Teleflex (TFX) EBITDA (2009 - 2026)
Teleflex's EBITDA was $122.64 million in Q2 2026, down 4.2% from $128.03 million a year earlier but up 65.9% from the prior quarter.
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Analysis
Teleflex (TFX) EBITDA (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, Teleflex's EBITDA was $250.28 million through Jun 30, 2026, down 36.5% year-over-year; for FY2025, it came in at $296.16 million, up 11.7% from FY2024.
- EBITDA shows a five-year compound annual growth rate of -14.6% (FY2020 to FY2025).
- In earlier years, EBITDA was $265.21 million in FY2024 (-34.8%), $406.83 million in FY2023 (-44.3%), $730.33 million in FY2022 (-15.6%) and $865.46 million in FY2021 (+33.1%).
- Quarterly EBITDA has moved between -$194.93 million (Q4 2023) and $299.8 million (Q3 2021) over five years.
- Compared with a year earlier, EBITDA was higher in 1 of the last five quarters, with an average decline of 23.4%.
- The best year-over-year quarter for EBITDA over five years was Q3 2021 (growth of 58.7%); the worst was Q3 2025 (a decline of 48.1%).
- Per Business Quant data, TFX's EBITDA in the three quarters before Q2 2026 was $73.93 million (Q1 2026), -$19.31 million (Q4 2025) and $73.02 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 257.99 Bn | 237.02 Bn | 4.88 Bn | 2.90 Bn |
| 2 | Abbott Laboratories | 175.01 Bn | 145.44 Bn | 7.27 Bn | 2.75 Bn |
| 3 | Danaher | 164.93 Bn | 148.74 Bn | 3.61 Bn | 1.79 Bn |
| 4 | Intuitive Surgical | 151.84 Bn | 131.26 Bn | 1.96 Bn | 1.19 Bn |
| 5 | Medtronic | 119.05 Bn | 84.30 Bn | 6.34 Bn | 2.49 Bn |
| 6 | Stryker | 113.89 Bn | 100.00 Bn | 4.50 Bn | 1.96 Bn |
| 7 | Boston Scientific | 65.37 Bn | 60.13 Bn | 3.85 Bn | 1.53 Bn |
| 8 | Becton Dickinson | 53.36 Bn | 50.51 Bn | 2.32 Bn | 1.23 Bn |
| 9 | Edwards Lifesciences | 50.83 Bn | 34.83 Bn | 1.35 Bn | 555.90 Mn |
| 10 | Teleflex | 5.68 Bn | 4.34 Bn | 331.71 Mn | 124.14 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 124.14 Mn |
| Mar 31, 2026 | 75.41 Mn |
| Dec 31, 2025 | -17.82 Mn |
| Sep 28, 2025 | 74.50 Mn |
| Jun 29, 2025 | 128.88 Mn |
| Mar 30, 2025 | 115.27 Mn |
| Dec 31, 2024 | 12.00 Mn |
| Sep 29, 2024 | 141.45 Mn |
| Jun 30, 2024 | 120.05 Mn |
| Mar 31, 2024 | -4.88 Mn |
| Dec 31, 2023 | -194.08 Mn |
| Oct 1, 2023 | 223.75 Mn |
| Jul 2, 2023 | 204.91 Mn |
| Apr 2, 2023 | 175.65 Mn |
| Dec 31, 2022 | 189.11 Mn |
| Sep 25, 2022 | 189.84 Mn |
| Jun 26, 2022 | 192.93 Mn |
| Mar 27, 2022 | 162.50 Mn |
| Dec 31, 2021 | 214.81 Mn |
| Sep 26, 2021 | 300.85 Mn |
API Access
Teleflex EBITDA 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=ebitda&ticker=TFX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=TFX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();