Teleflex (TFX) Cost of Revenue (2009 - 2026)
Teleflex's Cost of Revenue came in at $238.63 million for Q2 2026, up 35.0% from $176.7 million a year earlier but down 0.9% from the prior quarter.
Teleflex (TFX) Cost of Revenue (2009 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Teleflex reported Cost of Revenue of $690.39 million, up 101.4% year-over-year; for FY2025, it was $871.96 million, up 31.7% from FY2024.
- Cost of Revenue carries a five-year compound annual growth rate of -6.4% (FY2020 to FY2025).
- Going back by year, Cost of Revenue was $662.16 million in FY2024 (-1.5%), $672.33 million in FY2023 (-46.6%), $1.26 billion in FY2022 (unchanged) and $1.26 billion in FY2021 (+3.9%).
- The five-year range for quarterly Cost of Revenue is -$326.99 million (Q4 2024) to $461.38 million (Q3 2025).
- Year-over-year, Cost of Revenue increased in four of the last six quarters, with growth averaging 4.7%.
- The fastest year-over-year change in Cost of Revenue over five years came in Q1 2026 (growth of 51.6%), and the weakest in Q1 2025 (a decline of 50.6%).
- Business Quant data shows TFX's Cost of Revenue at $240.84 million (Q1 2026), -$250.45 million (Q4 2025) and $461.38 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cost of Rev (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 242.18 Bn | 221.33 Bn | 4.88 Bn | 7.11 Bn |
| 2 | Abbott Laboratories | 168.71 Bn | 139.79 Bn | 7.27 Bn | 5.33 Bn |
| 3 | Danaher | 150.46 Bn | 134.27 Bn | 3.61 Bn | 2.65 Bn |
| 4 | Intuitive Surgical | 138.71 Bn | 118.26 Bn | 1.96 Bn | 931.90 Mn |
| 5 | Medtronic | 110.54 Bn | 76.41 Bn | 6.34 Bn | 3.42 Bn |
| 6 | Stryker | 105.66 Bn | 91.78 Bn | 4.50 Bn | 2.09 Bn |
| 7 | Boston Scientific | 61.74 Bn | 56.75 Bn | 3.85 Bn | 1.59 Bn |
| 8 | Edwards Lifesciences | 49.09 Bn | 33.21 Bn | 1.35 Bn | 392.40 Mn |
| 9 | Becton Dickinson | 48.16 Bn | 45.31 Bn | 2.32 Bn | 2.67 Bn |
| 10 | Teleflex | 5.26 Bn | 3.92 Bn | 331.71 Mn | 238.63 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 238.63 Mn |
| Mar 31, 2026 | 240.84 Mn |
| Dec 31, 2025 | -250.45 Mn |
| Sep 28, 2025 | 461.38 Mn |
| Jun 29, 2025 | 176.70 Mn |
| Mar 30, 2025 | 158.83 Mn |
| Dec 31, 2024 | -326.99 Mn |
| Sep 29, 2024 | 334.20 Mn |
| Jun 30, 2024 | 333.23 Mn |
| Mar 31, 2024 | 321.72 Mn |
| Dec 31, 2023 | -312.74 Mn |
| Oct 1, 2023 | 330.08 Mn |
| Jul 2, 2023 | 335.44 Mn |
| Apr 2, 2023 | 319.55 Mn |
| Dec 31, 2022 | 335.93 Mn |
| Sep 25, 2022 | 312.83 Mn |
| Jun 26, 2022 | 315.71 Mn |
| Mar 27, 2022 | 295.48 Mn |
| Dec 31, 2021 | 342.18 Mn |
| Sep 26, 2021 | 312.46 Mn |
Teleflex Cost of Revenue 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=cost-of-revenue&ticker=TFX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cost-of-revenue", "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=cost-of-revenue&ticker=TFX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();