesciences | 50.83 Bn | 34.83 Bn | 1.35 Bn | 840.10 Mn |
| 10 | Teleflex | 5.68 Bn | 4.34 Bn | 331.71 Mn | 258.88 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 258.88 Mn |
| Mar 31, 2026 | 287.24 Mn |
| Dec 31, 2025 | 6.12 Mn |
| Sep 28, 2025 | 456.62 Mn |
| Jun 29, 2025 | 174.69 Mn |
| Mar 30, 2025 | 179.63 Mn |
| Dec 31, 2024 | -67.63 Mn |
| Sep 29, 2024 | 286.27 Mn |
| Jun 30, 2024 | 299.58 Mn |
| Mar 31, 2024 | 282.79 Mn |
| Dec 31, 2023 | -51.08 Mn |
| Oct 1, 2023 | 251.00 Mn |
| Jul 2, 2023 | 264.26 Mn |
| Apr 2, 2023 | 276.41 Mn |
| Dec 31, 2022 | 293.48 Mn |
| Sep 25, 2022 | 248.01 Mn |
| Jun 26, 2022 | 253.68 Mn |
| Mar 27, 2022 | 242.70 Mn |
| Dec 31, 2021 | 264.67 Mn |
| Sep 26, 2021 | 237.97 Mn |
API Access
Teleflex Operating 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=operating-expenses&ticker=TFX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-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=operating-expenses&ticker=TFX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();